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ORCIDBigData Conference 2022: Osaka, Japan
- Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan:
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. IEEE 2022, ISBN 978-1-6654-8045-1 - Daniel Cheriyan, Jurng-Jae Lee, Jae-Ho Choi:
Construction Worker Health and Safety Monitoring System Using Brainwave and Pollution Data. 1 - Jin-Young Choi, Eun-Ju Ha, Jae-Ho Choi:
Data Mining Approach to determine injured Area of the Construction Worker using Accident Loss Cost. 1 - Hyung-Jin Kim, Kwang-Sik Kim, Min-Seok Kim, Jang-Hyun Lee:
Development of Fault Detection Algorithm using LP Pump Failure Data. 1 - Eun-Ju Ha, Jin Young Choi, Jae-Ho Choi:
Data Mining Approach for Predicting the Fall Accident Cost in Construction Projects. 1 - Jongseok Jeon, SeungHo Kim, Joohee Oh:
How Do You Watch Music Video: "Watching or Listening?". 1 - Pedro Augusto Da S. E. S. Miranda, Plinio P. Morita:
A Proposed Personal Data Sovereignty Inter-Organizational Governance Framework for Public Health Research. 1 - Lamine Diop, Cheikh Talibouya Diop, Arnaud Giacometti, Arnaud Soulet:
Trie-based Output Space Itemset Sampling. 6-15 - Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie:
Efficient Multiple Objective Optimization for Fair Misinformation Detection. 16-25 - Ghazal Fazelnia, John W. Paisley:
Probabilistic Orthogonal Matching Pursuit. 26-35 - Weimao Ke:
Alternatives to Classic BM25-IDF based on a New Information Theoretical Framework. 36-44 - Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima:
Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle. 45-54 - John W. Paisley, Sebastian Rowland, Jeremiah Zhe Liu, Brent A. Coull, Marianthi-Anna Kioumourtzoglou:
Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations. 55-64 - Rohit P. Singh
, Philip A. Wilsey:
Persistence Homology of Proximity Hyper-Graphs for Higher Dimensional Big Data. 65-74 - Gabriel Stella, Dmitri Loguinov:
On High-Latency Bowtie Data Streaming. 75-84 - Ye Xue, Diego Klabjan, Yuan Luo:
Aggregation Delayed Federated Learning. 85-94 - Md. Shafiul Alam, Ying Xie:
Appley: Approximate Shapley Value for Model Explainability in Linear Time. 95-100 - Prakash Chourasia, Sarwan Ali, Murray Patterson:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. 101-106 - Leonidas Fegaras, Tanvir Ahmed Khan, Md Hasanuzzaman Noor, Tanzima Sultana:
Scalable Tensors for Big Data Analytics. 107-114 - Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. 115-120 - Sreepada Tarun, Rage Uday Kiran, Yutaka Watanobe, Kazuo Goda:
A Novel GPU-Accelerated Algorithm to Discover Periodic-Frequent Patterns in Temporal Databases. 121-126 - Monika Shah, Somdeb Sarkhel, Deepak Venugopal:
Evaluating Captioning Models using Markov Logic Networks. 127-134 - Weili Shi, Sheng Li:
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training. 135-140 - Marziyeh Nourian, Tri Nguyen, Andrew A. Chien, Michela Becchi:
Data Transformation Acceleration using Deterministic Finite-State Transducers. 141-150 - Carlos Ordonez:
Scalable Parallel Machine Learning Computing a Summarization Matrix with SQL Queries. 151-160 - Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. 161-169 - Pengfei Zhang, Ziqiang Feng, Eric Lo, Hailin Qin:
ByteStore: Hybrid Layouts for Main-Memory Column Stores. 170-179 - K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell:
Adaptive Aggregation For Federated Learning. 180-185 - Sungjae Lee, Yoonseo Hur, Subin Park, Kyungyong Lee:
PROFET: PROFiling-based CNN Training Latency ProphET for GPU Cloud Instances. 186-193 - Pranava Mummoju, Anna Wolff, Martin Perdacher, Claudia Plant, Christian Böhm:
Enhancing k-Means Algorithm with Tensor Processing Unit. 194-200 - Antonio Iyda Paganelli, Pedro Elkind Velmovitsky, Adriano Branco, Markus Endler, Plinio Pelegrini Morita, Paulo Alencar, Donald D. Cowan:
A novel self-adaptive method for improving patient monitoring with composite early-warning scores. 201-208 - Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. 209-216 - Hamid Shahrivari, Odysseas Papapetrou, George Fletcher:
Workload Prediction for Adaptive Approximate Query Processing. 217-222 - Zhenzhao Wang, Santosh Marella, Mak Inada, Pablo Rodriguez Defino, Abhishek Jagannath, Lohit Vijayarenu:
Latency vs Cost : Data Ingestion options at Twitter Scale. 223-227 - Damien T. Wojtowicz, Shaoyi Yin, Jorge Martinez-Gil, Franck Morvan, Abdelkader Hameurlain:
Multi-Cloud Query Optimisation with Accurate and Efficient Quoting. 228-233 - Ziren Xiao, Aaron Harwood, Maria A. Rodriguez:
Optimal Rate Control for Latency-constrained High Throughput Big Data Applications. 234-241 - Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification. 242-251 - Yicheng Tu, Mehrad Eslami, Zichen Xu, Hadi Charkhgard:
Multi-Query Optimization Revisited: A Full-Query Algebraic Method. 252-261 - Kevin Fang, Vaikkunth Mugunthan, Vayd Ramkumar, Lalana Kagal:
Overcoming Challenges of Synthetic Data Generation. 262-270 - Neni Alya Firdausanti, Tirana Noor Fatyanosa, Mahendra Data, Israel Mendonça, Masayoshi Aritsugi:
Two-Stage Sampling: A Framework for Imbalanced Classification With Overlapped Classes. 271-280 - Daniel Glake, Mareike Schmidt, Felix Kiehn, Fabian Panse, Ulfia Lenfers, Thomas Clemen, Norbert Ritter:
Operator Placement for Spatio-temporal Tasks. 281-290 - Abdullah al-Raihan Nayeem, Huikyo Lee, Dongyun Han, Mohammed Elshambakey, William J. Tolone, Todd Dobbs, Daniel J. Crichton, Isaac Cho:
DCPViz: A Visual Analytics Approach for Downscaled Climate Projections. 291-300 - Thu Nguyen, Ngoc Vu, Binh Ly:
An approach to constructing a graph data repository for course recommendation based on IT career goals in the context of big data. 301-308 - Jason Orender, Mohammad Zubair, Jiangwen Sun:
LASSO Logic Engine: harnessing the logic parsing capabilities of the LASSO algorithm for longitudinal feature learning. 309-318 - Owen Randall, Paul Lu:
Predicting Deduplication Performance: An Analytical Model and Empirical Evaluation. 319-328 - Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong:
iFiG: Individually Fair Multi-view Graph Clustering. 329-338 - Weikai Xu, Lihui Liu, Hanghang Tong:
ABM: Attention-based Message Passing Network for Knowledge Graph Completion. 339-348 - Xiaohu Zhao, Kebin Jia, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia:
VIMTS: Variational-based Imputation for Multi-modal Time Series. 349-358 - Chrysovalantis Anastasiou, Seon Ho Kim, Cyrus Shahabi:
Generation of Synthetic Urban Vehicle Trajectories. 359-366 - Tao Cai, Yueming Ma, Dejiao Niu, Pengfei Gao, Tianle Lei, Jianfei Dai:
A New IoT Storage System Based on Raw NVM. 367-372 - Damianos Chatziantoniou, Verena Kantere, Nikos Antoniou, Angeliki Gantzia:
Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments. 373-380 - Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, Naonori Ueda:
Fast Binary Network Hashing via Graph Clustering. 381-388 - Ahmed A. Harby, Farhana H. Zulkernine:
From Data Warehouse to Lakehouse: A Comparative Review. 389-395 - Hyein Hong, Sangbong Yoo, Yejin Jin, Chanyoung Yoon, Soobin Yim, Seokhwan Choi, Yun Jang:
Visual Analytics System of Comprehensive Data Quality Improvement for Machine Learning using Data- and Process-driven Strategies. 396-401 - Alexandros Karakasidis, Georgia Koloniari:
Efficient Privacy Preserving Record Linkage at Scale using Apache Spark. 402-407 - Chihiro Maru, Boris Brandherm, Ichiro Kobayashi:
Verification of Sparsity in the Attention Mechanism of Transformer for Anomaly Detection in Multivariate Time Series. 408-414 - Kento Miura, Ryohei Kobayashi, Toshiyuki Amagasa, Hiroyuki Kitagawa, Norihisa Fujita, Taisuke Boku:
An FPGA-based Accelerator for Regular Path Queries over Edge-labeled Graphs. 415-422 - Prashanth Thinakaran, Kanak Mahadik, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Chita R. Das:
SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. 423-430 - Mimi Wang, Xudong He, Peihai Zhao:
A Novel Estimate Fitness Method by Measuring A large number of Sub-event Logs Conformance. 431-436 - Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. 437-444 - Daichi Amagata:
Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data. 445-454 - Md. Rabiul Awal, Minh Dang Nguyen, Roy Ka-Wei Lee, Kenny Tsu Wei Choo:
MUSCAT: Multilingual Rumor Detection in Social Media Conversations. 455-464 - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Learning Diversity Attributes in Multi-Session Recommendations. 465-474 - Yijin Cai, Yilei Wang, Weijin Wang, Wenting Chen:
RI-GCN: Review-aware Interactive Graph Convolutional Network for Review-based Item Recommendation. 475-484 - Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto:
Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow. 485-494 - Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Proximal Cost-sensitive Sparse Group Online Learning. 495-504 - Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Self-supervised Hypergraph Representation Learning. 505-514 - Hassan Eldeeb, Shota Amashukeli, Radwa El Shawi:
BigFeat: Scalable and Interpretable Automated Feature Engineering Framework. 515-524 - Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu:
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. 525-534 - Moghis Fereidouni, Adib Mosharrof, Umar Farooq, A. B. Siddique:
Proactive Prioritization of App Issues via Contrastive Learning. 535-544 - Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo:
Dynamic Graph Summarization: Optimal and Scalable. 545-554 - Koby Hayashi, Sinan G. Aksoy, Haesun Park:
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. 555-564 - Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. 565-574 - Haoji Hu, Haowen Lin, Yao-Yi Chiang:
Clustering Human Mobility with Multiple Spaces. 575-584 - Tunazzina Islam, Dan Goldwasser:
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision. 585-595 - Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. 596-605 - Shima Khoshraftar, Aijun An, Nastaran Babanejad:
Temporal Graph Representation Learning via Maximal Cliques. 606-615 - Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. 616-625 - Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu:
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. 626-635 - Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu:
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. 636-645 - Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao:
On Inferring User Socioeconomic Status with Mobility Records. 646-655 - Hui Xue, Bo Sun, Weixuan Mao, Jianjun Lin, Yijing Zhang, Xiaoyu Liu, Xiaodu Yang, Ziqian Chen:
Spatial Density-based User Identity Linkage across Social Networks. 656-664 - Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu:
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. 665-674 - Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, Yongdong Zhang:
Abusive Language Detection with Graph based Multi-task Learning. 675-684 - Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala:
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. 685-692 - Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. 693-700 - Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro:
Proactive Query Expansion for Streaming Data Using External Sources. 701-708 - Henrique S. Assumpção, Fabrício Souza, Leandro Lacerda Campos, Vinícius T. de Castro Pires, Paulo M. Laurentys de Almeida, Fabricio Murai:
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs. 709-714 - Dianbin Bao, Kisung You, Lizhen Lin:
Network Distance based on Laplacian Flows on Graphs. 715-720 - Rui Fan, Tingting He, Yufan Wang, Jie Hong, Xinhui Tu:
Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction. 721-726 - Xiaochuan Gou, Peng Han, Xiangliang Zhang:
QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting. 727-733 - Michael N. Gubanov, Anna Pyayt, Sophie Pavia:
Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. 734-739 - Luis Felipe Gutiérrez, Akbar Siami Namin:
Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study. 740-747 - Isaiah J. King, H. Howie Huang:
Graggle: A Graph-based Approach to Document Clustering. 748-755 - Trung-Hoang Le, Hady W. Lauw:
Question-Attentive Review-Level Recommendation Explanation. 756-761 - Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. 762-769 - Xuan Li, Li Zhang:
Neighborhood Preserving Embedding via Capsules for Collaborative Filtering. 770-775 - Kunihiro Miyazaki, Takayuki Uchiba, Haewoon Kwak, Jisun An:
Characterizing Spontaneous Ideation Contest on Social Media: Case Study on the Name Change of Facebook to Meta. 776-783 - Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho:
Learning on Health Fairness and Environmental Justice via Interactive Visualization. 784-791 - Pierce Smith, Sangmi Lee Pallickara, Shrideep Pallickara:
Griddle: Effective Query Support over Voluminous Gridded Spatial Datasets. 792-799 - Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang:
Dynamic Graph Node Classification via Time Augmentation. 800-805 - Man Wu, Xingquan Zhu:
Temporal Adaptive Aggregation Network for Dynamic Graph Learning. 806-811 - Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. 812-817 - Geng Zhao, Yi Huang, Chi Hsu Tsai:
FedGSL: Federated Graph Structure Learning for Local Subgraph Augmentation. 818-824 - Gary Ang, Ee-Peng Lim:
Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks. 825-834 - Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang:
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. 835-843 - Jagat Sesh Challa, Dhruv Rawat, Navneet Goyal, Poonam Goyal:
AnyStreamKM: Anytime k-medoids Clustering for Streaming Data. 844-853 - Tianwen Chen, Raymond Chi-Wing Wong:
Improving Representation Learning for Session-based Recommendation. 854-863 - Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin:
Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium. 864-873 - Jing Chen, Germán Creamer, Yue Ning:
Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis. 874-883 - Ebba Ekblom, Edvin Listo Zec, Olof Mogren:
EFFGAN: Ensembles of fine-tuned federated GANs. 884-892 - Lubna Eljabu, Mohammad Etemad, Stan Matwin:
Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction. 893-902 - Jared Gridley, Oshani Seneviratne:
Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses. 903-910 - Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt:
Heterogeneity-Aware Adaptive Federated Learning Scheduling. 911-920 - Jiayue Han, Zhiqiang Cai, Zhiyou Wu, Xiang Zhou:
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. 921-930 - Po-Wei Harn, Sai Deepthi Yeddula, Bo Hui, Jie Zhang, Libo Sun, Min-Te Sun, Wei-Shinn Ku:
IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket. 931-941 - Andrew Hill, Russell Bowler, Katerina J. Kechris, Farnoush Banaei Kashani:
Semi-supervised Embedding for Scalable and Accurate Time Series Clustering. 942-951 - Ke Huang, Jifeng Sun, Zuominyang Zhang, Ying Ye, Wenjian Hou:
Dynamic network of commodity futures market and systemic risk contribution of key commodities. 952-961 - Tao Huang, Qingyang Li, Zhiwei Qin:
Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution. 962-971 - Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters. 972-981 - Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, U Kang:
Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values. 982-991 - Shayan Jawed, Lars Schmidt-Thieme:
GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting. 992-1001 - Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. 1002-1013 - Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, Xintao Wu:
SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge. 1014-1023 - Yijun Lin, Yao-Yi Chiang:
A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data. 1024-1033 - Cheng-Han Lu, Shih-Hao Hung:
FEZ: Flexible and Efficient Zoom-In for Ultra-Large Image Classification. 1034-1043 - Roberto Mansilla, Gavin Smith, Andrew Smith, James Goulding:
Bundle entropy as an optimized measure of consumers' systematic product choice combinations in mass transactional data. 1044-1053 - Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín:
Physics-based multiple time-series univariate forecasting. 1054-1059 - Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang:
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. 1060-1069 - Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao:
Role-Oriented Dynamic Network Embedding. 1070-1079 - Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Randomize Adversarial Defense in a Light Way. 1080-1089 - Shuxin Qin, Jing Zhu, Dan Wang, Liang Ou, Hongxin Gui, Gaofeng Tao:
Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection. 1090-1098 - Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta:
Functional approach for Two Way Dimension Reduction in Time Series. 1099-1106 - Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan:
WaveNets: Wavelet Channel Attention Networks. 1107-1113 - Kanghyeon Seo, Jihoon Yang:
Exploring Multi-Time Context Vector and Randomness for Stock Movement Prediction. 1114-1123 - Seonguk Seo, Jihye Ha, Jieun Shin, Sunah Kim, Taeho Hwang:
A Unified Model for Bid Landscape Forecasting in the Mixed Auction Types of Real-Time Bidding. 1124-1133 - Lijiang Shao, Wenjin Wang, Shiguo Huang, Xiaolin Li:
LLU-Swin: Low-Light Image Enhancement with U-shaped Swin Transformer. 1134-1141 - Xingyu Su, Yanyan Shen:
Tab-HGNN: Learning Column Representation with Heterogeneous Graph Neural Network for Web Table Interpretation. 1142-1151 - Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni:
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. 1152-1161 - Zihang Xu, Luoyi Fu, Xinbing Wang:
PromptRGD: Prompt Learning with Relation-aware Gradient Denoising for Low-resource Relation Extraction. 1162-1171 - Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang:
RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. 1172-1181 - Zhaofeng Yu, Kun Niu, Xiao Chen, Zhijun Guo, Dongsheng Li:
A Hybrid Model Based on NeuralProphet and Long Short-Term Memory for Time Series Forecasting. 1182-1191 - Rui Zhang, Jianjun Yu, Yuanchun Zhou:
AuxPOS: Improving Grammatical Correctness with Big Data Based Text Summarization. 1192-1201 - Tian Zhou, Fubao Wu, Lixin Gao:
Profiling-free Configuration Adaptation and Latency-Aware Resource Scheduling for Video Analytics. 1202-1211 - He Cheng, Depeng Xu, Shuhan Yuan:
Sequential Anomaly Detection with Local and Global Explanations. 1212-1217 - Charles Courchaine, Ricky J. Sethi:
Fuzzy Law: Towards Creating a Novel Explainable Technology-Assisted Review System for e-Discovery. 1218-1223 - Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, Ehab Al-Shaer:
VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. 1224-1229 - Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud:
FedLesScan: Mitigating Stragglers in Serverless Federated Learning. 1230-1237 - Yugo Fujimoto, Kei Nakagawa, Kentaro Imajo, Kentaro Minami:
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty. 1238-1245 - Xiaoyu Guo, Usman Anjum, Justin Zhan:
Cyberbully Detection Using BERT with Augmented Texts. 1246-1253 - Huaxiong Yao, Jia Guo, JunTao Yang, ZuoQuan Xie, Renyi Chen, MengLing Hu:
Dynamic Graph Attention Recurrent Network for Traffic Prediction. 1254-1259 - Nevo Itzhak, Shahar Tal, Hadas Cohen, Osher Daniel, Roze Kopylov, Robert Moskovitch:
Classification of Univariate Time Series via Temporal Abstraction and Deep Learning. 1260-1265 - Yufei Jin, Xingquan Zhu:
Predictive Masking for Semi-Supervised Graph Contrastive Learning. 1266-1271 - Arshveer Kaur, Poonam Goyal, Kartik Sharma, Lakshay Sharma, Navneet Goyal:
A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction. 1272-1279 - Sabuj Laskar, Muhammad Abdullah Adnan:
Fast Support Vector Machine Using Singular Value Decomposition. 1280-1285 - Jaewoo Lee:
MBAG: A Scalable Mini-Block Adaptive Gradient Method for Deep Neural Networks. 1286-1291 - Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang:
A Convergence Theory for Federated Average: Beyond Smoothness. 1292-1297 - Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, Baocai Yin:
SHCN: Self-supervised General Hypergraph Clustering Network. 1298-1303 - Xinqi Lyu, Yibo Chen, Jiamin Chen, Xiangyue Liu, Jianliang Gao:
Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction. 1304-1309 - Raha Moraffah, Paras Sheth, Huan Liu:
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. 1310-1315 - Quentin R. Petit, Chong Li, Serge G. Petiton, Kelun Chai, Nahid Emad:
Enhancing Graph Convolutional Networks by Topology Sampling. 1316-1323 - Wenting Qi, Charalampos Chelmis:
Robust Learning with Noisy Label Detection and Counterfactual Correction. 1324-1329 - Wenting Qi, Charalampos Chelmis:
Label Denoising and Counterfactual Explanation with A Plug and Play Framework. 1330-1335 - Xin Qian, Matthew Kennedy, Diego Klabjan:
Dynamic Cell Structure via Recursive-Recurrent Neural Networks. 1336-1349 - Xiaoli Ren, Kefeng Deng, Kaijun Ren, Junqiang Song, Xiaoyong Li, Qing Xu:
FVec2vec: A Fast Nonlinear Dimensionality Reduction Approach for General Data. 1350-1355 - Riazat Ryan, Ming Shao:
Critic-over-Actor-Critic Modeling: Finding Optimal Strategy in ICU Environments. 1356-1361 - Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto:
Road Rutting Detection using Deep Learning on Images. 1362-1368 - Zhuo Tan, Bin Liu, Guosheng Yin:
Asymmetric Self-Supervised Graph Neural Networks. 1369-1376 - Swapna Thorve, Anil Vullikanti, Henning S. Mortveit, Samarth Swarup, Madhav V. Marathe:
Fidelity and diversity metrics for validating hierarchical synthetic data: Application to residential energy demand. 1377-1382 - Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu:
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing. 1383-1388 - Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He:
Adaptive Knowledge Transfer on Evolving Domains. 1389-1394 - Yiming Xu, Diego Klabjan:
Open Set Domain Adaptation by Extreme Value Theory. 1395-1400 - Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. 1401-1408 - Mengmeng Zhu, Shouhong Wan, Peiquan Jin, Peiyi Zhang:
DFFNet: Dynamic Feature Fusion Network for Weakly Supervised Object Detection in Remote Sensing Images. 1409-1414 - Karuna Bhaila, Yongkai Wu, Xintao Wu:
Fair Collective Classification in Networked Data. 1415-1424 - Alycia N. Carey, Wei Du, Xintao Wu:
Robust Personalized Federated Learning under Demographic Fairness Heterogeneity. 1425-1434 - Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. 1435-1444 - Po-Wei Harn, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, Wei-Shinn Ku:
Location-based Alert System Using Searchable Encryption with Hilbert Curve Encoding. 1445-1454 - Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
InfoFair: Information-Theoretic Intersectional Fairness. 1455-1464 - Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. 1465-1474 - Vinay M. S., Shuhan Yuan, Xintao Wu:
Fraud Detection via Contrastive Positive Unlabeled Learning. 1475-1484 - Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athina Vakali, Maurizio Tesconi:
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series. 1485-1494 - Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. 1495-1504 - Parshin Shojaee, Yingyan Zeng, Muntasir Wahed, Avi Seth, Ran Jin, Ismini Lourentzou:
Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet. 1505-1514 - Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu:
Defending Evasion Attacks via Adversarially Adaptive Training. 1515-1524 - Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Qiang Yan:
FL-Market: Trading Private Models in Federated Learning. 1525-1534 - Ion-Dorinel Filip, Cosmin Ionite, Alba González-Cebrián, Mihaela Balanescu, Ciprian Dobre, Adriana E. Chis, Dave Feenan, Adrian-Alexandru Buga, Ioan-Mihai Constantin, George Suciu, George V. Iordache, Horacio González-Vélez:
Smardy: Zero-Trust FAIR Marketplace for Research Data. 1535-1541 - Kawsar Haghshenas, Brian Setz, Marco Aiello:
CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads. 1542-1549 - Keshav Kasichainula, Hadi Mansourifar, Weidong Shi:
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries. 1550-1555 - Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. 1556-1563 - Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification. 1564-1569 - Sudipta Saha Shubha, Haiying Shen:
Trustworthy Distributed Deep Neural Network Training in an Edge Device Network. 1570-1575 - Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Asymmetric Differential Privacy. 1576-1581 - Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My T. Thai, Xintao Wu:
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. 1582-1587 - Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang:
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations. 1588-1593 - Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. 1594-1603 - Masahiro Bessho, Ken Sakamura:
Store Congestion Forecast under the Pandemic using Point of Sales Statistics. 1604-1612 - Huaxiong Yao, Renyi Chen, Zuoquan Xie, Juntao Yang, Mengling Hu, Jia Guo:
MRA-DGCN: Multi-Range Attention-Based Dynamic Graph Convolutional Network for Traffic Prediction. 1613-1621 - Dan Halbersberg, Matan Halevi, Moshe Salhov:
Revenue Maximization at Waterfall Auctions with Dynamic Programming. 1622-1631 - Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Jackelyn Hwang:
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data. 1632-1640 - Shohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, Joshua Anton:
ESEP: Data-Driven Emergency and Safe Evacuation Driving Path Planning During Natural Catastrophes. 1641-1650 - Gyoung S. Na:
Conditional Graph Regression for Complex Chemical Systems with Heterogeneous Substructures. 1651-1660 - Keiichi Ochiai, Hiroyuki Sato, Hiroshi Kawakami, Takahiro Ide, Toru Otaki, Akira Yamada, Tatsuya Yano, Hiroki Okawa, Takuya Shirai, Yutaka Arakawa:
Encouraging Crowd Avoidance Behavior using Dynamic Pricing Framework Towards Preventing the Spread of COVID-19. 1661-1670 - Jan Ludwig Reubold, Stephan Escher, Christian Wressnegger, Thorsten Strufe:
to Protect the Public Opinion Against New Types of Bots? 1671-1680 - Daniel Roten, Jessica Block, Daniel Crawl, Jenny Lee, Ilkay Altintas:
Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction. 1681-1690 - Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, U Kang:
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets. 1691-1700 - Ajitesh Srivastava, Satwant Singh, Fiona Lee:
Shape-based Evaluation of Epidemic Forecasts. 1701-1710 - You Xuan Thung, Tom Benson, Nikita Klimenko:
Detecting languages in streetscapes using deep convolutional neural networks. 1711-1718 - Laura Uhl, Vincent Augusto, Vincent Lemaire, Youenn Alexandre, Fanny Jardinaud, Paolo Bercelli, Saber Aloui:
Progressive prediction of hospitalisation and patient disposition in the emergency department. 1719-1728 - Julio J. Valdés, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Cough Classification with Deep Derived Features using Audio Spectrogram Transformer. 1729-1739 - Tian Xia, Bo Hui, Wei-Shinn Ku:
APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction. 1740-1749 - Di You, Thanh Tran, Kyumin Lee:
Multi-Behavior Recommendation with Hyperbolic Geometry. 1750-1759 - Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi:
Transition-Aware Multi-Activity Knowledge Tracing. 1760-1769 - Iuliia Alieva, Lynnette Hui Xian Ng, Kathleen M. Carley:
Investigating the Spread of Russian Disinformation about Biolabs in Ukraine on Twitter Using Social Network Analysis. 1770-1775 - Enrico Bassetti, Andrea Conti, Emanuele Panizzi, Gabriele Tolomei:
ISIDE: Proactively Assist University Students at Risk of Dropout. 1776-1783 - Peter Baumann, Johannes Boensmann, Bang Pham Huu:
Building the Next-Generation Radio Networks Planning Infrastructure using Datacubes. 1784-1792 - Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. 1793-1800 - Xianlai Chen, Jiamiao Lin, Ying An:
DL-BERT: a time-aware double-level BERT-style model with pre-training for disease prediction. 1801-1808 - Yu-Min Chung, Amir Nikooienejad, Bo Zhang:
Automatic Eating Behavior Detection from Wrist Motion Sensor Using Bayesian, Gradient Boosting, and Topological Persistence Methods. 1809-1815 - Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu:
AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction. 1816-1821 - Wenbin Gan, Minh-Son Dao, Koji Zettsu:
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. 1822-1829 - Hangtao He, Kejiang Ye:
Graph Structure Neural Differential Equations on Spatio-temporal Prediction. 1830-1835 - Sea Jung Im, Yue Xu, Jason Watson:
Semantic-based Attention model for Hospital Readmission Prediction. 1836-1841 - Hamid Karimi, Kaitlin Torphy Knake, Kenneth A. Frank:
Teachers in Social Media: A Gender-aware Behavior Analysis. 1842-1849 - Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala:
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam. 1850-1857 - Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Fan Zhang, Hiroshi Omata, Yoshihide Sekimoto:
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator. 1858-1865 - Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet:
Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams. 1866-1873 - Yu Li, Yi Zhang, Weijia Wu, Zimu Zhou, Qiang Li:
POSGen: Personalized Opening Sentence Generation for Online Insurance Sales. 1874-1879 - Jingzhe Liu, Peng Wu:
Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition. 1880-1885 - Justin Mao, Oliver Yun, Hanjun Kim, Haipeng Chang, Xuehan Sun:
MeWP: Meta-learning based Water-Level Prediction. 1886-1891 - Fernando Kaway Carvalho Ota, Farouk Damoun, Sofiane Lagraa, Patricia Becerra-Sánchez, Christophe Atten, Jean Hilger, Radu State:
Mobile Application Behaviour Anomaly Detection based on API Calls. 1892-1899 - Yanbo Pang, Yoshihide Sekimoto:
Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction. 1900-1905 - Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D'Orazio:
Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation. 1906-1913 - Taruna Seth, Cristian Tiu, Vipin Chaudhary:
A Unified Framework to Assess Market Implications of Institutional Investments. 1914-1921 - Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. 1922-1929 - Yi Sun, Yukio Ohsawa:
The impact of product descriptions on customers' trust in sellers and purchase intention. 1930-1935 - Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, Srikanth Allu:
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning. 1936-1941 - Cameron Trotter, Nick Wright, A. Stephen McGough, Matthew Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren:
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. 1942-1949 - Pascal Wullschleger, Simone Lionetti, Donnacha Daly, Francesca Volpe, Grégoire Caro:
Auto-Regressive Self-Attention Models for Diagnosis Prediction on Electronic Health Records. 1950-1956 - Yuexin Xiang, Tiantian Li, Yuquan Li:
Leveraging Subgraph Structure for Exploration and Analysis of Bitcoin Address. 1957-1962 - Yuanyuan Zhang, Yexuan Shi, Nan Zhou, Yi Xu, Ke Xu:
Secure Multi-party kNN Search in Large-scale Spatial Data Federation. 1963-1968 - Swati Agarwal, Ashrut Kumar, Rijul Ganguly:
Mining Railway Grievances on Twitter for Efficient E-Governance in India. 1969-1978 - Shubhi Asthana, Bing Zhang, Pawan Chowdhary, Taiga Nakamura:
System and Method on Order Management Using Neural Networks and Risk Modeling. 1979-1986 - Carlos Garcia-Alvarado, Carlos Ordonez:
In-DBMS K-means Clustering for Binary Streams. 1987-1996 - Hao Huang, Tapan Shah, Shinjae Yoo:
Deep Time Series Sketching and Its Application on Industrial Time Series Clustering. 1997-2006 - Zhiren Huang, Alonso Espinosa Mireles de Villafranca, Charalampos Sipetas:
Sensing Multi-modal Mobility Patterns: A Case Study of Helsinki using Bluetooth Beacons and a Mobile Application. 2007-2016 - Yujiro Kawai, Eiichi Sakurai, Yuki Sugawara, Yukihiko Okada, Kai Tanabe, Akiko Tsukao, Shinya Kuno:
Predictive model of frailty onset using Bayesian network. 2017-2023 - Hossein Keshavarz, Zografoula Vagena, Pigi Kouki, Ilias Fountalis, Mehdi Mabrouki, Aziz Belaweid, Nikolaos Vasiloglou:
Named Entity Recognition in Long Documents: An End-to-end Case Study in the Legal Domain. 2024-2033 - Yuxin Liu, Kazuhiro Minami:
Flexible Partitioning of Geographical Information based on GPS Coordinates for k-Anonymity. 2034-2043 - Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. 2044-2051 - Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo:
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information. 2052-2061 - Yuya Takada, Kiyoshi Izumi:
Implementation of Biased Big Data to the Japanese Official Labor Statistics Using Supervised Learning under Covariate Shift. 2062-2071 - Shogo Takedomi, Tsukasa Ishigaki:
A practical facility location optimization with uncertain variables in emergency road services. 2072-2081 - Ankur Teredesai, Sijin Huang, Tucker Stewart, Juhua Hu, Armaan Thakker, Katherine Stern, Grant E. O'Keefe:
Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care. 2082-2092 - Vishnu Gowthem Thangaraj, Sangaralingam Kajanan, Nisha Verma, Sinuo Chen, Anindya Dutta:
Scalable Household Identification using Mobile Engagement Data - A Weighted Two-Mode Network Approach. 2093-2102 - Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Decision Support for Disability Employment using Counterfactual Survival Analysis. 2103-2112 - Sahil Tyagi, Martin Swany:
ScaDLES: Scalable Deep Learning over Streaming data at the Edge. 2113-2122 - Xiang Xie, Muen Jin, Anqi Chu, Wilhelm Stork:
Minimal Cost Device Calibration in Spectral Analysis via Meta Learning: Towards Efficient Deployment of Deep Neural Networks in Industry. 2123-2132 - Yi Yang, Tan Yu, Jie Liu, Zhipeng Jin, Xuewu Jiao, Yi Li, Shuanglong Li, Ping Li:
Enhanced Video BERT for Fast Video Advertisement Retrieval. 2133-2139 - Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li:
Boost CTR Prediction for New Advertisements via Modeling Visual Content. 2140-2149 - Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li:
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. 2150-2159 - Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li:
Feature Fusion Network for Personalized Online Advertising Systems. 2160-2168 - Yutaka Abe, Kazuhiro Minami:
Matching Attacks on Non-deterministic Algorithms for Cell Suppression Problem for Tabular Data. 2169-2174 - Vahid Azizi, Saayan Mitra, Xiang Chen:
Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations. 2175-2181 - Tyler Baldwin, Wyatt Clarke, Maysa M. Garcia de Macedo, Rogério de Paula, Subhro Das:
Better Skill-based Job Representations, Assessed via Job Transition Data. 2182-2185 - Indervir Singh Banipal, Shubhi Asthana:
Smart System for Multi-Cloud Pathways. 2186-2189 - Mariam Barry, Albert Bifet, Raja Chiky, Saad El Jaouhari, Jacob Montiel, Aissa El Ouafi, Eric Guerizec:
Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network. 2190-2197 - Mariam Barry, Saad El Jaouhari, Albert Bifet, Jacob Montiel, Eric Guerizec, Raja Chiky:
StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams. 2198-2205 - Marcos Carvalho, Vítor Mangaravite, Lucas M. Ponce, Luiz Cantelli, Bruno Campoi, Gabriel Nunes, Bruno Barbosa Miranda de Paiva, Alberto H. F. Laender, Marcos André Gonçalves:
Deduplicating Large Volumes of Data from Natural and Legal Entities in the Governmental Field. 2206-2213 - Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos:
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. 2214-2217 - Gero Dittmann, Chris Giblin, Michael Osborne, Rahul Rahul:
Automating privacy compliance in the decentralized enterprise. 2218-2223 - Rashed Doha, Mohammad Al Hasan, Sohel Anwar:
Semantic Segmentation Approaches in Crop Row Detection. 2224-2230 - Bradley Eck, Duygu Kabakci-Zorlu, Yan Chen, France Savard, Xiaowei Bao:
A monitoring framework for deployed machine learning models with supply chain examples. 2231-2238 - Pedro Fidalgo, Rui J. Lopes, Christos Faloutsos:
Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks. 2239-2242 - Daniel F. Fonner, Frank P. Coyle:
Explainable Machine Learning Models for Evaluating Government Grantmaking. 2243-2248 - Hikojiro Fujiwara, Satoru Hagino:
Data Utilization in the Education Field by Local and Central Governments in Japan. 2249-2252 - Saksham Gandhi, Raj Nagesh, Subhro Das:
Learning skills adjacency representations for optimized reskilling recommendations. 2253-2258 - Gloria Hristova, Nikolay Netov:
Media Coverage and Public Perception of Distance Learning During the COVID-19 Pandemic: A Topic Modeling Approach Based on BERTopic. 2259-2264 - Shotaro Ishihara, Yasufumi Nakama:
Analysis and Estimation of News Article Reading Time with Multimodal Machine Learning. 2265-2268 - Jain Sumit, Kazune Furudo, Yuiko Kumagai, Satoshi Kamatani:
A Scalable, Geospatial Segmentation Method for Visiting Trend Analysis. 2269-2272 - Yohay Kaplan, Alex Shtoff, Tomer Shadi, Oren Somekh, Yair Koren:
Conversion-Based Dynamic-Creative-Optimization in Native Advertising. 2273-2278 - Robert Keeling, Ava Guo, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review. 2279-2284 - Elham Khabiri, Bhavna Agrawal, Joseph Lindquist, Yingjie Li, Anuradha Bhamidipaty:
Big data techniques for industrial problems with little data. 2285-2289 - Pooreumoe Kim, Jungsoo Park, Seungyoun Lee, Jungmin Kim:
Similarity-based Historical Input Selection to Predict Irregular Holiday Traffics in Real-time. 2290-2296 - Alvina Lee Hui Shan, Venky Shankararaman, Eng Lieh Ouh:
Implementation of Empath X SLA predictive tool for a Government Agency in Singapore. 2297-2304 - Kyumin Lee, Guanyi Mou, Scott Sievert:
Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection. 2305-2308 - Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong:
Comparative Reasoning for Knowledge Graph Fact Checking. 2309-2312 - Yizhi Mao, Miao Chen, Bill Dorn, Yan He:
A Hybrid Approach to Similar Stock Recommender with Taxonomy and Behavior Data. 2313-2316 - Ariana Martino, Allison Rossetto:
A Hybrid Score to Optimize Clustering Hyperparameters for Online Search Term Data. 2317-2322 - Priya Mehta, Sanat Bhargava, K. Sandeep Kumar, Ravi Kumar, Ch. Sobhan Babu:
Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax. 2323-2326 - Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji:
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder. 2327-2332 - Yuki Nishiguchi, Hiroaki Aoki, Takafumi Onishi, Julius Michaelis, Yasuhiko Kanemasa:
Recovery-Robust Inquiry to External Services from Stream Processing Application. 2333-2338 - Osamu Ochiai, Mariko Harada, Ko Hamamoto:
Earth Observation Data Utilization for SDGs Indicators: 15.4.2 and 11.3.1. 2339-2342 - Dhaval Patel, Shuxin Lin, Jayant Kalagnanam:
DSServe - Data Science using Serverless. 2343-2345 - Parag Paul, Wenlu Wang, Haiquan Chen, Wei-Shinn Ku:
Regression-based Optimizer Statistics generation based on q-error. 2346-2351 - Hiroki Sakaji, Masahiro Suzuki, Kiyoshi Izumi, Hiroyuki Mitsugi:
Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model. 2352-2355 - Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati:
Distributed Incremental Machine Learning for Big Time Series Data. 2356-2363 - Shreya Saxena, Raj Sangani, Siva Prasad, Shubham Kumar, Mihir Athale, Rohan Awhad, Vishal Vaddina:
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents. 2364-2369 - Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi:
The relationship between Twitter sentiment and mobility during the COVID-19 pandemic. 2370-2372 - Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi:
SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information. 2373-2376 - Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi:
SETN: Stock Embedding Enhanced with Textual and Network Information. 2377-2382 - Pavlo Tertychnyi, Tommy Lindström, Changling Liu, Marlon Dumas:
Detecting Group Behavior for Anti-Money Laundering With Incomplete Network Information. 2383-2388 - Hong-Linh Truong, Ngoc Nhu Trang Nguyen:
HAIVAN: a Holistic ML Analytics Infrastructure for a Variety of Radio Access Networks. 2389-2393 - Chia-Ping Tsai, Hung-Chang Hsiao, Yu-Chen Lai:
The Data Recovery Service in NoSQL. 2394-2401 - Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamaidi, Sharat Kedari, Raja Vuppalapati, Santosh Kedari, Jaya Vuppalapati:
The Future of Extreme Weather Events - Advanced Machine Learning and Artificial Intelligence for Democratic Institution preparedness and enhanced National Food Security! 2402-2410 - Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang:
Learning from Disagreement for Event Detection. 2411-2418 - Huanchen Wang, Quanjun Chen, Zheng Dong, Xuan Song, Hao Tian, Donglong Yang, Manxia Liu:
A Geomagnetic Sensor Dataset for Traffic Flow Prediction. 2419-2422 - Wenqi Wei, Mu Qiao, Eric Butler, Divyesh Jadav:
Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks. 2423-2430 - Xiang Xie, Tiantian Chen, Wilhelm Stork:
Enabling Real-Time Low-Cost Spectral Analysis on Edge Devices with Deep Neural Networks: a Robust Hybrid Approach. 2431-2436 - Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara:
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction. 2437-2440 - Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li:
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. 2441-2445 - Hui Zhang, Ju Ji, Guangchen Ruan, Neel Patel, Regan Giesting, Leah Miller, Yi Lin Yang, Jian Yang:
Digital Data Platform for Connected Clinical Trials. 2446-2453 - Jason Zhang, Krerkkiat Chusap, Wei Zhang, Chang Liu:
Improving Paper Classification Using Forecasting. 2454-2460 - Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li:
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. 2461-2466 - Ghassan Al-Sumaidaee, Anastasios Alexandridis, Rami Alkhudary, Zeljko Zilic:
A Technical Assessment of Blockchain in Healthcare with a Focus on Big Data. 2467-2472 - Bipasha Banerjee, William A. Ingram, Jian Wu, Edward A. Fox:
Applications of data analysis on scholarly long documents. 2473-2481 - Cristian Berrío-Zapata, Ester Ferreira da Silva, Mayara Costa Pinheiro, Vinicius Augusto Carvalho de Abreu, Cristiano Mendel Martins, Mario Augusto Gongora, Kelso Dunman:
The Arquive of Tatuoca Magnetic Observatory Brazil: from paper to intelligent bytes. 2482-2489 - Sarah Bratt, Alexander O. Smith:
Evolutionary Archives: The Unlikely Comparison of GenBank and Know Your Meme. 2490-2499 - Sarah A. Buchanan, Karen F. Gracy, Joshua Kitchens, Richard Marciano:
Computational Thinking Integration into Archival Educators' Networked Instruction. 2500-2506 - Adam J. Doherty, Rachel Murphy, Alexander Schieweck, Stuart Clancy, Ciara Breathnach, Tiziana Margaria:
CensusIRL: Historical census data preparation with MDD support. 2507-2514 - David Giaretta, Teófilo Redondo, Antonio G. Martinez, Maria Fuertes:
LABDRIVE, a Petabyte scalable, OAIS/ISO 16363 conformant, for scientific research organisations to preserve documents, processed data, and software. 2515-2521 - Horacio González-Vélez, Ciprian Dobre, Barbara Sánchez Solís, Giulia Antinucci, Dave Feenan, Dana Gheorghe:
Open Science and Research Data Management: A FAIR European Postgraduate Programme. 2522-2531 - Ashley Gosselar:
A Data-Driven Approach to Reparative Description at the University of Chicago. 2532-2540 - Laura Kitchings:
Teachable Insights from Working with The Mary Eliza Project for Gastronomy Students Working with Data. 2541-2545 - Nathaniel Payne:
An Intelligent Class: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records. 2546-2555 - Siqi Peng, Akihiro Yamamoto, Shinsuke Mori, Tatsuki Sekino:
Event Time Extraction from Japanese News Archives. 2556-2564 - Joel Pepper, Andrew Senin, Dom Jebbia, David E. Breen, Jane Greenberg:
Metadata Verification: A Workflow for Computational Archival Science. 2565-2571 - Pepita Raventós Pajares, Celio Hernández-Tornero, Meritxell Simon Martin:
AI and archive. Handwritten Text Recognition Applied to Patrimonial Holdings: An Example of 10 diaries written by Spanish Republican Teachers in 1932. 2572-2577 - Hsin-Ju Chan, Chin-Yuan Hsu, Ching-Chang Chien, Ji-Jie Wu, He-Lin Ku:
FeedRef2022: A Named Entity Recognition Dataset for Extracting Indicators of Compromise. 2578-2584 - Robert Andrew Chetwyn, László Erdodi:
Towards Dynamic Capture-The-Flag Training Environments For Reinforcement Learning Offensive Security Agents. 2585-2594 - Håkon Svee Eriksson, Gudmund Grov:
Towards XAI in the SOC - a user centric study of explainable alerts with SHAP and LIME. 2595-2600 - Konstantinos Fysarakis, Vasileios Mavroeidis, Manos Athanatos, George Spanoudakis, Sotiris Ioannidis:
A Blueprint for Collaborative Cybersecurity Operations Centres with Capacity for Shared Situational Awareness, Coordinated Response, and Joint Preparedness. 2601-2609 - Julie Gjerstad, Fikret Kadiric, Gudmund Grov, Espen Hammer Kjellstadli, Markus Leira Asprusten:
LADEMU: a modular & continuous approach for generating labelled APT datasets from emulations. 2610-2619 - Øyvind Anders Arntzen Toftegaard:
An Effect Analysis of ISO/IEC 27001 Certification on Technical Security of Norwegian Grid Operators. 2620-2629 - Konstantinos Touloumis, Ariadni Michalitsi-Psarrou, Anna Georgiadou, Dimitris Askounis:
A tool for assisting in the forensic investigation of cyber-security incidents. 2630-2636 - Anindya Datta, Sangaralingam Kajanan, Sinuo Chen, Dat Tran, Sourjya Sen, Ravish Ranjan:
Anovos: A Scalable Feature Engineering Library. 2637-2644 - Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski:
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. 2645-2654 - Kerk F. Kee, Alex Olshansky, Shan Xu:
An Organizational Framework of Institutional Stakeholder Engagement for Capacity to Support Big Data Science Teams Towards Cyberinfrastructure Diffusion. 2655-2659 - Carolyn McGregor, Catherine Inibhunu:
A Framework for the Design, Development, Testing and Deployment of Reliable Big Data Platforms. 2660-2666 - Jeffrey S. Saltz:
Nine Questions to Evaluate a Data Science Team's Process: Exploring a Big Data Science Team Process Evaluation Framework Via a Delphi Study. 2667-2672 - Jasmina Tacheva, Sucheta Lahiri, Jeffrey S. Saltz:
Analyzing a Data Science Online Practitioner Community: Trends and Implications for Data Science Project Management. 2673-2681 - Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Adaptive Method for Machine Learning Model Selection in Data Science Projects. 2682-2688 - Jaeyoun You, Daemin Park, Joo-yeong Song, Bongwon Suh:
A Labeling Task Design for Supporting Recent Algorithmic Needs. 2689-2698 - Haochen Zou, Kun Xiang:
A Novel Rigorous Measurement Model for Big Data Quality Characteristics. 2699-2708 - Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao:
Towards Advanced Monitoring for Scientific Workflows. 2709-2715 - Tolga Büyüktanir, Mehmet S. Aktas:
A Deep Learning-based Prefetching Approach to Enable Scalability for Data-intensive Applications. 2716-2721 - Yasemin Orhun, Yigit Istanbullu, Ismail Ari:
FineCloud: Fine-grained Cloud Service Advisory using Machine Learning. 2722-2727 - Kaiying Shan, Niranda Perera, Damitha Lenadora, Tianle Zhong, Arup Kumar Sarker, Supun Kamburugamuve, Thejaka Amíla Kanewela, Chathura Widanage, Geoffrey C. Fox:
Hybrid Cloud and HPC Approach to High-Performance Dataframes. 2728-2736 - Beinan Wang, Chunxu Tang, Rongrong Zhong, Bin Fan, Yi Wang, Jasmine Wang, Shouwei Chen, Bowen Ding, Lu Zhang:
Metadata Caching in Presto: Towards Fast Data Processing. 2737-2741 - Axel Andersson, Nadezhda Koriakina, Natasa Sladoje, Joakim Lindblad:
End-to-end Multiple Instance Learning with Gradient Accumulation. 2742-2746 - Dillon Chrimes:
Big data analytics of predicting annual US Medicare billing claims with health services. 2747-5754 - Pranav Gujarathi, Jack VanSchaik, Venkata Mani Babu Karri, Anushri Singh Rajapuri, Biju Cheriyan, Thankam P. Thyvalikakath, Sunandan Chakraborty:
Mining Latent Disease Factors from Medical Literature using Causality. 2755-2764 - Hanseok Jeong, Junetae Kim, Jueun Jeong, Han-joon Kim:
Deep Learning Models with Stratification-based Loss Function on Domain Knowledge-based Time series Data: Hypotension Prediction. 2765-2770 - Daniel F. O. Onah, Elaine L. L. Pang, Mahmoud El-Haj:
A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling. 2771-2780 - Abdulmonem I Shennat, William W. Wadge, Alex Kuo:
The Dimensional Analysis of Data Flow Programs That Include Multidimensional and User-Defined Functions. 2781-2789 - Hamid Shojaei, Vincent Augusto:
"Constructing Machine Learning models for Orthodontic Treatment Planning: a comparison of different methods". 2790-2799 - Garima Thakur, Sitanshu Sekhar Sahu, Ying Xie, Sumit Chakravarty:
Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning. 2800-2803 - M. L. Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas Jurovich, Saitheeraj Thatigotla, Jidapa Thadajarassiri, Elke A. Rundensteiner:
Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. 2804-2813 - Shu-Lin Wang, I-En Chiang, Alex Kuo, Jing-Ya Lin:
Mobile Emotion Healthcare System Applying Sentiment analysis. 2814-2820 - Qiang Wei, Xu Zuo, Omer Anjum, Yan Hu, Ryan Denlinger, Elmer V. Bernstam, Martin J. Citardi, Hua Xu:
ClinicalLayoutLM: A Pre-trained Multi-modal Model for Understanding Scanned Document in Electronic Health Records. 2821-2827 - Oluwabunmi Ariyo, Jianjun Zheng:
A Study On Security and Privacy Risks of Self-Disclosure On Social Networking Sites During COVID-19 Pandemic. 2828-2832 - Ayda Demir, Luis Felipe Gutiérrez, Akbar Siami Namin, Stephen B. Bayne:
Solar Irradiance Prediction Using Transformer-based Machine Learning Models. 2833-2840 - Bimal Karki, Faranak Abri, Akbar Siami Namin, Keith S. Jones:
Using Transformers for Identification of Persuasion Principles in Phishing Emails. 2841-2848 - Pooja Krishan, Faranak Abri:
Classifying Perceived Emotions based on Polarity of Arousal and Valence from Sound Events. 2849-2856 - Hong Lin, Shicheng Wan, Wensheng Gan, Jiahui Chen, Han-Chieh Chao:
Metaverse in Education: Vision, Opportunities, and Challenges. 2857-2866 - Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Public Transport and Air Pollution Analysis. 2867-2874 - Do-Van Nguyen, Anh-Khoa Tran, Koji Zettsu:
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data. 2875-2881 - Antonio Iyda Paganelli, André Sarmento, Adriano Branco, Markus Endler, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Assessing Energy Consumption in Data Acquisition from Smart Wearable Sensors in IoT-Based Health Applications. 2882-2885 - Rishav Sen, Toan Tran, Seyedmehdi Khaleghian, Philip Pugliese, Mina Sartipi, Himanshu Neema, Abhishek Dubey:
BTE-Sim: Fast Simulation Environment For Public Transportation. 2886-2894 - Toan V. Tran, Seyedmehdi Khaleghian, Junxuan Zhao, Mina Sartipi:
SIMCal: A High-Performance Toolkit For Calibrating Traffic Simulation. 2895-2902 - Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Knowledge Graphs of the QAnon Twitter Network. 2903-2912 - Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson:
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. 2913-2921 - Fangfei Lan, Sourabh Palande, Michael Young, Bei Wang:
Uncertainty Visualization for Graph Coarsening. 2922-2931 - Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong:
A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. 2932-2939 - Ricardo A. Calix, J. J. Ben-Joseph, Nina Lopatina, Ryan Ashley, Mona Gogia, George Sieniawski, Andrea Brennen:
Saisiyat Is Where It Is At! Insights Into Backdoors And Debiasing Of Cross Lingual Transformers For Named Entity Recognition. 2940-2949 - Zefeng Chen, Jiayang Wu, Wensheng Gan, Zhenlian Qi:
Metaverse Security and Privacy: An Overview. 2950-2959 - Laurent d'Orazio, Jalil Boukhobza, Omer F. Rana, Juba Agoun, Le Gruenwald, Hervé Rannou, Elisa Bertino, Mohand-Saïd Hacid, Taofik Saïdi, Georges Bossert, Van Long Nguyen Huu, Dimitri Tombroff, Makoto Onizuka:
The Lannion report on Big Data and Security Monitoring Research. 2960-2969 - Radovan Haluska, Jan Brabec, Tomás Komárek:
Benchmark of Data Preprocessing Methods for Imbalanced Classification. 2970-2979 - Chansu Han, Akira Tanaka, Takeshi Takahashi:
Darknet Analysis-Based Early Detection Framework for Malware Activity: Issue and Potential Extension. 2980-2988 - Alexis J. Jackson, Krishnendu Ghosh:
Unsupervised Learning Approaches for Construction of Malware Families. 2989-2996 - Ismael Villanueva-Miranda, Monika Akbar:
Detecting Malware Activity Using Public Search Data. 2997-3006 - Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
Critical-Threat-Alert Detection using Online Machine Learning. 3007-3014 - Yuki Yada, Jiaying Feng, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana:
Dark patterns in e-commerce: a dataset and its baseline evaluations. 3015-3022 - Guru Prasad Bhandari, Andreas Lyth, Andrii Shalaginov, Tor-Morten Grønli:
Artificial Intelligence Enabled Middleware for Distributed Cyberattacks Detection in IoT-based Smart Environments. 3023-3032 - Abhimanyu Bhowmik, Madhushree Sannigrahi, Deepraj Chowdhury, Ashutosh Dhar Dwivedi, Raghava Rao Mukkamala:
DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection. 3033-3042 - Nathan Deguara, Junaid Arshad, Anum Paracha, Muhammad Ajmal Azad:
Threat Miner - A Text Analysis Engine for Threat Identification Using Dark Web Data. 3043-3052 - Damilola Oladimeji, Bing Zhou:
Forensic Analysis of Amazon Alexa Echo Dot 4th Generation. 3053-3062 - Jiabao Qiu, Nihar Hegde, Melody Moh, Teng-Sheng Moh:
Investigating User Information and Social Media Features in Cyberbullying Detection. 3063-3070 - Giuseppe Raffa, Daniele Sgandurra, Daniel O'Keeffe:
Evaluating Anti-Virus Effectiveness in Linux. 3071-3080 - Jonas Schnepf, Paula Vetter, Tarik Temel, Bernd Scheuermann, Lars Schmidt-Thieme:
On the Potential of Using ERP Business and System Data for Fraud Detection. 3081-3091 - Richard Searle, Prabhanjan Gururaj, Anubhav Gupta, Kiran Kannur:
Secure Implementation of Artificial Intelligence Applications for Anti-Money Laundering using Confidential Computing. 3092-3098 - Inna Skarga-Bandurova, Igor Kotsiuba, Tetiana Biloborodova:
Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations. 3099-3106 - Mingjun Gu, Wenqian Cui, Xiangling Fu:
BioSentEval: An Evaluation Toolkit for Chinese Medical Sentence Representation. 3107-3111 - Zibo Ma, Bo Zhang, Zheng Zhang, Wendong Wang, Yue Mi, Haiwen Huang, Jingyun Wu:
ACL-Net: Adaptive and Collaborative Learning Network for Multi-Site Prostate MRI Segmentation. 3112-3117 - Duong Hong Nguyen, Iwao Fujino:
Improving the performance of disease detection from chest X-ray images using deep learning. 3118-3123 - Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott:
Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. 3124-3130 - Tianren Yang, Mai A. Al-Duailij, Serdar Bozdag, Fahad Saeed:
Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks. 3131-3138 - Jiaxi Chen, Aekyeung Moon, Seung Woo Son:
Towards Guaranteeing Error Bound in DCT-based Lossy Compression. 3139-3145 - Max H. Faykus, Bradley Selee, Jon C. Calhoun, Melissa C. Smith:
Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems. 3146-3152 - Megan Hickman Fulp, Dakota Fulp, Jon C. Calhoun:
Estimating Potential Error in Sampling Interpolation. 3153-3162 - Taku Moriyama, Mio Hosoe, Masashi Kuwano, Yuka Minamino:
Extraction of Power Consumption Patterns using Non-negative Tucker Decomposition. 3163-3171 - Ruiwen Shan, Jon C. Calhoun:
Exploring Data Corruption Inside SZ. 3172-3178 - Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Søren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muñiz-Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis:
Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. 3179-3185 - Patrick Cato:
A Simple Approach to Optimize S3 Object Gateways for Massive Numbers of Small File Writes. 3186-3190 - Inwon Kang, Aparna Gupta, Oshani Seneviratne:
Blockchain Interoperability Landscape. 3191-3200 - Andrew Kirillov, Abrar Rahman, Ayush Aggarwal:
Rental NFT Protocol With Advanced Rewards Splitting. 3201-3206 - Jieying Liu, Guojun Han, Hanxu Hou:
Some Results on Optimal Octonion-Field Locally Repairable Codes of Distance 3 and 4. 3207-3214 - Zhenwei Xiao, Hui Li, Han Wang, Guoliang Yang, Qiongwei Ye, Shusheng Zou, Ping Lu, Qi Lyu:
Optimizing Parallel Proof of Vote Consensus Based on Mimic Security in Consortium Blockchains. 3215-3224 - Yao Yao, Hui Li, Xin Yang, Yiwang Le:
An Improved Vulnerability Detection System of Smart Contracts Based on Symbolic Execution. 3225-3234 - Lu Zhong, Guojun Han, Hanxu Hou, Qinda Hai:
Optimizing Repair-Cost of Locally Repairable Codes for Hot Data in Cluster Storage Systems. 3235-3241 - Lin Zou, Hanxu Hou, Xiaoan Zhou:
Systematic MDS Array Codes Correcting a Single Criss-Cross Error with Lower Update Complexity. 3242-3249 - Masanori Fujita, Ayato Kitadai, Koichi Sumikura, Nariaki Nishino:
Toward the Utilization of Artificial Intelligence in Life Sciences: A Voluntary Medical Data Provisioning Model. 3250-3257 - Yutaka Ishibashi, Eizo Akiyama:
Predicting the Impact of Shared Autonomous Vehicles on Tokyo Transportation Using MATSim. 3258-3265 - Wataru Ishida, Yusuke Iwase:
Compatibility of efficiency and stability in priority-augmented object allocation problems with weak priorities. 3266-3272 - Yoichi Izunaga, Satoshi Takahashi, Naoki Watanabe:
A Subject Experiment of an Approximate DGS Algorithm: Price Increment, Allocative Efficiency, and Seller's Revenue. 3273-3280 - Kengo Kurosaka, Naoki Onodera:
Land Consolidation by Plot Exchange. 3281-3287 - Toshihiko Nanba, Kazuhito Ogawa, Naoki Watanabe, Teruaki Hayashi, Hiroki Sakaji:
A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment. 3288-3294 - Kazuhito Ogawa, Naoki Watanabe:
Feedback Information on Cumulative Payoff in a Bandit Experiment: Meaningful Learning in Weighted Voting. 3295-3299 - Yumi Watahiki, Hiroyasu Ando, Isamu Takahara:
Network formation of next generation electric power and mobility in rural area. 3300-3307 - Dilan Bakir, Mehmet S. Aktas:
A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset. 3308-3314 - Jason B. Gillette, Sayed Khushal Shah, Zeenat Tariq, Shabbab Ali Algamdi:
Data protections for minors with named entity recognition. 3315-3323 - Josh Levy, Fusheng Wei, Jingchao Yang, Adam Dabrowski:
An Application of Object Detection in Contract Analysis. 3324-3328 - Jui-Ching Tsou, Kai-Yu Hsieh, Chen-Hua Huang, Yu-An Shih, Han-Cheng Yu, Yao-Chung Fan:
Extracting Crime Prosecution Elements based on Neural Machine Reading Comprehension Model. 3329-3335 - Fusheng Wei, Jingchao Yang, Qiang Mao, Han Qin, Adam Dabrowski:
An Empirical Comparison of DistilBERT, Longformer and Logistic Regression for Predictive Coding. 3336-3340 - Maroua Bahri:
Effective Weighted k-Nearest Neighbors for Dynamic Data Streams. 3341-3347 - Nabil Belacel, René Richard, Zhicheng Max Xu:
An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data. 3348-3357 - Martin Khannouz, Tristan Glatard:
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest. 3358-3363 - Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer:
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. 3364-3373 - Takdir, Hiroyuki Kitagawa, Toshiyuki Amagasa:
Region-based Sub-Snapshot (RegSnap): Enhanced Fault Tolerance in Distributed Stream Processing with Partial Snapshot. 3374-3382 - Shivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, Elizabeth Daly:
Prequential Model Selection for Time Series Forecasting based on Saliency Maps. 3383-3392 - Folami Alamudun, Jacob D. Hinkle, Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Hong-Jun Yoon:
Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification. 3393-3397 - Melissa R. Allen-Dumas, Sangkeun Lee, Supriya Chinthavali:
Analysis of Correlation between Cold Weather Meteorological Variables and Electricity Outages. 3398-3401 - Rick Archibald, Mark R. Cianciosa, Cornwall Lau:
Improving Predictions Under Uncertainty of Material Plasma Device Operations. 3402-3407 - Mark R. Cianciosa, Richard Archibald, Wael R. Elwasif, Ana Gainaru, Jin Myung Park, Ross Whitfield:
Adaptive Generation of Training Data for ML Reduced Model Creation. 3408-3416 - António Correia, Siân Lindley:
Collaboration in relation to Human-AI Systems: Status, Trends, and Impact. 3417-3422 - Hasan M. Jamil, Lan Li, Amin Mirkouei:
MatFlow: A System for Knowledge-based Novel Materials Design using Machine Learning. 3423-3431 - Ketan Maheshwari, Sean R. Wilkinson, Alex May, Tyler J. Skluzacek, Olga A. Kuchar, Rafael Ferreira da Silva:
Pseudonymization at Scale: OLCF's Summit Usage Data Case Study. 3432-3440 - Byung H. Park, Sangkeun Lee, Özgür Özmen, Mohit Kumar, Merry Ward, Jonathan R. Nebeker:
Real-time Multi-granular Analytics Framework for HIT Systems. 3441-3446 - Akihiro Tanabe, Yasuko Matsubara, Yasushi Sakurai:
Partial Discharge Detection for Underground Transmission Lines Using Nonnegative Matrix Factorization. 3447-3454 - Yupei Zhang, Shuangshuang Wei, Yifei Wang, Yunan Xu, Yuxin Li, Xuequn Shang:
A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification. 3455-3461 - Shubhi Asthana, Ruchi Mahindru:
Integrated Data Mapping Engine (DaME) for Financial Services. 3462-3471 - Hannah Béchara, Ran Zhang, Shuzhou Yuan, Slava Jankin:
Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code. 3472-3477 - Andrea Belz, Alexandra Graddy-Reed, F. N. U. Shweta, Aleksandar Giga, Shivesh Meenakshi Murali:
Patentopia: A multi-stage patent extraction platform with disambiguation for certain semantic challenges. 3478-3485 - Matthew Caron:
Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. 3486-3495 - Carmina Fjellström:
Long Short-Term Memory Neural Network for Financial Time Series. 3496-3504 - Xurui Li, Kaiyuan Liu, Rui Zhu, Yangyang Kang, Changlong Sun, Kaisong Song, Xiaozhong Liu:
Hierarchical Multi-task Learning for Enterprise Risk Detection from Financial Documents. 3505-3508 - Quanzhi Li, Yang Chao, Dong Li, Yao Lu, Chi Zhang:
Event Detection from Social Media Stream: Methods, Datasets and Opportunities. 3509-3516 - Yingchi Liu, Quanzhi Li, Xiaozhong Liu:
Rating Patent by Exploiting Semantic and Novelty Information. 3517-3523 - Priya Mehta, Sandeep Kumar, Ravi Kumar, Ch. Sobhan Babu:
Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud. 3524-3531 - Stefan Pasch, Daniel Ehnes:
NLP for Responsible Finance: Fine-Tuning Transformer-Based Models for ESG. 3532-3536 - Iromie K. Samarasekara, Oshan K. Mendis, Sapumal Ahangama, Ajantha S. Atukorale:
Dynamic Stop-Loss Approach for Short Term Trades using Deep Learning. 3537-3546 - Naman Srivastava, Omkar Gowda, Shreyas Bulbule, Siddharth Bhandari, Animesh Chaturvedi:
Bitcoin Evolution Analytics: Twitter Sentiments to Predict Price Change as Bearish or Bullish. 3547-3556 - Hiroshi Sugeno, Aki-Hiro Sato:
Relationship between environmental management efforts and corporate performance. 3557-3566 - Senyuan Zheng, Vincent C. S. Lee, Zhaolin Guan:
SFPAD: Sentiment-driven Firm Pricing Anomaly Detection Algorithm and Application. 3567-3576 - Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu:
Twitter Bot Identification: An Anomaly Detection Approach. 3577-3585 - Mohamed Alae-Eddine Eladlani, Said Si Kaddour, Larbi Boubchir, Boubaker Daachi:
On the Use of Convolutional Neural Networks for Palm Vein Recognition. 3586-3592 - Shun-Wen Hsiao, Cheng-Yuan Sun:
Attention-Aware Multi-modal RNN for Deception Detection. 3593-3596 - Yichen Jiang, Michael D. Porter:
Simulating Fake News Dissemination on Twitter with Multivariate Hawkes Processes. 3597-3606 - Jamshed Kaikaus, Jessen L. Hobson, Robert J. Brunner:
Truth or Fiction: Multimodal Learning Applied to Earnings Calls. 3607-3612 - Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Bastian Leibe, Anke Schmeink:
Radiopaths: Deep Multimodal Analysis on Chest Radiographs. 3613-3621 - Callie C. Liao, Duoduo Liao, Jesse Guessford:
Multimodal Lyrics-Rhythm Matching. 3622-3630 - Injin Paek, Nayoung Choi, Seongjin Ha, Yuheun Kim, Min Song:
SQ2SV: Sequential Queries to Sequential Videos retrieval. 3631-3634 - Thomas Pouplin, Hughes Perreault, Benoit Debaque, Marc-Antoine Drouin, Nicolas Duclos-Hindie, Sébastien Roy:
Multimodal Deep Homography Estimation Using a Domain Adaptation Generative Adversarial Network. 3635-3641 - Xianglong Xiao, Hongguang Xu, Ke Xu:
EBEM: An Enhanced Bi-encoder Model for Word Sense Disambiguation. 3642-3650 - Yuan An, Jane Greenberg, Xiaohua Hu, Alexander Kalinowski, Xiao Fang, Xintong Zhao, Scott McClellan, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila, Semion Saikin, Corey A. Harper, Ron Daniel Jr.:
Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs). 3651-3658 - Miyu Fujii, David Taingngin, Keiichiro Yamamura, Nozomi Hata, Hiroki Kai, Ryuji Noda, Hiroki Ishikura, Tatsuru Higurashi, Katsuki Fujisawa:
Development and Evaluation of Embedding Methods for Graphs with Multi Attributes. 3659-3667 - Ted Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi:
A Stochastic Geo-spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies. 3668-3674 - Sukhwan Jung, Aviv Segev:
Optimizing the Descendant-Aware Clustering Parameters. 3675-3683 - Phuc Nguyen, Hideaki Takeda:
Wikidata-lite for Knowledge Extraction and Exploration. 3684-3686 - Runyu Ni, Hiroki Shibata, Yasufumi Takama:
Learning Framework of Entity and Entity Type Composition Representation for Knowledge Graph Completion. 3687-3691 - Kara Schatz, Daniel Korn, Alexander Tropsha, Rada Chirkova:
Workflow for Domain- and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG. 3692-3701 - Yuanzhuo Li:
Ripl: Document-Level Event Argument Extraction via Role-aware Interactive Pointer Labeling Network. 3702-3707 - Min Zhang, Song Peng, Hao Yang, Yanqing Zhao, Xiaosong Qiao, Junhao Zhu, Shimin Tao, Ying Qin, Yanfei Jiang:
EntityRank: Unsupervised Mining of Bilingual Named Entity Pairs from Parallel Corpora for Neural Machine Translation. 3708-3713 - Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao:
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. 3714-3719 - Roberto Corizzo, Terry Slenn:
Distributed Node Classification with Graph Attention Networks. 3720-3725 - Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang:
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests. 3726-3734 - Wei Dai, Daniel Berleant:
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets. 3735-3744 - Manele Aït Habouche, Mickaël Kerboeuf, Goulven Guillou, Jean-Philippe Babau:
FaST: An Efficient Framework For Visualizing Large-Scale Time Series. 3745-3754 - Chien-Kang Huang, Guojhen Liou:
Text Spotting in Natural Scenes Based on Feature Pyramid Neural Network. 3755-3762 - Jing Li, Pengbo Lv, Huijun Li, Wanghu Chen:
Outlier Detection Based on Stacked Autoencoder and Gaussian Mixture Model. 3763-3769 - Yan Liang, Christan Grant:
TAED: Topic-Aware Event Detection. 3770-3779 - Mehnaz Tabassum Mahin, Bo-Chun Wang, Kamini Jagtiani, Michael Carey, Keshav Murthy:
CH3: A Mixed Workload Benchmark for Scalable NoSQL. 3780-3789 - Varun Mannam:
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method. 3790-3795 - Bing Ni, Brandon Wu:
Usage-Based Decision Tree for Telco Churn Prediction. 3796-3805 - Simon Frederic Dietlmeier, Rob Jago Floetgen, Julius Bock, Florian Urmetzer:
IoT for Rail Transportation: The Case of Railigent. 3806-3813 - John M. Easton:
Digitalization and the Transport Industry - Are we Ready? 3814-3820 - Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila:
Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach. 3821-3830 - Ivens Portugal, Paulo Alencar, Donald D. Cowan:
A Graph-based Analysis Approach to Cluster Lifetime Dynamics. 3831-3837 - Joseph D. Preece, Christopher Morris, John M. Easton:
Towards STUB 2.0: Using Graph-Based World States in Hyperledger Besu to Facilitate Distributed Transport Ticketing. 3838-3844 - Namsik Yoon, Innjun Choi, Sung Woo Kang:
Analysis of route efficiency in city bus transportation vulnerable areas. 3845-3853 - Aayush Tewari, Yanbo Pang, Yoshihide Sekimoto:
Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation. 3854-3863 - Georgios Drakopoulos, Phivos Mylonas:
A Genetic Algorithm For Boolean Semiring Matrix Factorization With Applications To Graph Mining. 3864-3870 - Andreas Kanavos, Gerasimos Vonitsanos, Phivos Mylonas:
Clustering High-Dimensional Social Media Datasets sutilizing Graph Mining. 3871-3880 - Christos N. Karras, Aristeidis Karras, Dimitrios Tsolis, Markos Avlonitis, Spyros Sioutas:
A Hybrid Ensemble Deep Learning Approach for Emotion Classification. 3881-3890 - Konstantinos Lazaros, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. 3891-3894 - M. M. Mahabubur Rahman, Jelena Tesic:
Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for Large Descriptor Databases. 3895-3902 - Ali Sekmen, Bahadir Bilgin:
Manifold Curvature Estimation for Neural Networks. 3903-3908 - Jing Ao, Rada Chirkova:
KGIQ: Scalable Translation of User-Specified Examples into Knowledge-Graph Queries. 3909-3918 - Uzair Javaid, Zhen Li, Muhammad Naveed Aman, Dongxu Shao, Kevin Yee, Biplab Sikdar:
Blockchain based Secure Group Data Collaboration in Cloud with Differentially Private Synthetic Data and Trusted Execution Environment. 3919-3927 - Hao Jiang, Jingying Zhou, Allan Stewart, Haixun Wang:
A Short Survey on the User Cold Start Problem in Recommender Systems: Metadata and Meta-Learning Methods. 3928-3934 - Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Where did you tweet from? Inferring the origin locations of tweets based on contextual information. 3935-3944 - Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. 3945-3951 - Glaucia Melo dos Santos, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Understanding Levels of Automation in Human-Machine Collaboration. 3952-3958 - Anifat M. Olawoyin, Carson K. Leung:
Preserving Privacy Integration and Mining for Big Temporal Co-occurrence Patterns. 3959-3968 - Prince Paulraj, Elijah Hall, Ana Armenta, Mark Austin:
Posteriori Trust: Behavior Driven Trust on a Network Graph at Scale. 3969-3974 - Adel Ardalan, Derek Paulsen, Amanpreet Singh Saini, Walter Cai, AnHai Doan:
Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization. 3975-3981 - Bijoly Saha Bhattacharya, Biswajit Mandal, Arindam Biswas, Malay Bhattacharyya:
Improving Character Recognition by the Crowd Workers via Corrective Feedback. 3982-3985 - Katia Bourahmoune, Karlos Ishac, Marc Carmichael, Toshiyuki Amagasa:
Owro: A Novel Robot For Sitting Posture Training Based On Adaptive Human Robot Interaction. 3986-3991 - Ryuya Itano, Tomoya Nohara, Takahiro Koita:
Crowd-Aided Anomaly Detection in Surveillance Videos. 3992-3994 - Tomoya Kanda, Hiroyoshi Ito, Atsuyuki Morishima:
Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment. 3995-4001 - Nailcan Kara, Yagiz Levent Gume, Umit Tigrak, Gokce Ezeroglu, Serdar Mola, Omer Burak Akgun, Arzucan Özgür:
A SHAP-based Active Learning Approach for Creating High-Quality Training Data. 4002-4008 - Seungun Kim, Masaki Matsubara, Atsuyuki Morishima:
Image Geolocation by Non-Expert Crowd Workers with an Expert Strategy. 4009-4013 - Kristina L. Kupferschmidt, Joshua August Gus Skorburg, Graham W. Taylor:
DelphAI: A human-centered approach to time-series forecasting. 4014-4020 - Xiao Liu, Alan F. Smeaton, Alessandra Mileo:
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision. 4021-4027 - Kaname Muto, Satoshi Oyama, Itsuki Noda:
Explainable Recommendation Using Knowledge Graphs and Random Walks. 4028-4023 - Kazumu Nakahira, Shun Kuroiwa, Takahiro Koita:
Multispeaker Identification System using Crowdsourcing-based Method. 4033-4034 - Hiroaki Tanaka, Yuuma Jitsunari, Wataru Yamada, Keiichi Ochiai, Shoko Wakamiya, Eiji Aramaki:
Graph Neural Network Tells Us Who is the Communication Enhancer. 4035-4039 - Yunyi Xiao, Yu Yamashita, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms. 4040-4048 - Ryo Yanagisawa, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
PostMe: Unsupervised Dynamic Microtask Posting For Efficient and Reliable Crowdsourcing. 4049-4054 - Fares Belkhiria, Jian-Yun Nie, Catherine Paquet, Raja Sengupta, Antonia Gieschen, Byomkesh Talukder, Shawn Brown, Laurette Dubé:
Using Big Data and Machine Learning for Multilayered Surveillance for Healthy Food Environment and Diet. 4055-4064 - Gjorgjina Cenikj, Gasper Petelin, Barbara Korousic-Seljak, Tome Eftimov:
SciFoodNER: Food Named Entity Recognition for Scientific Text. 4065-4073 - Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. 4074-4083 - Gavin Long, John Harvey, Gavin Smith, Georgiana Nica-Avram, Gregor Engelmann, James Goulding:
Privacy-preserving & machine-learned catchment models for national dietary surveillance via digital footprint data. 4084-4087 - Cameron McRae, Jian-Yun Nie, Laurette Dubé:
Heterogeneity in feature importance and prediction performance for sales at the market and store levels: the case of branded yogurt products in Quebec. 4088-4096 - Viktorija Mijalcheva, Ana Davcheva, Sasho Gramatikov, Milos Jovanovik, Dimitar Trajanov, Riste Stojanov:
Learning Robust Food Ontology Alignment. 4097-4104 - Georgiana Nica-Avram, Vanja Ljevar, John Harvey, Ines Branco-Illodo, Samanthika Gallage, James Goulding:
Ill-fated interactions: modeling complaints on a food waste fighting platform. 4105-4109 - Andrew Dybka, Dominic Kocjan, Samuel A. Ajila:
A Semisupervised Approach to Predicting a Twitch Streamer's Growth based on the Game Streamed. 4110-4119 - Michael Fan, Omar Imran, Arka Singh, Samuel A. Ajila:
Using CNN-LSTM Model for Weather Forecasting. 4120-4125 - Makoto Fujii:
Comparison of Consensus Building Processes by Different Reach Patterns on Opinion Dynamics. 4126-4132 - Yunosuke Hori:
Influence of a leader and in-group pressure in opinion dynamics model. 4133-4139 - Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis:
DVM-CAR: A Large-Scale Automotive Dataset for Visual Marketing Research and Applications. 4140-4147 - Abhishek Kumar, Aviv Segev:
Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection. 4148-4156 - Takamichi Toda, Daisuke Moriwaki, Kazuhiro Ota:
Aggregate Learning for Mixed Frequency Data. 4157-4165 - Xin Yang, Tetsuya Tsuboi, Keisuke Kimura, Keitarou Hangai, Maiko Shigeno:
Restaurant Sales Forecasting with Feature Interaction-learning Mechanism-based Neural Network Model. 4166-4172 - Ge Cui, Wei Wang, Hao Zhang:
MS2A: A Multi-Scale Spatial Aggregation Framework for Visual Place Recognition. 4173-4180 - Shenlu Liu, Kangliang Liu:
ADIU:An Antiquarian Document Image Unwarping Dataset. 4181-4186 - Tianlong Ma, Xiangcheng Du, Yanlong Wang, Xiutao Cui:
Scene Text Recognition with Heuristic Local Attention. 4187-4194 - Ziheng Sun, Haochen Ye, Kangliang Liu:
EFD: A New Benchmark for Load Identification and Energy Disaggregation. 4195-4200 - Yuewang Xu, Li Zhao, Shaoli Cao, Shijie Feng:
Dual Priors Network for RGB-D Salient Object Detection. 4201-4209 - Zian Ye, Chaoqun Hong, Zhiqiang Zeng, Weiwei Zhuang:
Self-Supervised Person Re-Identification with Channel-Wise Transformer. 4210-4217 - Yupei Zhang, Yunan Xu, Shuangshuang Wei, Yifei Wang, Yuxin Li, Xuequn Shang:
Personalized Federated Contrastive Learning. 4218-4225 - Huda Ali Alatwi, Charles Morisset:
Threat Modeling for Machine Learning-Based Network Intrusion Detection Systems. 4226-4235 - Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam:
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector. 4236-4245 - Caitlin Brown, Charles Morisset:
Simple and Efficient Identification of Personally Identifiable Information on a Public Website. 4246-4255 - Yao Chen, Yijie Gui, Hong Lin, Wensheng Gan, Yongdong Wu:
Federated Learning Attacks and Defenses: A Survey. 4256-4265 - Chiao-Cheng Huang, Pei-Yu Huang, Ying-Ren Kuo, Guo-Wei Wong, Yi-Ting Huang, Yeali S. Sun, Meng Chang Chen:
Building Cybersecurity Ontology for Understanding and Reasoning Adversary Tactics and Techniques. 4266-4274 - Mary Isangediok, Kelum Gajamannage:
Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes. 4275-4284 - Max Landauer, Florian Skopik, Georg Höld, Markus Wurzenberger:
A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing. 4285-4294 - Derek Lin:
MATE: Summarizing Alerts to Interpretable Outcomes with MITRE ATT&CK. 4295-4302 - Thamizhiniyan Pugazhenthi, Huizhi Liang:
Improving Conversational Recommender Systems via Knowledge Graph-based Semantic Fusion with Historical Interaction Data. 4303-4312 - Yue Su, Botao Peng, Xiaodong Li:
Fast Illegal Webpage Detection Algorithm Based on Massive Domain Name Resolution Records. 4313-4322 - Yu-Hsuan Wu, Sheng-Wei Huang, Wei-Yi Chung, Chen-Chia Yu, Jheng-Long Wu:
Factor Detection Task of Cyberbullying Using the Deep Learning Model. 4323-4329 - Wenshan Zhang, Xi Zhang:
Cross-Lingual Propaganda Detection. 4330-4336 - Sikder Tahsin Al-Amin, Robin Varghese, David Lloyd, Maria A. Gonzalez-Gonzalez, Mario I. Romero-Ortega, Carlos Ordonez:
Discovering Similar Spike Patterns in High Dimensional Biomedical Signals. 4337-4345 - Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough:
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. 4346-4355 - Wenbin Gan, Minh-Son Dao, Koji Zettsu:
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. 4356-4364 - Xinchen Hao, Renhe Jiang, Jiewen Deng, Xuan Song:
The Impact of COVID-19 on Human Mobility: A Case Study on New York. 4365-4374 - Atif Khan, Conor Lawless, Amy E. Vincent, Satish Pilla, Sushanth Ramesh, A. Stephen McGough:
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data. 4375-4384 - Michelle YoungJin Kim, Junghwan Kim, Bryan Woosung Kim, Kristen Marie Johnson, Jee-In Kim:
ASDCLAIMS: Twitter Dataset of Claims on Autism Spectrum Disorder. 4385-4389 - Ron Kremer, Syed Mohib Raza, Fabiola Eto, John Casement, Christian Atallah, Sarah Finer, Dennis Lendrem, Michael Barnes, Nick J. Reynolds, Paolo Missier:
Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations. 4390-4399 - Francesco Mercaldo, Fabio Martinelli, Antonella Santone, Mario Cesarelli:
Blood Cells Counting and Localisation through Deep Learning Object Detection. 4400-4409 - Menglin Niu, Larbi Boubchir, Boubaker Daachi:
On the Use of Conventional Neural Networks for COVID-19 Detection in CT-Scan Images: A Comparative Study and Performance Analysis. 4410-4415 - Carlos Ordonez, Ian Fund, Ladjel Bellatreche:
Comparing Association Rules and Deep Neural Networks for Heart Disease Prediction. 4416-4424 - Daniele Perlo, Luca Berton, Alessia Delpiano, Francesca Menchini, Stefano Tibaldi, Marco Grosso, Paolo Fonio:
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification. 4425-4433 - Yoriyuki Yamagata, Shunki Takami, Keisuke Yamazaki, Tomoki Nakaya, Masaki Onishi:
Individual-based epidemiological model of COVID19 using location data. 4434-4442 - Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Irene Manotas, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos:
Natural Language Interface for Process Mining Queries in Healthcare. 4443-4452 - Tianyi Zhang, Shirui Zhang, Ziwei Chen, Yoshua Bengio, Dianbo Liu:
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records. 4453-4462 - Ayoub Bouhatous, Ladjel Bellatreche, El Hassan Abdelwahed, Carlos Ordonez:
The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses. 4463-4472 - Florian Chauvet, Ladjel Bellatreche, Carlos Augusto Santos Silva:
AI Approaches for Electricity Price Forecasting in Stable/Unstable Markets: EU Improvement Project. 4473-4482 - Wanghu Chen, Pengbo Lv, Jing Li, Xiao Ma:
Pavement Condition Detection Method Based on Time-Frequency Features and Capsule Neural Network. 4483-4490 - Yi-Hao Hsiao, Chia-Yi Chuang, Megn-Chi Huang, Chia-Lee Yang, Jyh-Horng Wu:
Using Contextual Text Mining and Ontology Methods to Establish a Novel Technology Trend and Associative Analysis Framework for Sustainable Energy Development in Taiwan. 4491-4494 - Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw:
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. 4495-4502 - Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw:
A systematic literature review on machine learning for electricity market agent-based models. 4503-4512 - Katherine A. Kiernan, Hao Wu, Raymond Mugno, Yulei Pang:
Application of Time Series Analysis Methods to Assess the impact of COVID-19 on Carbon Dioxide Emission Reduction in Connecticut. 4513-4519 - Min Gyeong Kim, Kyu Sung Kim, Kun Chang Lee:
Analyzing the Effects of Topics Underlying Companies' Financial Disclosures about Risk Factors on Prediction of ESG Risk Ratings: Emphasis on BERTopic. 4520-4527 - Emily R. Lines, Matt Allen, Carlos Cabo, Kim Calders, Amandine Debus, Stuart W. D. Grieve, Milto Miltiadou, Adam Noach, Harry J. F. Owen, Stefano Puliti:
AI applications in forest monitoring need remote sensing benchmark datasets. 4528-4533 - Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Smart Grid monitoring through Deep Learning for Image-based Automatic Dial Meter Reading. 4534-4542 - Du Nguyen, Vung Pham:
RaCAViz: Interactive Visualizations for Rapid Carbon Assessment. 4543-4550 - Matthew L. Thomas, Gavin Shaddick, David Topping, Karyn Morrissey, Thomas J. Brannan, Mike Diessner, Ruth C. E. Bowyer, Stefan Siegert, Hugh Coe, James Evans, Fernando Benitez-Paez, James V. Zidek:
A Data Integration Approach to Estimating Personal Exposures to Air Pollution. 4551-4559 - Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén:
Residual value prediction using deep learning. 4560-4567 - Emrullah Gultekin, Mehmet S. Aktas:
A Business Workflow Architecture for Predictive Maintenance using Real-Time Anomaly Prediction On Streaming IoT Data. 4568-4575 - Aekyeung Moon, Seung Woo Son, Hyson Kim, Minjun Kim:
Lossy Predictive Models for Accurate Classification Algorithms. 4576-4582 - Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. 4583-4588 - Amal Tawakuli, Thomas Engel:
Towards Normalizing The Design Phase of Data Preprocessing Pipelines For IoT Data. 4589-4594 - Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. 4595-4600 - Valerio Bellandi, Stefano Siccardi:
Data Fusion and Graph Analysis in Fraud Transaction Detection: walkthrough of a case study. 4601-4605 - Lilith Orion Hafner, Chase Holdener, Nicole Eikmeier:
Functional Ball Dropping: A superfast hypergraph generation scheme. 4606-4615 - Yan Hong, Munehiro Fukuda:
Pipelining Graph Construction and Agent-based Computation over Distributed Memory. 4616-4624 - Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
Node Context Selection in Transformer-Based Graph Representation Learning Models. 4625-4634 - Lifan Yu, Nadya Abdel Madjid, Djellel Eddine Difallah:
CrunchQA: A Synthetic Dataset for Question Answering over Crunchbase Knowledge Graph. 4635-4641 - Chiara Accinelli, Barbara Catania, Giovanna Guerrini:
Nondiscriminating Dropout Prediction beyond Algorithmic Fairness: Ensuring Coverage in Preprocessing Pipelines. 4642-4648 - Federico Caviggioli, Alessandra Colombelli, Chiara Ravetti:
Peers and Stars: the role of gender among coinventors. 4649-4655 - Wanghu Chen, Jilong Yao, Yang Liu, Jing Li, Yan Sun, Chunyu Pang:
Psychological Attention-based Analytics of Multivariate Campus Behaviors of University Students. 4656-4663 - Marc Andrew Choi, Siyu Huang, Hengyuan Qi, Marco Scialanga, Emerson McMullen, Axel Sanchez Moreno, Yifei Lou, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth. 4664-4673 - Alessandra Colombelli, Greta Temporin, Francesco Serraino, Tania Cerquitelli:
Physical and mental health of university staff during the Covid-19 pandemic. 4674-4680 - Yazheng Liu, Xi Zhang, Sihong Xie:
Trade less Accuracy for Fairness and Trade-off Explanation for GNN. 4681-4690 - Christina Makri, Alexandros Karakasidis, Evaggelia Pitoura:
Towards a more Accurate and Fair SVM-based Record Linkage. 4691-4699 - Mariachiara Mecati, Andrea Adrignola, Antonio Vetrò, Marco Torchiano:
Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness. 4700-4709 - Genoveva Vargas-Solar, Tania Cerquitelli, Arianna Montorsi, Stefania Salvai, Maria Teresa Sangineti, Jérôme Darmont, Cécile Favre:
Promoting equity, diversity and inclusion: policies, strategies and future directions in higher education, research communities and business. 4710-4718 - John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman:
Systematic Discovery of Bias in Data. 4719-4725 - Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, Xiangfeng Wang:
Obtaining Dyadic Fairness by Optimal Transport. 4726-4732 - Jasmin Bogatinovski, Odej Kao, Qiao Yu, Jorge Cardoso:
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. 4733-4736 - Nathan Bosch, Serveh Shalmashi, Forough Yaghoubi, Henrik Holm, Fitsum Gaim, Amir Hossein Payberah:
Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval. 4737-4745 - Umesh Deshpande, Thanh Pham:
Storage Capacity Prediction using Population Analytics. 4746-4749 - Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Laura Shwartz:
Improving Model Performance Using Metric-Guided Data Selection Framework. 4750-4757 - Omar Javed, Prashant Singh, Giles Reger, Salman Toor:
To test, or not to test: A proactive approach for deciding complete performance test initiation. 4758-4767 - Kunal Jethuri, Satya Samudrala, Priyadarshi, Maitreya Natu:
Cognitive Metric Monitoring - Characterizing spatial-temporal behavior for anomaly detection. 4768-4776 - Runyu Jin, Paul Muench, Veera Deenadhayalan, Brian Hatfield:
AIOps Essential to Unified Resiliency Management in Data Lakehouses. 4777-4781 - William Ledbetter, John A. Springer:
Answer Comments As Reviews: Predicting Acceptance By Measuring Valence On Stack Exchange. 4782-4791 - Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. 4792-4795 - Khaznah Alshammari, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Feature Selection from Multivariate Time Series Data: A Case Study of Solar Flare Prediction. 4796-4801 - Ilias Iliopoulos, Nikolaos Kopalidis, Georgios Stavropoulos, Dimitrios Tzovaras:
National press monitoring using Natural Language Processing as an early warning signal for prediction of asylum applications flows in Europe. 4802-4806 - Yueqi Li, Ingrid Fisher:
Digital Financial Literacy, Risk Aversion, and College Students' Online Security Behavior. 4807-4811 - Yasas Senarath, Antonios Anastasopoulos, Tonya Thornton, Hemant Purohit:
PROBER: A System for Real-time Propaganda Behavior Analytics on Social Media and Web Data Streams. 4812-4815 - Ramya Tekumalla, Juan M. Banda:
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision. 4816-4823 - Ramya Tekumalla, Juan M. Banda:
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision. 4824-4832 - Eloisa Bentivegna:
Identifying Extreme Regimes in Climate-Scale Digital Twins: a Roadmap. 4833-4834 - Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein:
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. 4835-4841 - Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu:
Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels. 4842-4847 - Xinchao Liu, Kyongmin Yeo, Levente J. Klein, Youngdeok Hwang, Dzung Phan, Xiao Liu:
Optimal Sensor Placement for Atmospheric Inverse Modelling. 4848-4853 - Ganjour Mazaev, Michael Weyns, Filip Vancoillie, Guido Vaes, Femke Ongenae, Sofie Van Hoecke:
Leak localization in Water Distribution Networks By Directly Fitting the Learning Parameters of a Gaussian Naive Bayes Classifier. 4854-4859 - Michal Muszynski, Tobias Hölzer, Jonas R. M. Weiss, Paolo Fraccaro, Maciel Zortea, Thomas Brunschwiler:
Flood Event Detection from Sentinel 1 and Sentinel 2 Data: Does Land Use Matter for Performance of U-Net based Flood Segmenters? 4860-4867 - Siddesh Nageswaran, Ramachandran Muralidhar, Theodore G. van Kessel, Levente J. Klein:
Source Localization and Bayesian leak magnitude inference of sparse wireless sensor data to detect fugitive methane leak. 4868-4875 - Refaldi I. D. Putra, Tatsuya Ishikawa, Michiaki Tatsubori:
Spatiotemporal Interpolation of Ungauged River Discharge via Deep Kernel Learning. 4876-4880 - Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein:
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. 4881-4887 - Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht:
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection. 4888-4892 - Wei Zhang, Yueyue Jiang, Xiaojiang Song, Boyu Guoan, Renbo Pang:
A Multi-objective Residual TrajGRU Model for Wind Field Forecasting. 4893-4900 - Kevin Dick, Azizul Hasan, Jamil Dergham, A. J. Clarke, Hoda Khalil, Gabriel A. Wainer:
Systematic Analysis of Public Transit Data Availability in Canada. 4901-4908 - Kevin Dick, James R. Green:
Emergence of an Autonomous Vehicle Secondary Data Market for Breakthrough Applications. 4909-4915 - Chamin Nalinda Lokugam Hewage, Debra F. Laefer, Michela Bertolotto, Anh-Vu Vo, Nhien-An Le-Khac:
DACMA: Designing space ordering optimizations to scalably manage aerial images. 4916-4925 - Yuan Liang:
FAGR: Fairness-aware Group Recommendation in Event-based Social Networks. 4926-4935 - Alameen Najjar, Kyle Mede:
Trajectory-User Linking Is Easier Than You Think. 4936-4943 - Iori Sasaki, Masatoshi Arikawa, Min Lu, Ryo Sato:
Thematic Geo-Density Heatmapping for Walking Tourism Analytics using Semi-Ready GPS Trajectories. 4944-4951 - Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara:
Retrieving Top-N Weighted Spatial k-cliques. 4952-4961 - Erica Choi, Sally Smith, Ethan Young:
Comparing Shallow and Deep Graph Models for Brain Network Analysis. 4962-4967 - Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang:
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). 4968-4969 - Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). 4970-4971 - Zijian Dong, Joanna Su Xian Chong, Bing Cai Kok, Juan Helen Zhou:
COOP-DHGNN: a Framework for Joint Classification and Prediction of Brain Functional Connectivity Using Sparse Trajectory Dataset with Application to Early Dementia. 4972-4978 - Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo:
BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. 4979-4987 - Alexis Li:
BrainMixup: Data Augmentation for GNN-based Functional Brain Network Analysis. 4988-4992 - Yi Yang, Hejie Cui, Carl Yang:
Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract). 4993-4994 - Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). 4995-4996 - Md. Shafiul Alam, Jonathan Boardman, Xiao Huang, Matthew Turner:
Applications of Integrated Gradients in Credit Risk Modeling. 4997-5005 - Md. Shafiul Alam, Namazbai Ishmakhametov, Ying Xie, Sumit Chakravarty:
An Application of Localized Model Explainability: Identifying Key Disparities in Social Determinants of Health in Food Deserts. 5006-5011 - Jonathan W. Boardman, Md. Shafiul Alam, Xiao Huang, Ying Xie:
Integrated Gradients is a Nonlinear Generalization of the Industry Standard Approach to Variable Attribution for Credit Risk Models. 5012-5023 - Anna-Katharina Dhungel:
"Siri, how long should this offender stay in prison?" Considerations about the use of algorithms for judgments in criminal proceedings. 5024-5028 - Emily Hadley:
Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States. 5029-5038 - Jun Huang, Zerui Wang, Ding Li, Yan Liu:
The Analysis and Development of an XAI Process on Feature Contribution Explanation. 5039-5048 - Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak:
Feature Integration Strategies for Multilingual Fake News Classification. 5049-5058 - Bei Wang, Arul Mishra, Himanshu Mishra:
Humans as Mitigators of Biases in Risk Prediction via Field Studies. 5059-5067 - Soudeh Nilforoushan, Qianfan Wu, Mostafa Milani:
Entity Matching with AUC-Based Fairness. 5068-5075 - Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Implementing Responsible AI. 5076-5081 - Sudhashree Sayenju, Ramazan Aygun, Bill Franks, Sereres Johnston, George Lee, Girish Modgil:
Stereotype and Categorical Bias Evaluation via Differential Cosine Bias Measure. 5082-5089 - Ewelina Szczekocka, Christèle Tarnec, Janusz Pieczerak:
Standardization on Bias in Artificial Intelligence as Industry Support. 5090-5099 - Stacey Taylor, Vlado Keselj:
Don't Blindly Use Data: Towards a Data Statement for Computational Financial Research. 5100-5109 - Rui Fan, Yikang Zhang, Sicen Guo, Jiahang Li, Yi Feng, Shuai Su, Yanting Zhang, Wenshuo Wang, Yu Jiang, Mohammud Junaid Bocus, Xingyi Zhu, Qijun Chen:
Urban Digital Twins for Intelligent Road Inspection. 5110-5114 - Hongrui Zhao, Yuxi Jiang, Yining Wang:
Regional Immersive Light Guidance in a Digital Twin System for Tunnel Traffic. 5115-5120 - Shabbab Ali Algamdi, Abdullah Albanyan, Sayed Khushal Shah, Zeenat Tariq:
Twitter Accounts Suggestion: Pipeline Technique SpaCy Entity Recognition. 5121-5125 - Jovan D. Rebolledo-Mendez, Felix A. Tonatiuh Gomez Briones, Leslie G. Gonzalez Cardona:
Legal Artificial Assistance Agent to Assist Refugees. 5126-5128 - Jovan D. Rebolledo-Mendez, Felix A. Tonatiuh Gomez Briones, Leslie G. Gonzalez Cardona:
General Framework for Fast Implementation for Conversational Artificial Assistance for Applications to Enable Global Impact as Tech-for-Good in Law. 5129-5131 - Yusuke Mori, Youichiro Miyake:
Ethical Issues in Automatic Dialogue Generation for Non-Player Characters in Digital Games. 5132-5139 - Keisuke Nakamura, Tatsuyoshi Ando:
A TABOO-NOT in OPEN World Assumption for A Natural Language based Logic Programming. 5140-5144 - Keisuke Nakamura, Tatsuyoshi Ando:
An Automatically Inferable Format for Creating Big Data of Morals, Ethics and ORDER OF VALUES Written Almost in Natural Language. 5145-5150 - Munehiko Sasajima:
Some Issues on Empirical Experiments and Ethical Rules for Knowledge Engineering Research in Interdisciplinary Fields. 5151-5152 - Hamza Abujrida, Emmanuel Agu, Kaveh Pahlavan:
DeePaGait: Motor Assessment of Parkinson's Disease Using a Multi-Layer 1D Convolutional Neural Network on Smartphone Gait Data. 5153-5162 - Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. 5163-5172 - Irfan Al-Hussaini, Davi Nakajima An, Albert J. Lee, Sarah Bi, Cassie S. Mitchell:
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies. 5173-5181 - Sarwan Ali:
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model. 5182-5188 - Abdulsalam Almadani, Abhishek Shivdeo, Emmanuel Agu, Jacques Kpodonu:
Deep Video Action Recognition Models for Assessing Cardiac Function from Echocardiograms. 5189-5199 - Sara A. Alsalamah, Shada Alsalamah, Walaa N. Ismail, Hessah A. Alsalamah, Chang-Tien Lu:
Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models. 5200-5209 - Lennart M. Buhl, Sayantica Pattanayak:
Predicting Taxonomic Identity and Genetic Composition of Codon Usage Bias Levels Using Deep Learning Models. 5210-5216 - Roberto Corizzo, Rodrigo Yepez-Lopez, Sébastien Gilbert, Nathalie Japkowicz:
LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management. 5217-5222 - Giuseppe Cuccu, Christophe Broillet, Carolin Reischauer, Harriet Thöny, Philippe Cudré-Mauroux:
Typhon: Parallel Transfer on Heterogeneous Datasets for Cancer Detection in Computer-Aided Diagnosis. 5223-5232 - Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke A. Rundensteiner, Emmanuel Agu:
HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition. 5233-5242 - Wenbin Du, Huaqing Jin, Chao Yu, Guosheng Yin:
Deep Reinforcement Learning for Bandit Arm Localization. 5243-5252 - Zachariah Farahany, Jiawei Wu, K. M. Sajjadul Islam, Praveen Madiraju:
Oversampling techniques for predicting COVID-19 patient length of stay. 5253-5262 - Jinan Fiaidhi, Sabah Mohammed, Petros Zezos:
Thick Data Techniques for Identifying Abnormality in Video Frames for Wireless Capsule Endoscopy. 5263-5268 - Dongqi Fu, Jingrui He:
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data. 5269-5277 - Mohammad Iqbal, Fitria Urbach, Hsing-Kuo Pao, Anggraini Dwi Sensusiati, Nurul Hidayat, Imam Mukhlash:
Pseudo slicer on three dimensional brain tumor segmentation. 5278-5287 - Chih-En Kuo, Chien-Hsing Lu, Li-Yuan Huang:
Swin-TCNet: A vision transformer-based method for automated chromosomal object detection. 5288-5294 - Chih Lai, Carolin Poschen, Lisa Maria Steinheuer, Jörg Hackermüller:
Preserving Cluster Features in Imputing High Dimensional Data with Extensive Missing Rate. 5295-5304 - Simone A. Ludwig:
Explainability Using SHAP for Epileptic Seizure Recognition. 5305-5311 - Yash Mahajan, Sheikh Rabiul Islam, Mohammad Ruhul Amin, Shubhra Kanti Karmaker Santu:
Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies. 5312-5321 - Sabah Mohammed, Jinan Fiaidhi, Darien Sawyer:
Prototyping the Problem Oriented Medical Record for Connected Health Based on TypeGraphQL. 5322-5327 - Kenna Reagan, Aparna S. Varde, Lei Xie:
Evolving Perceptions of Mental Health on Social Media and their Medical Impacts. 5328-5337 - Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. 5338-5345 - Yen-Ning Su, Chih-En Kuo:
An Automatic Sleep Arousal Detection Method by Enhancing U-Net with Spatial-channel Attention. 5346-5351 - Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi:
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. 5352-5360 - Xinxu Wei, Xiangke Niu, Xianshi Zhang, Yongjie Li:
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays. 5361-5369 - Changhyub Woo, Byunghyun Kim, Jaehun Lee, Buhwan Jeong, Jinwoo Song, Carlo Allocca, Rohit Ail:
Semantic Dietary Personalization for Chronic Disease Management. 5370-5377 - Yi-Yuang Wu, Zhi-Xun Shen, Wen-Yang Lin:
Anonymizing Periodical Releases of SRS Data by Fusing Differential Privacy. 5378-5387 - Zhenyu Zhang, Xuebin Chen, Haogang Zhu:
VF2VF: Improving Precision while Maintaining Accuracy. 5388-5394 - Vasundhara Acharya, Anindita Ghosh, Inwon Kang, Thilanka Munasinghe, K. C. Binita:
Landslide Likelihood Prediction using Machine Learning Algorithms. 5395-5403 - Mst. Shapna Akter, Hossain Shahriar, Sweta Sneha, Alfredo Cuzzocrea:
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network. 5404-5413 - Mst. Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Nova Ahmed, Carson K. Leung:
Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words. 5414-5423 - Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao:
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. 5424-5433 - Yu-Min Chung:
Stable Topological Feature Vectors via Hermite Function Expansion on Persistence Curves. 5434-5443 - Brian Daley, Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea:
GAPS: Generality and Precision with Shapley Attribution. 5444-5450 - Jagan Mohan Reddy, Abhishek Attuluri, Abhinay Kolli, Nazmus Sakib, Hossain Shahriar, Alfredo Cuzzocrea:
A Crowd Source System for YouTube Big Data Analytics: Unpacking Values from Data Sprawl. 5451-5457 - Zheng Dong, Quanjun Chen, Renhe Jiang, Huanchen Wang, Xuan Song, Hao Tian:
Learning Latent Road Correlations from Trajectories. 5458-5467 - Tom Dooney, Stefano Bromuri, R. Lyana Curier:
DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational Wave physics. 5468-5477 - Mohamed Elmahallawy, Tie Luo:
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. 5478-5487 - Mahdi Ghanbari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Graph Clustering Using Node Embeddings: An Empirical Study. 5488-5493 - Emrul Hasan, Chen Ding, Alfredo Cuzzocrea:
Multi-criteria Rating and Review based Recommendation Model. 5494-5503 - Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner:
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? 5504-5513 - Mehak Khan, Gustavo B. M. Mello, Paal Engelstad, Laurence Habib, Anis Yazidi:
HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks. 5514-5519 - Dohyung Kim, Jahwan Koo, Ung-Mo Kim:
OSP-Class: Open Set Pseudo-labeling with Noise Robust Training for Text Classification. 5520-5529 - Mohammad Masum, Nafisa Anjum, Md. Jobair Hossain Faruk, Hossain Shahriar, Nazmus Sakib, Maria Valero, Mohammed Karim, Akond Rahman, Fan Wu, Alfredo Cuzzocrea:
A Novel Machine Learning Based Framework for Bridge Condition Analysis. 5530-5535 - Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. 5536-5541 - Daniel Peralta, Ben Van Herbruggen, Jaron Fontaine, Wout Debyser, Jorg Wieme, Eli De Poorter:
Badminton stroke classification based on accelerometer data: from individual to generalized models. 5542-5548 - Laura Rettig, Kurt Baumann, Sebastian Sigloch, Philippe Cudré-Mauroux:
Leveraging Knowledge Graph Embeddings to Disambiguate Author Names in Scientific Data. 5549-5557 - Vida Sharifian-Attar, Suparna De, Sanaz Jabbari, Jenny Li, Harry Moss, Jon Johnson:
Analysing Longitudinal Social Science Questionnaires: Topic modelling with BERT-based Embeddings. 5558-5567 - Paras Sheth, Ting Liu, Durmus Doner, Qi Deng, Yuhang Wei, Rebecca Muenich, John Sabo, K. Selçuk Candan, Huan Liu:
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems. 5568-5577 - Paras Sheth, Reepal Shah, John Sabo, K. Selçuk Candan, Huan Liu:
STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. 5578-5583 - Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Autonomous Drug Design with Multi-Armed Bandits. 5584-5592 - Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu:
Distributional Shift Adaptation using Domain-Specific Features. 5593-5597 - Jose Paolo Talusan, Ayan Mukhopadhyay, Daniel Freudberg, Abhishek Dubey:
On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data. 5598-5606 - Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima:
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems. 5607-5614 - Boshi Wang, Adrian Barbu:
Scalable Learning with Incremental Probabilistic PCA. 5615-5622 - Xiang Xie, Wilhelm Stork:
Efficient Comprehensive Element Identification in Large Scale Spectral Analysis with Interpretable Dimension Reduction. 5623-5631 - Pengfei Zhang, Chenxia Han, Eric Lo:
More is Less - Byte-quantized models are faster than bit-quantized models on the edge. 5632-5638 - Mst. Shapna Akter, Md. Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Akond Rahman, Fan Wu, Alfredo Cuzzocrea:
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. 5639-5645 - Mst. Shapna Akter, Hossain Shahriar, Nova Ahmed, Alfredo Cuzzocrea:
Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data. 5646-5655 - Sara Asghari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
On Using Node Indices and Their Correlations for Fake Account Detection. 5656-5661 - Giuseppe Cascavilla, Reinier Zwart, Damian A. Tamburri, Alfredo Cuzzocrea:
Explaining IoT Attacks: An Effective and Efficient Semi-Supervised Learning Framework. 5662-5671 - Yu-Jen Chang, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu:
Efficient Inference on Convolutional Neural Networks by Image Difficulty Prediction. 5672-5681 - Ajesh Koyatan Chathoth, Clark P. Necciai, Abhyuday Jagannatha, Stephen Lee:
Differentially Private Federated Continual Learning with Heterogeneous Cohort Privacy. 5682-5691 - Hsin-Yu Chen, Cheng-Te Li:
Predicting and Analyzing Privacy Settings and Categories for Posts on Social Media. 5692-5697 - Charles Duong, Lei Zhang, Chang-Tien Lu:
HateNet: A Graph Convolutional Network Approach to Hate Speech Detection. 5698-5707 - Negin Entezari, Evangelos E. Papalexakis:
Low-rank Defenses Against Adversarial Attacks in Recommender Systems. 5708-5714 - Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo, Michael E. Whitman, Alfredo Cuzzocrea, Fan Wu, Victor Clincy:
Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware: Neural Network Algorithms for Network Denial of Service (DOS) Detection. 5715-5720 - Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Efficient Bayesian Network Construction for Increased Privacy on Synthetic Data. 5721-5730 - Nathaniel Hoy, Theodora Koulouri:
Exploring the Generalisability of Fake News Detection Models. 5731-5740 - Sabrina Ichou, Slimane Hammoudi, Amel Benna, Abdelkrim Meziane, Alfredo Cuzzocrea:
Privacy and Security of Mobile Users in Smart Cities: A Reference Architecture. 5741-5746 - Bishal Lakha, Sara Lilly Mount, Edoardo Serra, Alfredo Cuzzocrea:
Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset. 5756-5764 - Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa:
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. 5765-5774 - M. Mazhar Rathore, Sushil S. Chaurasia, Dhirendra Shukla:
Mixers Detection in bitcoin network: a step towards detecting money laundering in crypto-currencies. 5775-5782 - Guillermo Alamán Requena, Rudolf Mayer, Andreas Ekelhart:
An Efficient Approach for Anonymising the Structure of Heterogeneous Graphs. 5783-5791 - Tanja Sarcevic, Rudolf Mayer, Andreas Rauber:
Adaptive Attacks and Targeted Fingerprinting of Relational Data. 5792-5801 - Xinli Shang, Pavi Subenderan, Mohammad Islam, Jianchun Xu, Jiashen Zhang, Nimish Gupta, Ajit Panda:
One Stone, Three Birds: Finer-Grained Encryption with Apache Parquet @ Large Scale. 5802-5811 - Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana:
Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy. 5812-5822 - Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran:
Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. 5823-5832 - Jeremy Wu, Eric Teng, Ziyue Cao:
Twitter Bot Detection Through Unsupervised Machine Learning. 5833-5839 - Yuxiang Xie, Jie Yan, Xidao Luan, Lili Zhang, Yancheng Zhao, Yingmei Wei:
A Novel Video Copy Sub-sequence Detection and Location Method. 5840-5844 - Jayanth Yetukuri, Yang Liu:
Robust Stochastic Bandit algorithms to defend against Oracle attack using Sample Dropout. 5845-5854 - Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen:
Permutation-Invariant Tabular Data Synthesis. 5855-5864 - Sajid Hussain Rafi Ahamed, Shahid Shakil, Hanjia Lyu, Xinping Zhang, Jiebo Luo:
Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy among Healthcare Workers. 5865-5870 - Sarwan Ali, Muhammad Ahmad, Umair ul Hassan, Muhammad Asad Khan, Shafiq Alam, Imdadullah Khan:
Efficient Data Analytics on Augmented Similarity Triplets. 5871-5880 - Donald Bleyl, Elham Khorasani Buxton:
Emotion Recognition on StackOverflow Posts Using BERT. 5881-5885 - Mustafa Çataltas, Semih Yumusak, Kasim Öztoprak:
Academic Graph: A Literature Review System. 5886-5891 - Djellel Eddine Difallah, Diego Sáez-Trumper, Eriq Augustine, Robert West, Leila Zia:
Crosslingual Section Title Alignment in Wikipedia. 5892-5901 - Leah Ding, Roberto Corizzo, Colin Bellinger, Nancy Ching, Spencer Login, Rodrigo Yepez-Lopez, Jie Gong, Dong L. Wu:
Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data. 5902-5909 - Rafael Hidalgo, Anthony DeVito, Nesreen Salah, Aparna S. Varde, Robert W. Meredith:
Inferring Phylogenetic Relationships using the Smith-Waterman Algorithm and Hierarchical Clustering. 5910-5914 - Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Towards automating Numerical Consistency Checks in Financial Reports. 5915-5924 - Ngai Lam Ho, Kwan Hui Lim:
POIBERT: A Transformer-based Model for the Tour Recommendation Problem. 5925-5933 - Zhou Huang, Feng Zhou:
An Approximation Method for Querying Similar Large Graphs. 5934-5943 - Jueun Jeong, Hanseok Jeong, Han-Joon Kim:
An AutoEncoder-based Numerical Training Data Augmentation Technique. 5944-5951 - Sukhwan Jung, Aviv Segev:
Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution. 5952-5961 - Ragini Kihlman, Maria Fasli:
Improving the co-training algorithm to enhance semi-supervised learning results. 5962-5970 - Yuto Kosugi, Itsuki Matsunaga, Hangli Ge, Takashi Michikata, Noboru Koshizuka:
Traffic Congestion Prediction Using Toll and Route Search Log Data. 5971-5978 - Joshua Lampkins, Darren Chan, Alan Perry, Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari:
Multimodal Road Sign Interpretation for Autonomous Vehicles. 5979-5987 - Haris Mansoor, Sarwan Ali, Shafiq Alam, Muhammad Asad Khan, Umair ul Hassan, Imdadullah Khan:
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. 5988-5997 - Manh-Phu Nguyen, Minh-Son Dao, Thanh-Binh Nguyen:
3D-STGPCN: 3D Spatio-Temporal Graph Point-wise Convolutional Network for Traffic Forecasting. 5998-6007 - Natalia Ostapuk, Djellel Eddine Difallah, Philippe Cudré-Mauroux:
ParaGraph: Mapping Wikidata Tail Entities to Wikipedia Paragraphs. 6008-6017 - Salim Sazzed:
The Dynamics of Ukraine-Russian Conflict through the Lens of Demographically Diverse Twitter Data. 6018-6024 - Lizhuang Sun, Wenhui Hu, Kehui Xu, Yuhang Chen, Qidong Sun, Jiaxi Wang:
ASRC:A Knowledge Graph Relation Construction Model based on Active Learning and Semantic Recognition. 6025-6029 - Jack Tacchi, Chiara Boldrini, Andrea Passarella, Marco Conti:
Signed Ego Network Model and its Application to Twitter. 6030-6038 - Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman:
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. 6039-6047 - Seyithan Temel, Emre Ummak, Abdülkadir Tokgöz, Furkan Isik, Özlem Albayrak, Perin Ünal, A. Murat Özbayoglu:
Control System Design and Implementation Based on Big Data and Ontology. 6048-6056 - Ruijie Tian, Weishi Zhang, Fei Wang, Junting Xiong:
A Context-Aware Method for Indexing Large-Scale SpatioTemporal Data. 6057-6065 - Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
splitDyn: Federated Split Neural Network for Distributed Edge AI Applications. 6066-6073 - Perin Ünal, Özlem Albayrak, Meerim Kubatova, Bilgin Umut Deveci, Ege Çirakman, Ç. Ipek Koçal, A. Murat Özbayoglu:
A Big Data Application in Manufacturing Industry-Computer Vision to Detect Defects on Bearings. 6074-6083 - Ao Wang, Yongchen Yao, Yuhan Yao, Jinpeng Chen:
NOMABER: A Novel Framework for Multi-Type Abnormal Behaviour Recognition. 6084-6091 - Jenq-Haur Wang, Tzong-Ting Hsieh:
Dot-Product Similarity based Centroid Clustering for Popular Topic Detection. 6092-6099 - Yifan Xu, Minghao Zhu, Junli Wang, Chungang Yan:
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-label Text Classification. 6100-6108 - Tomomi Yamazaki, Takahiro Miura, Ichiro Sakata:
Big data analysis reveals an emerging change in academia-industry collaborations in the era of digital convergence. 6109-6118 - Mustafa Çoban, Semih Yumusak, Yasin Yilmaz, Hüseyin Oktay Altun:
Detecting Dangerous Maritime Refugee Migration Paths through Cell Phone Activities. 6119-6124 - Cathy H. Zhang, M. Omair Shafiq:
A Real-time, Scalable Monitoring and User Analytics Solution for Microservices-based Software Applications. 6125-6134 - Yufei Zhao, Chao Huang, Jiebo Luo:
How to Prepare for the Next Pandemic - Investigation of Correlation Between Food Prices and COVID-19 From Global and Local Perspectives. 6135-6144 - Noboru Koshizuka, Hiroshi Mano:
DATA-EX: Infrastructure for Cross-Domain Data Exchange Based on Federated Architecture. 6145-6152 - Hisashi Nakamura, Kenichi Kuma, Kazutoshi Onogi, Takafumi Miyasaka, Yasutaka Makihara, Junichi Ishida, Makoto Iida:
Toward High-Resolution Regional Atmospheric Reanalysis for Japan: An Overview of the ClimCORE Project. 6153-6158 - Yukio Ohsawa, Kaira Sekiguchi, Tomohide Maekawa, Hiroki Yamaguchi, Son Yeon Hyuk, Sae Kondo:
Data Leaves as Scenario-oriented Metadata for Data Federative Innovation on Trust. 6159-6168 - Hiroki Uematsu, Phuc Nguyen, Hideaki Takeda:
Design for Data Structures: Data Unification and Federation with Wikibase. 6169-6178 - Blazej Adamczyk, Maksym Brzeczek, Marcin Michalak, Iwona Kostorz, Lukasz Wawrowski, Marek Hermansa, Michal Czerwinski, Antoni Jamiolkowski:
Dataset Generation Framework for Evaluation of IoT Linux Host-Based Intrusion Detection Systems. 6179-6187 - Maciej Bartoszuk, Jaroslaw Litwin, Mateusz Wnuk, Dominik Slezak:
Tensor-based Approach to Big Data Processing and Machine Learning. 6188-6194 - Radoslaw Cybulski, Piotr Artiemjew:
Accelerating concept-dependent granulation technique using data decomposition. 6195-6201 - Tzung-Pei Hong, Wei-Teng Hung, Wei-Ming Huang, Yu-Chuan Tsai:
Incremental Fuzzy Utility Mining with Tree Structure. 6202-6206 - Tzung-Pei Hong, Jia-Xiang Li, Yu-Chuan Tsai, Wei-Ming Huang:
Unified Temporal Erasable Itemset Mining with a Lower-Bound Strategy. 6207-6211 - Gengsen Huang, Wensheng Gan, Long Li, Tianlong Gu, Jiahui Chen:
Flexibly Mining Better Patterns. 6212-6221 - Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
EVEAL - Expected Variance Estimation for Active Learning. 6222-6231 - Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Similarity Analysis of Order Trajectory for Hospital Management. 6232-6238 - Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano, Katsutoshi Yada:
Temporal Data Mining in AI-based Patient Navigation Service. 6239-6246 - Piotr Podolski, Tomasz Ludziejewski, Hung Son Nguyen:
Data management in training AI chatbot with personality based on granular computing. 6247-6252 - Mateusz Przyborowski, Krzysztof Ciebiera, Krzysztof Stencel:
Large Scale Windowed Matching. 6253-6255 - Mateusz Przyborowski, Dominik Slezak:
Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data. 6256-6260 - Jiayi Sun, Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao:
Pattern Discovery with Utility Occupancy. 6261-6270 - Peifeng Zhang, Jiahui Chen, Shicheng Wan, Wensheng Gan:
Targeted Mining of Rare High-Utility Patterns. 6271-6280 - Rafal Cupek, Jerry Chun-Wei Lin, Jia-Hao Syu:
Automated Guided Vehicles Challenges for Artificial Intelligence. 6281-6289 - Katarzyna Filus, Lukasz Sobczak, Joanna Domanska, Adam Domanski, Rafal Cupek:
Real-time testing of vision-based systems for AGVs with ArUco markers. 6290-6298 - Anu Kaushik, Deepanshu Garg, Anushka Nehra, Rasmeet S. Bali, Mohamed Baza, Gautam Srivastava:
Adaptive Content Forwarding Mechanism for Platoon based Vehicular Named Data Networks. 6299-6305 - Dariusz Marek, Piotr Biernacki, Jakub Szygula, Adam Domanski:
General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. 6306-6314 - Olena Pavliuk, Tomasz Steclik, Piotr Biernacki:
The forecast of the AGV battery discharging via the machine learning methods. 6315-6324 - Katarzyna Prokop, Dawid Polap, Gautam Srivastava:
Neuro-heuristic Pallet Detection for Automated Guided Vehicle Navigation. 6325-6331 - Sumaiya Shaikh, Ch. Rupa, Gautam Srivastava, Thippa Reddy Gadekallu:
Botnet Attack Intrusion Detection In IoT Enabled Automated Guided Vehicles. 6332-6336 - Ireneusz Smolka, Jacek Stój, Piotr Gaj, Marcin Fojcik:
Communication between AGV and standalone station via EtherCAT using WiFi - proof of concept. 6337-6346 - Tomasz Steclik, Rafal Cupek, Marek Drewniak:
Stream data clustering for engineering applications a use case of autonomous guided vehicles. 6347-6356 - Jia-Hao Syu, Jerry Chun-Wei Lin, Dariusz Mrozek:
An Efficient and Secured Energy Management System for Automated Guided Vehicles. 6357-6363 - Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu:
Double-Environmental Q-Learning for Energy Management System in Smart Grid. 6364-6370 - Jakub Szygula, Piotr Biernacki, Dariusz Marek, Adam Domanski, Lukasz Sobczak, Jaroslaw Flak, Dariusz Caban, Piotr Pawlas:
Analysis of web-based geo-visualization methods applied for Automated Guided Vehicle using Satellite Navigation Systems. 6371-6377 - Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). 6378-6386 - Maitry Bhavsar, Abdullah Alfarrarjeh, Utkarsh Baranwal, Seon Ho Kim:
Country-specific Ensemble Learning: A Deep Learning Approach for Road Damage Detection. 6387-6394 - Wenchao Ding, Xu Zhao, Bingke Zhu, Yinglong Du, Guibo Zhu, Tao Yu, Lei Li, Jinqiao Wang:
An Ensemble of One-Stage and Two-Stage Detectors Approach for Road Damage Detection. 6395-6400 - Dongjun Jeong, Jua Kim:
Road Damage Detection using YOLO with Image Tiling about Multi-source Images. 6401-6406 - Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
Effective Deep Learning-Based Ensemble Model for Road Crack Detection. 6407-6415 - Vung Pham, Du Nguyen, Christopher Donan:
Road Damage Detection and Classification with YOLOv7. 6416-6423 - Jakub Pokrywka:
Efficient GPU Training of a Diversified Model Ensemble for the Crowdsensing-based Road Damage Detection Challenge (CRDDC2022). 6424-6430 - Poonam Kumari Saha, Yoshihide Sekimoto:
Road Damage Detection for Multiple Countries. 6431-6438 - Shouxing Wang, Yao Tang, Xusi Liao, Jiang He, Haoliang Feng, Hongzan Jiao, Xin Su, Qiangqiang Yuan:
An Ensemble Learning Approach with Multi-depth Attention Mechanism for Road Damage Detection. 6439-6444 - Lu Yang, Hualin He, Tao Liu:
Road Damage Detection and Classification Based on Multi-Scale Contextual Features. 6445-6453 - Stanislaw Kazmierczak:
Identification of Encrypted Images Based on Image Statistics. 6454-6459 - Huu-Thanh Nguyen, Quang Hieu Vu, Anh-Dung Huynh:
Demystify scrambled and encoded images with auto-encoders. 6460-6465 - Jakub Pokrywka:
Gradient Boosted Trees for Privacy-Preserving Matching of Encrypted Images. 6466-6470 - Marcin S. Szczuka, Andrzej Janusz, Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Slezak:
IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. 6471-6480 - Vrizlynn L. L. Thing:
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning. 6481-6488 - Youngmin Kim, Donghwa Kang, Hyeongboo Baek:
A 2-Stage Model for Vehicle Class and Orientation Detection with Photo-Realistic Image Generation. 6489-6493 - Nguyen Thanh Thien:
Vehicle orientation detection based on synthetic data with image-to-image translation and domain adaptation. 6494-6499 - Jakub Pokrywka:
YOLO with High Dataset Augmentation for Vehicle Class and Orientation Detection. 6500-6506 - Poonam Kumari Saha, Gaurish Gangwar, Yoshihide Sekimoto, Yoshihiro Suda:
Data Resampling and Ensemble Learning for Vehicle Class and Orientation Detection. 6507-6515 - Hamad H. Alsheraifi, Hussain M. Sajwani, Saeed M. Aljaberi, Abdelrahman A. Alblooshi, Ali H. Alhashmi, Saoud A. Sharif, Ernesto Damiani:
Using Generative Adversarial Networks to Simulate System Calls of Malicious Android Processes. 6516-6521 - Slawomir Pioronski, Tomasz Górecki:
Using GAN to Generate Malicious Samples Suitable for Binary Classifier Training. 6522-6527 - Donghwa Shin, Daehee Han, Sunghyon Kyeong:
Performance Enhancement of Malware Classifiers Using Generative Adversarial Networks. 6528-6533 - S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman:
OOG- Optuna Optimized GAN Sampling Technique for Tabular Imbalanced Malware Data. 6534-6539 - Fang Wang, Hussam M. N. Al Hamadi, Ernesto Damiani:
A Visualized Malware Detection Framework with CNN and Conditional GAN. 6540-6546 - Ryoichi Kojima, Roberto Legaspi, Shinya Wada:
Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data. 6547-6552 - Man-Ho Li, Bo-Yu Chen, Cheng-Te Li:
A Hybird Method with Gravity Model and Nearest-Neighbor Search for Trip Destination Prediction in New Metropolitan Areas. 6553-6560 - KaiShen Tseng:
Trip Destination Prediction with Candidate Retrieval and Negative Sampling : IEEE BigData Cup 2022: Trip Destination Prediction. 6561-6564 - Eng-Shen Tu, Yong-Han Chen, En-Chao Liu, Hao-Yun Keng, Cheng-Te Li:
An Embarrassingly Simple Rule-based Visiting Circulation Approach to Trip Destination Prediction. 6565-6572 - Abdulkabir Abdulraheem, Im Young Jung:
A Resident Recognition Using Real and Thermal Image Pairs. 6573-6574 - Anastasios Alexandridis, Ghassan Al-Sumaidaee, Rami Alkhudary, Zeljko Zilic:
A Stylized Presence Detection System in the Era of Blockchain and Big Data. 6575-6577 - Ghassan Al-Sumaidaee, Rami Alkhudary, Zeljko Zilic:
Decentralized Storage for Big Data in Healthcare between Reality and Ambition: IPFS and Sia. 6578-6580 - Hyogyun An, Huiju Kim, Hyuntae Park, Victoire Cyrot:
Perceptual-IQ: Visual Commonsense Reasoning about Perceptual Imagination. 6581-6583 - Akinori Asahara, Yoshihiro Osakabe, Karin Tsuda, Hidekazu Morita:
Interactive Support System for Idea Divergence-Convergence Iteration. 6584-6586 - Sohee Ban, Hyo Suk Nam, Eunjeong Park:
Detecting Paralysis of Stroke Symptom in Video: Transfer Learning with Gated Recurrent Unit using Public Big Data of Facial Images. 6587-6589 - Eric Bax, Arundhyoti Sarkar, Natalie Bax:
Multiple Statistics: Marking Significance. 6590-6592 - Eric Bax, Charlotte Bax:
Even Large Samples Have Challenges: Rare Events, Gaps, and Tails. 6593-6595 - Janusz Bobulski, Mariusz Kubanek:
A method of cleaning data from IoT devices in Big data systems. 6596-6598 - Vincent Boudart, Maxime Fays:
ALBUS: a machine learning algorithm for gravitational wave burst searches. 6599-6601 - Kyeongsu Byun, Joonho Kwon, Goo Kim:
Fairness Improvement Technology and Visualization Services for binary classification datasets collected on a batch basis. 6602-6604 - Xuyang Cao, Yang Cao, Masatoshi Yoshikawa, Atsuyoshi Nakamura:
Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations. 6605-6607 - Irina Chernyavsky, Aparna S. Varde, Simon Razniewski:
CSK-Detector: Commonsense in object detection. 6609-6612 - Eunbi Cho, Sungil Hong, Hyeseo Yoon, Eunsung Cho, Jinho Shim, Joohee Oh, Junghyun Kim:
Data-driven Approach using Unsupervised Learning for Detecting Anomalies in Facility Operations. 6613-6616 - Seongwoo Cho, Yujin Jung, Yongdeuk Seo, Kyuheon Jung, Sungchul Choi:
Optimization Analysis and Standardization of Rolling Process with Machine Learning. 6617-6619 - Dillon Chrimes, Chanhee Kim:
Review of Publically Available Health Big Data Sets. 6625-6627 - Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal. 6628-6630 - Marc Cruz, Sherelene De Beleh, Russel Janairo, Yanbo Zhao, Isha Raheja, Tingting Chen:
Mobility Scooter User Driving Behavior Classification based on Deep Neural Networks. 6631-6632 - Su-Yeon Doo, Kee-Won Kwon:
Dynamic Power Reduction of TCAM Using Selective Precharging of Match Lines. 6633-6635 - Ning Fang, P. Srinivasa Pai:
A Statistical Correlation Analysis of Big Data in Machining. 6636-6638 - Jacopo Fior, Thomas Favale, Luca Cagliero, Danilo Giordano, Marco Mellia, Elena Baralis, Silvia Ronchiadin, Paolo Baracco, Dario Moncalvo:
Legal Entity Disambiguation for Financial Crime Detection. 6639-6641 - Junwoo Ha, Im Young Jung:
An Autonomous Maximum Speed Control Considering Boarding Weight For Safe E-scooter Driving. 6642-6643 - Seungnam Han, Haewon Lee, Seungwook Yoon, Euiseok Hwang:
Localization of IoT Devices based on Spatially Separated Multi-Antenna Radio Frequency Channel State Information. 6644-6646 - Md Hasan, Hoda Maleki, Gagan Agrawal:
Securing Pseudonym Schemes for Vehicular Privacy. 6647-6649 - Soumaya El Herry, Naoya Tanaka, Akihiro Fujii:
Marine Water Quality Analysis of Kesennuma Bay in the Aftermath of the 2011 Great East Japan Earthquake and Tsunami. 6650-6652 - Allison Hsu, Ying-Feng Hsu:
Comparison of Teenagers' Writing Using Word Clouds and Analyzing Engines. 6653-6655 - Koji Iwanuma, Ryo Hinata:
A Fast On-Line ϵ-Approximation Algorithm for Mining Strongly Closed Itemsets. 6656-6659 - Haeun Jang, SeungHo Kim, Jongseok Jeon, Joohee Oh:
Visual Attributes of Thumbnails in Predicting Top YouTube Brand Channels: A Machine Learning Approach. 6660-6662 - Mikyung Je, Myeongji Cho, Yoon Jung Kim, Hyeon S. Son:
Exploring the mutation tendency of a specific region in the virus taxonomic groups using data mining techniques. 6663-6665 - Heehun Jeong, Giup Seo, Euiseok Hwang:
Lossless Data Compression with Bit-back Coding on Massive Smart Meter Data. 6667-6669 - Minseok Jeong, Giup Seo, Euiseok Hwang:
Age of Information Optimization by Deep Reinforcement Learning for Random Access in Machine Type Communication. 6670-6672 - Ting Jiang, Ting Yu, Zexian Hong, Zujie Ren, Ji Zhang:
A Parallel Framework for Streaming Graphs Computing. 6673-6675 - Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka. 6676-6677 - Ramses J. Sotelo Jimenez, Bhavya Medishetty, Byron J. Gao:
COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products. 6678-6681 - Yiqun Jin, Siya Bao:
ML-Based Trading Strategy for Short-Term Price Reactions on Earnings Announcement Reports. 6682-6683 - Seung-Shik Kang, Sangmo Lee, Minhaeng Lee:
Word Phrase Analysis of High-frequency Ngrams in the Large-scale Korean Law Corpus. 6684-6686 - Dong-Hyun Kang, Jeong-Hwa Lee, Tae-Sun Yu, Yushin Lee:
Data Driven Optimal Coil Batching for Annealing Lines with Eligibility Constraints. 6687-6689 - Daisuke Katayama, Kippei Kasai, Takahiro Koita:
Migration Destination Selection Algorithm for Spot Instances using SPS. 6690-6692 - Irshad Khan, Young-Woo Kwon:
Attention-based Malware Detection of Android Applications. 6693-6695 - Sunhee Kim, Young-Suk Lee, Chang-Yong Lee:
Computational method of database construction for genetic variant calling. 6696-6698 - Dongyeon Kim, Yejin Kan, Gangman Yi:
Novel Patrol Route Optimization Method Based on Big Data Analysis. 6699-6701 - Hyejin Kim, Dan Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim:
Continual Learning with Network Intrusion Dataset. 6702-6704 - Chunhyun Paik, Yongjoo Chung, Young Jin Kim:
Outlier Elimination Procedure for Power Curve Modeling of Wind Generation. 6705-6707 - KangMin Kim, Sangwhan Cha:
Soccer Analysis based on Markov Chain and PCA. 6708-6710 - KangMin Kim, Sangwhan Cha:
Towards Developing Face Analysis System based on PCA. 6712-6714 - Yeongmin Kim, Yoon Jung Ko, Seung Jin Oh:
Evaluation and validation of an artificial neural network for predicting the performance of a desiccant coated heat exchanger. 6715-6717 - Dohee Kim, Hyerim Bae:
TDTA: A New Hybrid Framework for Long-term Forecasting of Container Volume. 6718-6720 - Seonhyeong Kim, Young-Woo Kwon:
Construction of Disaster Knowledge Graphs to Enhance Disaster Resilience. 6721-6723 - Yuma Konno, Miyuki Nakano, Masato Oguchi:
Efficient Data Selection Indicators for Updating Models under Data Drifted Environment. 6724-6726 - Tai-Yeon Ku, Wan-Ki Park, Hoon Choi:
Energy Maestro-Transactive Energy Mechanism. 6727-6729 - Kota Kumakura, Masato Oguchi, Takeshi Kamiyama, Saneyasu Yamaguchi:
CPU Usage Trends in Android Applications. 6730-6732 - Yeong-Hyeon Byeon, Keun-Chang Kwak:
Performance Comparison for Deep Learning-Based Personal Identification from the database of ECG and EMG singals. 6733-6735 - Oyun Kwon, Junhwan Kwon, KyeongTaek Oh, Sun K. Yoo:
Interoperable Reference Model for Public Data in Medical Imaging. 6736-6738 - Junhwan Kwon, Jiwon Choi, Oyun Kwon, KyeongTaek Oh, Hayoung Kim, Jaesuk Kim, Sun K. Yoo:
Breathing detection using thermal facial landmark with DICOM file. 6739-6741 - Raid Lafta, Hisham Alshaheen, Biao Wang, Xiaohui Tao, Lingling Li, Kexin Zhang, Ji Zhang:
Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals. 6745-6746 - Youjin Lee, Yonghan Roh:
Regression Yield Analysis for Semiconductor Manufacturing Based on Fabrication Conditions. 6747-6748 - Sangkeun Lee, Supriya Chinthavali, Sarah Tennille, Junghoon Chae, Anika Tabassum, Varisara Tansakul, Daniel Redmon, Robert Moncrief, Aaron Myers:
Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components. 6749-6751 - Taewhi Lee, Kihyuk Nam, Choon Seo Park, Sung-Soo Kim:
Exploiting Machine Learning Models for Approximate Query Processing. 6752-6754 - Jangsoo Lee, Jae-Heon Sim, Jae-Kwang Ahn, Young-Woo Kwon:
An Open Dataset for Deep Learning-based Earthquake Detection using MEMS Sensors. 6755-6757 - Chae-Won Lee, So-Hyun Cho, Jong-Hun Lee, Jun-Seong Lee, Sungchul Choi, Wonchul Seo:
Empirical Research in Anomaly Detection for Rotating Machines Diagnosis using Deep Learning. 6758-6760 - GeeHoon Lee, Im Young Jung:
A Fire Prevention By Abnormal Heat Generation Detection Using LSTM. 6761-6762 - Guanrong Li, Ziwei Wang, Minzhu Zhao, Yunya Song, Liang Lan:
Sentiment Analysis of Political Posts on Hong Kong Local Forums Using Fine-Tuned mBERT. 6763-6765 - Zi Hen Lin, Ziwei Wang, Minzhu Zhao, Yunya Song, Liang Lan:
An AI-based System to Assist Human Fact-Checkers for Labeling Cantonese Fake News on Social Media. 6766-6768 - Ansgar Lößer, Joel Witzke, Florian Schintke, Björn Scheuermann:
BottleMod: Modeling Data Flows and Tasks for Fast Bottleneck Analysis. 6769-6771 - Mingchen Lu, Chen Tang, Peiquan Jin:
Revisiting LSM-Tree-Based Key-Value Stores for ZNS SSDs. 6772-6774 - Mohamed Makhlouf:
BIG: Big Data Intelligence Governance Framework. 6775-6777 - Naoki Monji, Keita Ushida:
Making Karaoke Parties Lively by Reordering Songs Based on Pop Music Concert Program Data. 6779-6780 - Thilanka Munasinghe, Brandon Behlendorf:
Using Graph Neural Networks to Investigate the Relationship Between the Socioeconomic Factors and Emergency Medical Service (EMS) Median Response Time in New York City. 6781-6783 - Masahiro Nakahara, Yuichi Mashiba, Ryusuke Miyamoto, Yuki Fujita, Hisashi Ishida, Keiichi Zempo:
Inspection of unexpected defective products by semi-supervised learning based on a probability density function in high-yield food production. 6784-6786 - Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, Insik Shin:
An Efficient Data Analysis For Edge-Enabled Distributed Environments using Tractable Probabilistic Models. 6787-6789 - Trong N. Nguyen, Youness Arjoune, Jonathan C. Schroeder, Dinesh K. Pillai, Stephen J. Teach, Shilpa J. Patel, Raj Shekhar:
Machine Learning for Automated Wheeze Detection in Children. 6790-6792 - Eunjeong Park, Hyo Suk Nam, Jae-Woo Song:
Federated Learning Models using Flow Cytometry Data of Blood Test in Medical Decision Support. 6793-6795 - Quentin R. Petit, Chong Li, Nahid Emad:
Distributed and Parallel Sparse Computing for Very Large Graph Neural Networks. 6796-6798 - Wei Quan, Zhijian Li, Wonkyung Kim:
Implicit Discriminatory Bias Reflected in Yelp Reviews - A case study. 6799-6801 - M. M. Mahabubur Rahman, Jelena Tesic:
Evaluating Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for High-dimensional Image Feature Search. 6802-6804 - Sara Nieto Rodriguez, Bruno Altieri, Pilar de Teodoro:
Big Data Exploitation in Cosmology: The Euclid Scientific Archive System. 6805-6807 - Shahan Salim, Irfhana Zakir Hussain, Jasleen Kaur, Plinio P. Morita:
Air Pollution Surveillance System: A Big Data Approach to Monitoring Adverse Health Outcomes for Public Health Interventions. 6808-6810 - Toshiyuki Shimono:
Geographic Reason by Hourly Population of 500-Meter-Grid Statistics over Japan Why Tokyo Seemed to Fail Eradicating COVID-19 in Mid 2020. 6811 - Emilija Strelcenia, Simant Prakoonwit:
GAN-based Data Augmentation for Credit Card Fraud Detection. 6812-6814 - Anika Tabassum, Nils M. Stenvig, Sangkeun Lee, Supriya Chinthavali:
Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact. 6815-6817 - Chen Tang, Can Wang, Mingchen Lu, Peiquan Jin:
An Efficient In-Memory Analytics System Based on Persistent Memory. 6818-6820 - Tran Vo Khanh Ngan, Teruhisa Hochin, Hiroki Nomiya, Hideya Nakanishi, Mamoru Shoji:
Prediction of Plasma Discharge Video by Convolutional Long Short-Term Memory. 6821-6823 - Aparna S. Varde, Jianyu Liang, Zhaotong Yang, Richard D. Sisson Jr.:
Ishikawa, JESS, and Visual Analytics for Engineering. 6824-6826 - Zhen Wang, Madison Cooley, Yang Zhang, Chao Lan, Ji Zhang:
Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction. 6827-6829 - Kevin I-Kai Wang, Xiaozhou Ye, Kouichi Sakurai:
Federated Learning with Clustering-Based Participant Selection for IoT Applications. 6830-6831 - Jieling Wu, Mitsugu Saito:
Study on Statistical Analysis of Post-Earthquake Road Use Recovery and Its Application. 6832-6834 - Zenghui Xu, Ting Yu, Xingyun Hong, Mingzhang Li, Yang Zhang, Zujie Ren, Ji Zhang:
IDGMS: a One-Stop Graph Mining System for Infectious Diseases. 6835-6837 - Aviv Yehezkel, Eyal Elyashiv:
A GNN-based Approach for Detecting Network Anomalies from Small Traffic Samples. 6838-6840 - Sojin Yoon, Soon Min Lee, Yura Kwon:
Prediction of Postnatal Growth Failure in Very Low Birth Weight Infants using Artificial Intelligence Mode. 6841-6843 - Ezekiel Ong Young, Hady W. Lauw:
Mining Competitively-Priced Bundle Configurations. 6844-6846 - Yang Zhang, Zhen Wang, Ting Yu, Mingming Lu, Zujie Ren, Ji Zhang:
Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks. 6847-6849 - Zhongliang Zhou, Nathaniel P. Hitt, Benjamin H. Letcher, Weili Shi, Sheng Li:
Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification. 6850-6852 - Eamon Bracht, Volodymyr V. Kindratenko, Robert J. Brunner:
Sparse Spatio-Temporal Neural Network for Large-Scale Forecasting. 1-5 - Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo:
Deep Federated Anomaly Detection for Multivariate Time Series Data. 1-10 - Ricardo Baeza-Yates, Giovanni Delnevo:
Exploration Trade-offs in Web Recommender Systems. 1-9
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