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ORCIDBigData Conference 2020: Atlanta, GA, USA
- Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Hu, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz:
2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020. IEEE 2020, ISBN 978-1-7281-6251-5 - Jeannette M. Wing:
Data for Good: Ensuring the Responsible Use of Data to Benefit Society. 1-2 - Ozgun Pinarer, Sultan Turhan
:
Pandemic Effect: Degradation of Speech Reception Due to Medical Masks. 1-7 - Alan B. Cannaday, Curt H. Davis, Andrew J. Maltenfort:
Evaluation of Fuzzy Integral Data Fusion Methods for Rare Object Detection in High-Resolution Satellite Imagery. 1-10 - John N. Celona, Louis Halamek, Adam Seiver:
Making "Magic" with Engineered Decisions, Data, and Processes: A Hospital Operations Center. 1-8 - A. K. Singh, Navneet Goyal:
Understanding and Mitigating Threats from Android Hybrid Apps Using Machine Learning. 1-9 - Divesh Srivastava:
Towards High-Quality Big Data: Lessons from FIT. 4 - Sara Ahmadian, Shahrzad Haddadan:
A theoretical analysis of graph evolution caused by triadic closure and algorithmic implications. 5-14 - Yujing Chen, Yue Ning, Martin Slawski, Huzefa Rangwala:
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data. 15-24 - Jie Ding, Bangjun Ding:
"To Tell You the Truth" by Interval-Private Data. 25-32 - Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. 33-43 - Sheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu:
GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs. 44-53 - Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal:
Augmenting Deep Learning with Relational Knowledge from Markov Logic Networks. 54-63 - Farzaneh Khoshnevisan, Min Chi:
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems. 64-73 - Minkyu Kim, Suan Lee, Jinho Kim:
Combining Multiple Implicit-Explicit Interactions for Regression Analysis. 74-83 - Peter Sanders:
Connecting MapReduce Computations to Realistic Machine Models. 84-93 - Noah Schwalb, Edward Schwalb:
Applications of Particle Swarm Optimization to System Identification and Supervised Learning. 94-101 - Vinícius M. A. de Souza, Farhan Asif Chowdhury, Abdullah Mueen:
Unsupervised Drift Detection on High-speed Data Streams. 102-111 - Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah:
Improving Model Training by Periodic Sampling over Weight Distributions. 112-122 - Ziyao Zhang, Liang Ma, Kin K. Leung, Konstantinos Poularakis, Mudhakar Srivatsa:
State Action Separable Reinforcement Learning. 123-132 - Jerry Chee, Ping Li:
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. 133-140 - Cheng Chen, Junjie Yang, Yi Zhou:
Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study. 141-146 - Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke A. Rundensteiner, Emmanuel Agu:
BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias. 147-154 - Mohammad J. Hashemi, Eric Keller:
General Domain Adaptation Through Proportional Progressive Pseudo Labeling. 155-162 - Huan He, Yuanzhe Xi, Joyce C. Ho:
Fast and Accurate Tensor Decomposition without a High Performance Computing Machine. 163-170 - Mohammad Rasool Izadi, Yihao Fang, Robert Stevenson, Lizhen Lin:
Optimization of Graph Neural Networks with Natural Gradient Descent. 171-179 - Zhaoxi Li, Jun He, Hongyan Liu, Xiaoyong Du:
Combining Global and Sequential Patterns for Multivariate Time Series Forecasting. 180-187 - Matthew Middlehurst, James Large, Anthony J. Bagnall:
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. 188-195 - Gyoung S. Na, Hyun Woo Kim, Hyunju Chang:
Scale-Aware Graph-Based Machine Learning for Accurate Molecular Property Prediction. 196-203 - Yang Ni, David Jones, Zeya Wang:
Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering. 204-209 - Edward Schwalb:
Sketches: Fast Membership Scans for Continuous Variable Predicate Workloads. 210-217 - Taruna Seth, Vipin Chaudhary:
A Predictive Analytics Framework for Insider Trading Events. 218-225 - Chengbin Sun, Hailong Sun, Xudong Liu:
Robust Adversarial Active Learning with a Novel Diversity Constraint. 226-231 - Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani:
A Non-linear Function-on-Function Model for Regression with Time Series Data. 232-239 - Tianyang Xie, Jie Ding:
Forecasting with Multiple Seasonality. 240-245 - Kevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara:
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections. 246-255 - Hariharan Devarajan, Anthony Kougkas, Xian-He Sun:
HReplica: A Dynamic Data Replication Engine with Adaptive Compression for Multi-Tiered Storage. 256-265 - Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice:
Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian Optimization. 266-275 - Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit:
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. 276-287 - Vipul Gupta, Swanand Kadhe, Thomas A. Courtade, Michael W. Mahoney, Kannan Ramchandran:
OverSketched Newton: Fast Convex Optimization for Serverless Systems. 288-297 - Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman:
Large-Scale Intelligent Microservices. 298-309 - Chris Liu, Pengfei Zhang, Bo Tang, Hang Shen, Ziliang Lai, Eric Lo, Korris Fu-Lai Chung:
Towards Self-Tuning Parameter Servers. 310-319 - Matthew Madany, Kyle Marcus, Steven Peltier, Mark H. Ellisman, Ilkay Altintas:
NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I. 320-330 - Michael J. Mior, Kenneth Salem:
ReSpark: Automatic Caching for Iterative Applications in Apache Spark. 331-340 - Frank Pallas, Dimitri Staufer, Jörn Kuhlenkamp:
Evaluating the Accuracy of Cloud NLP Services Using Ground-Truth Experiments. 341-350 - Martin Perdacher, Claudia Plant, Christian Böhm:
Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition. 351-360 - Buvaneswari Ramanan, Lawrence M. Drabeck, Thomas Woo, Troy Cauble, Anil Rana:
~PB&J~ - Easy Automation of Data Science/Machine Learning Workflows. 361-371 - Paula Ta-Shma, Guy Khazma, Gal Lushi, Oshrit Feder:
Extensible Data Skipping. 372-382 - Tanuj Kr Aasawat, Tahsin Reza, Kazuki Yoshizoe, Matei Ripeanu:
HyGN: Hybrid Graph Engine for NUMA. 383-390 - Vitor Pinheiro de Almeida, Sukanya Bhowmik, Guilherme F. Lima, Markus Endler, Kurt Rothermel:
DSCEP: An Infrastructure for Decentralized Semantic Complex Event Processing. 391-398 - Sikder Tahsin Al-Amin, Siva Uday Sampreeth Chebolu, Carlos Ordonez:
Extending the R Language with a Scalable Matrix Summarization Operator. 399-405 - Soumia Benkrid, Yacine Mestoui, Ladjel Bellatreche, Carlos Ordonez:
A Genetic Optimization Physical Planner for Big Data Warehouses. 406-412 - Christian Böhm, Claudia Plant:
Massively Parallel Random Number Generation. 413-419 - Yi-Long Chen, Pangfeng Liu, Jan-Jan Wu:
An Adaptive Layer Expansion Algorithm for Efficient Training of Deep Neural Networks. 420-425 - Ryan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube:
Effectively Using Remote I/O For Work Composition in Distributed Workflows. 426-433 - Morgan K. Geldenhuys, Lauritz Thamsen, Odej Kao:
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. 434-440 - James Henrydoss, Steve Cruz, Chunchun Li, Manuel Günther, Terrance E. Boult:
Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM). 441-448 - Hirokuni Kitahara, Kugamoorthy Gajananan, Yuji Watanabe:
Highly-Scalable Container Integrity Monitoring for Large-Scale Kubernetes Cluster. 449-454 - Qizhong Mao, Mohiuddin Abdul Qader, Vagelis Hristidis:
Comprehensive Comparison of LSM Architectures for Spatial Data. 455-460 - Abbas Mazloumi, Chengshuo Xu, Zhijia Zhao, Rajiv Gupta:
BEAD: Batched Evaluation of Iterative Graph Queries with Evolving Analytics Demands. 461-468 - Md Hasanuzzaman Noor, Leonidas Fegaras:
Translation of Array-Based Loops to Spark SQL. 469-476 - Wei Rang, Donglin Yang, Dazhao Cheng:
A Shared Memory Cache Layer across Multiple Executors in Apache Spark. 477-482 - Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle:
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. 483-492 - Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk:
On the Mining of the Minimal Set of Time Series Data Shapelets. 493-502 - Xiaoyu Ge, Xiaozhong Zhang, Panos K. Chrysanthis:
ExNav: An Interactive Big Data Exploration Framework for Big Unstructured Data. 503-512 - Himanshu Gupta, Rajmohan C, Sameep Mehta, Kiran Pulapa:
On Efficiently Processing Business Lineage Queries. 513-522 - Dimitrios Karapiperis, Aris Gkoulalas-Divanis, Vassilios S. Verykios:
Efficient Record Linkage in Data Streams. 523-532 - Iouliana Litou, Vana Kalogeraki:
Cost-Aware Influence Maximization in Multi-Attribute Networks. 533-542 - Jiamin Lu, Cheng Yang, Bingfa Wang, Jun Feng:
FP-ExtVP: Accelerating Distributed SPARQL queries by Exploiting Load-adaptive Partitioning. 543-550 - Shaina Raza, Chen Ding:
A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System. 551-560 - Kenneth Teo Tian Shun, Eko Edita Limanta, Arijit Khan:
An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning. 561-570 - Samriddhi Singla, Ahmed Eldawy:
Raptor Zonal Statistics: Fully Distributed Zonal Statistics of Big Raster + Vector Data. 571-580 - Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
PyHessian: Neural Networks Through the Lens of the Hessian. 581-590 - Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer:
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. 591-596 - Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama:
AutoML for Stream k-Nearest Neighbors Classification. 597-602 - Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
Self-supervised Hierarchical Graph Neural Network for Graph Representation. 603-608 - Christian Böhm, Claudia Plant:
Massively Parallel Graph Drawing and Representation Learning. 609-616 - Du Chen, Yuming Deng, Guangrui Ma, Hao Ge, Yunwei Qi, Ying Rong, Xun Zhang, Huan Zheng:
Inventory Based Recommendation Algorithms. 617-622 - Sidan Gao, Nodirbek Korchiev, Vodelina Samatova, Kemafor Anyanwu:
Efficient Constrained Subgraph Extraction for Exploratory Discovery in Large Knowledge Graphs. 623-630 - Ziyi Kou, Daniel Yue Zhang, Lanyu Shang, Dong Wang:
ExFaux: A Weakly Supervised Approach to Explainable Fauxtography Detection. 631-636 - Lukas Probst, Heiko Schuldt, Philipp Seidenschwarz, Martin Rumo:
StreamTeam-Football: Analyzing Football Matches in Real-Time on the Basis of Position Streams. 637-644 - Hadi Salman, Justin Zhan:
Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering. 645-650 - Sabarish Vadarevu, Vijay Karamcheti:
A new heuristic algorithm for fast k-segmentation. 651-658 - Ran Bai, Ziliang Lai, Eric Lo, Wing-Kai Hon, Pengfei Zhang:
Practical Range Counting over Data Streams. 659-668 - Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty:
Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion. 669-678 - Aarzoo Dhiman, Durga Toshniwal:
An Unsupervised Misinformation Detection Framework to Analyze the Users using COVID-19 Twitter Data. 679-688 - Ahnaf Farhan, Mahmud Shahriar Hossain:
VizObj2Vec: Contextual Representation Learning for Visual Objects in Video-frames. 689-698 - Umar Farooq, A. B. Siddique, Fuad T. Jamour, Zhijia Zhao, Vagelis Hristidis:
App-Aware Response Synthesis for User Reviews. 699-708 - Yizhan Xu, Sungwon Han, Sungwon Park, Meeyoung Cha, Cheng-Te Li:
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning. 709-717 - Sunwoo Lee, Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Communication-Efficient Local Stochastic Gradient Descent for Scalable Deep Learning. 718-727 - Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
Basket Recommendation with Multi-Intent Translation Graph Neural Network. 728-737 - Fangbing Liu, Qing Wang:
Dynamic Chunkwise CNN for Distantly Supervised Relation Extraction. 738-747 - Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir D. Memon:
The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic. 748-757 - Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang:
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. 758-767 - Nikitha Rao, Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan:
Analyzing Web Search Behavior for Software Engineering Tasks. 768-777 - Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash:
Mapping Network States using Connectivity Queries. 778-787 - Ehsan Sadrfaridpour, Korey Palmer, Ilya Safro:
AML-SVM: Adaptive Multilevel Learning with Support Vector Machines. 788-797 - Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang:
GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. 798-807 - Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Learning Similarity-Preserving Meta-Embedding for Text Mining. 808-817 - Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han:
Pattern-enhanced Named Entity Recognition with Distant Supervision. 818-827 - Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han:
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. 828-837 - Yali Xiang, Yun Xiong, Yangyong Zhu:
TI-GCN: A Dynamic Network Embedding Method with Time Interval Information. 838-847 - Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong:
Ranking on Network of Heterogeneous Information Networks. 848-857 - Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han:
Graph Clustering with Embedding Propagation. 858-867 - Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan:
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. 868-877 - Amir Abolfazli, Eirini Ntoutsi:
Drift-Aware Multi-Memory Model for Imbalanced Data Streams. 878-885 - Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. 886-891 - Ali Assi, Mohamed Elati, Wajdi Dhifli:
Instance Matching in Knowledge Graphs Through Dynamic, Distributed and Affinity-Preserving Random Walk. 892-897 - Ting Bai, Youjie Zhang, Bin Wu, Jian-Yun Nie:
Temporal Graph Neural Networks for Social Recommendation. 898-903 - Chen Cui, Ning Yang, Philip S. Yu:
MLANE: Meta-Learning Based Adaptive Network Embedding. 904-909 - Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu:
Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion. 910-915 - Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. 916-923 - Yang Gao, Yi-Fan Li, Yu Lin, Hemeng Tao, Latifur Khan:
A Simple, Effective and Extendible Approach to Deep Multi-task Learning. 924-929 - Maryam Habibi, Johannes Starlinger, Ulf Leser:
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity. 930-937 - Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang:
GAMIT: A New Encoder-Decoder Framework with Graphical Space and Multi-grained Time for Traffic Predictions. 938-943 - Minglin Hong, Xiaolin Li, Jing Wang, Haiyang He, Shiguo Huang:
A Hybrid Salient Object Detection with Global Context Awareness. 944-949 - Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. 950-956 - Penghang Liu, Ahmet Erdem Sariyüce:
Characterizing and Utilizing the Interplay Between Core and Truss Decompositions. 957-962 - Masamichi Shimosaka, Kota Tsubouchi, Yanru Chen, Yoshiaki Ishihara, Junichi Sato:
MOIRE: Mixed-Order Poisson Regression towards Fine-grained Urban Anomaly Detection at Nationwide Scale. 963-970 - Sasan Tavakkol, Cyrus Shahabi, Feng Han, Raimondas Kiveris:
Piaget: A Probabilistic Inference Approach for Geolocating Historical Buildings. 971-978 - Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
A Hybrid Deep Model for Learning to Rank Data Tables. 979-986 - Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates:
Adaptive Community Search in Dynamic Networks. 987-995 - Viska Wei, Nikita Ivkin, Vladimir Braverman, Alexander S. Szalay:
Sketch and Scale Geo-distributed tSNE and UMAP. 996-1003 - Terri Elizabeth Workman, YiJun Shao, Guy Divita, Qing Zeng-Treitler:
A Proficient Spelling Analysis Method Applied to Herbal and Dietary Supplement Discovery in a Large Clinical Corpus. 1004-1010 - Chen Chen, Jaewoo Lee:
Stochastic Adaptive Line Search for Differentially Private Optimization. 1011-1020 - Pablo Loyola, Kugamoorthy Gajananan, Hirokuni Kitahara, Yuji Watanabe, Fumiko Satoh:
Automating Domain Squatting Detection Using Representation Learning. 1021-1030 - Teryl Taylor, Frederico Araujo, Xiaokui Shu:
Towards an Open Format for Scalable System Telemetry. 1031-1040 - Prasanna Umar, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer:
A Study of Self-Privacy Violations in Online Public Discourse. 1041-1050 - Daniel Yue Zhang, Ziyi Kou, Dong Wang:
FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models. 1051-1060 - Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, Li Xiong:
Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. 1061-1070 - Shuai Zhao, Roshani Bharati, Cristian Borcea, Yi Chen:
Privacy-Aware Federated Learning for Page Recommendation. 1071-1080 - Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau:
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. 1081-1088 - Suwen Lin, Louis Faust, Sidney D'Mello, Gonzalo J. Martínez, Nitesh V. Chawla:
MBead: Semi-supervised Multilabel Behaviour Anomaly Detection on Multivariate Temporal Sensory Data. 1089-1096 - Mohammadhossein Toutiaee, John A. Miller:
Gaussian Function On Response Surface Estimation. 1097-1102 - Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. 1103-1110 - Haruki Imai, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya:
Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing. 1111-1116 - Doina Caragea, Mark Chen, Theodor Cojoianu, Mihai Dobri, Kyle Glandt, George Mihaila:
Identifying FinTech Innovations Using BERT. 1117-1126 - Harshal A. Chaudhari, John W. Byers, Evimaria Terzi:
Learn to Earn: Enabling Coordination Within a Ride-Hailing Fleet. 1127-1136 - Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou:
BELT: A Pipeline for Stock Price Prediction Using News. 1137-1146 - Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal:
Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach. 1147-1155 - Aritra Ghosh, Beverly P. Woolf, Shlomo Zilberstein, Andrew S. Lan:
Skill-based Career Path Modeling and Recommendation. 1156-1165 - Sayan Goswami, Kisung Lee, Seung-Jong Park:
Distributed de novo assembler for large-scale long-read datasets. 1166-1175 - Marios Kefalas, Milan Koch, Victor Geraedts, Hao Wang, Martijn Tannemaat, Thomas Bäck:
Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data. 1176-1185 - Bin Liu, Ying Li, Kenney Ng:
Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning. 1186-1195 - Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu:
Heterogeneous Similarity Graph Neural Network on Electronic Health Records. 1196-1205 - Junhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim:
EPIC30M: An Epidemics Corpus of Over 30 Million Relevant Tweets. 1206-1215 - Sumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris:
Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN. 1216-1225 - Rounak Meyur, Madhav V. Marathe, Anil Vullikanti, Henning S. Mortveit, Samarth Swarup, Virgilio Centeno, Arun G. Phadke:
Creating Realistic Power Distribution Networks using Interdependent Road Infrastructure. 1226-1235 - Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son, Yun Jeong Song:
Anomaly Detection in Edge Nodes using Sparsity Profile. 1236-1245 - Hyunwoo Sohn, Kyungjin Park, Min Chi:
MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling. 1246-1255 - Thomas Veran, Pierre-Edouard Portier, François Fouquet:
Crash prediction for a French highway network with an XAI-informed Bayesian hierarchical model. 1256-1265 - Tingxian Wang, Kebin Jia, Meng Yao:
Sequence Matching with Discriminative Binary Features for Robust and Fast Light-Rail Localization at High Frame Rate. 1266-1272 - Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services. 1273-1282 - Peter Xenopoulos, Harish Doraiswamy, Cláudio T. Silva:
Valuing Player Actions in Counter-Strike: Global Offensive. 1283-1292 - Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu:
Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. 1293-1300 - Francesco Fusco, Bradley Eck, Robert Gormally, Mark Purcell, Seshu Tirupathi:
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks. 1301-1308 - Shafie Gholizadeh, Matthew Phillips, Maryam Tavakoli Hosseinabadi, Daisy Leon, James Rozier:
Analysis of Human Trafficking in North Carolina Based on Criminal Records: A Framework to Measure Human Trafficking Trends. 1309-1315 - Madhuri Ghorpade, Haiquan Chen, Yuhong Liu, Zhe Jiang:
SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing. 1316-1321 - Kaihao Guo, Tianpei Jiang, Haipeng Zhang:
Knowledge Graph Enhanced Event Extraction in Financial Documents. 1322-1329 - Xin Huang, Sahara Ali, Chenxi Wang, Zeyu Ning, Sanjay Purushotham, Jianwu Wang, Zhibo Zhang:
Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data. 1330-1337 - Kazi Ashik Islam, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
A Simulation-based Approach for Large-scale Evacuation Planning. 1338-1345 - Shengli Jiang, Prasanna Balaprakash:
Graph Neural Network Architecture Search for Molecular Property Prediction. 1346-1353 - Jaehoon Koo, Diego Klabjan, Jean Utke:
Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. 1354-1361 - Satoshi Kuwamoto, Yu Kitano, Akinori Asahara:
Machine-learning-based People-flow Simulation for Facility Layout Planning. 1362-1367 - Yadnyesh Y. Luktuke, Adam W. Hoover:
Segmentation and Recognition of Eating Gestures from Wrist Motion using Deep Learning. 1368-1373 - Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, Md. Shafiul Alam:
r-LSTM: Time Series Forecasting for COVID-19 Confirmed Cases with LSTMbased Framework. 1374-1379 - Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw J. Porebski, Parantapa Bhattacharya, Shirish Dumbre, Erin Raymond, Madhav V. Marathe:
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. 1380-1387 - Jinhe Shi, Xiangyu Gao, Chenyu Ha, Yage Wang, Guodong Gordon Gao, Yi Chen:
Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes. 1388-1393 - Alan Sun, Harry Xiao:
ThanosNet: A Novel Trash Classification Method Using Metadata. 1394-1401 - Shigeki Tanaka, Ryoki Wakamoto, Yusuke Fukazawa:
Real-time Karaoke Recommendations : Session-based Multi-Task Recommendations with Multivariate RNNs. 1402-1409 - Yiyang Wang, Qinghua Zheng, Jianfei Ruan, Yuda Gao, Yan Chen, Xuanya Li, Bo Dong:
T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection. 1410-1415 - Manman Xu, Runhua Jiang, Tao Wang, Di Wang, Xiaoju Lu:
Structured Dictionary Learning with Block Diagonal Regularization for Image Classification. 1416-1423 - Ying Yang, Xin Lou, Binbin Chen, Marianne Winslett, Zbigniew Kalbarczyk:
Identifying Failing Point Machines from Sensor-Free Train System Logs. 1424-1429 - Hang Yin, Xinyue Liu, Xiangnan Kong:
Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks. 1430-1435 - Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta, Haiyan Wang:
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. 1436-1441 - Peijiang Zhao, Koji Zettsu:
MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction. 1442-1448 - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
MLAS: Metric Learning on Attributed Sequences. 1449-1454 - Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events. 1455-1464 - Sayan Chakraborty, Smit Shah, Kiumars Soltani, Anna Swigart, Luyao Yang, Kyle Buckingham:
Building an Automated and Self-Aware Anomaly Detection System. 1465-1475 - Ramji Chandrasekaran, Harsh Nilesh Pathak, Tae Yano:
Deep Neural Query Understanding System at Expedia Group. 1476-1484 - Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao:
CNN Application in Detection of Privileged Documents in Legal Document Review. 1485-1492 - Paul Cuddihy, Jenny Weisenberg Williams, Vijay S. Kumar, Kareem S. Aggour, Andrew Crapo, Sharad Dixit:
FDC Cache: Semantics-driven Federated Caching and Querying for Big Data. 1493-1502 - Boxiang Dong, Hui Bill Li, Yang Ryan Wang, Rami Safadi:
2D-ATT: Causal Inference for Mobile Game Organic Installs with 2-Dimensional Attentional Neural Network. 1503-1512 - Masaharu Goto, Kiyoshi Chikamatsu, Naoki Kobayashi, Gang Ren, Mitsunori Ogihara:
Effective Detection of Rare Anomalies from Massive Waveform Data Using Heterogeneous Clustering. 1513-1522 - Hamdi Ben Hamadou, Torben Bach Pedersen, Christian Thomsen:
The Danish National Energy Data Lake: Requirements, Technical Architecture, and Tool Selection. 1523-1532 - Hao Jiang, Fan Yang, Wutao Wei:
Statistical Reasoning of Zero-Inflated Right-Skewed User-Generated Big Data A/B Testing. 1533-1544 - Kenta Kanamori, Kota Tsubouchi, Junichi Sato, Tatsuru Higurashi:
Location YardStick: Calculation of the Location Data Value Depending on the Users' Context. 1545-1554 - Olivera Kotevska, Jeffrey Munk, Kuldeep R. Kurte, Yan Du, Kadir Amasyali, Robert W. Smith, Helia Zandi:
Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control. 1555-1564 - Emil Laftchiev, Qing Yan, Daniel Nikovski:
The Missing Input Problem. 1565-1573 - Paul Luo Li, Xiaoyu Chai, W. Duncan Wadsworth, Jilong Liao, Brandon Paddock:
Empirical Evaluation of Federated Learning with Local Privacy for Real-World Application. 1574-1583 - Swarnim Narayan, Chepuri Shri Krishna, Varun Mishra, Abhinav Rai, Himanshu Rai, Chandrakant Bharti, Gursirat Singh Sodhi, Ashish Gupta, Nitinbalaji Singh:
Ultron-AutoML: an open-source, distributed, scalable framework for efficient hyper-parameter optimization. 1584-1593 - Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav:
Temporal Tensor Transformation Network for Multivariate Time Series Prediction. 1594-1603 - Dhaval Patel, Shrey Shrivastava, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam, Chandra Reddy:
Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph. 1604-1613 - Dhaval Patel, Nianjun Zhou, Shrey Shrivastava, Jayant Kalagnanam:
Doctor for Machines: A Failure Pattern Analysis Solution for Industry 4.0. 1614-1623 - Dhaval Patel, Syed Yousaf Shah, Nianjun Zhou, Shrey Shrivastava, Arun Iyengar, Anuradha Bhamidipaty, Jayant Kalagnanam:
FLOps: On Learning Important Time Series Features for Real-Valued Prediction. 1624-1633 - Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong:
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. 1634-1643 - Shrey Shrivastava, Dhaval Patel, Nianjun Zhou, Arun Iyengar, Anuradha Bhamidipaty:
DQLearn : A Toolkit for Structured Data Quality Learning. 1644-1653 - Yair Koren, Oren Somekh, Avi Shahar, Anna Itzhaki, Tal Cohen, Milena Krasteva, Tomer Shadi:
Dynamic Creative Optimization in Verizon Media Native Advertising. 1654-1662 - Xuning Tang, Yihua Shi Astle, Craig Freeman:
Deep Anomaly Detection with Ensemble-Based Active Learning. 1663-1670 - Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Intervention Recommendation for Improving Disability Employment. 1671-1680 - Kota Tsubouchi, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa:
Search Wandering Score: Predicting Timings of Online Shopping based on Wandering in User's Web Search Queries. 1681-1688 - Bhanukiran Vinzamuri, Elham Khabiri, Anuradha Bhamidipaty, Gregory Mckim, Biren Gandhi:
An End-to-End Context Aware Anomaly Detection System. 1689-1698 - Jason Wang, Kaiqun Fu, Chang-Tien Lu:
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection. 1699-1708 - Eva van Weenen, Stefan Feuerriegel:
Estimating Risk-Adjusted Hospital Performance. 1709-1719 - Amelia White, Chris Jenness, Jason Kaufman, Roger Cost, Wickus Martin, Justin Moynihan, Patrick McCarthy, Melinda Han Williams:
Privacy-Friendly ID-Free Digital Ad Targeting using URL Embeddings. 1720-1725 - René Wöstmann, Philipp Schlunder, Fabian Temme, Ralf Klinkenberg, Josef Kimberger, Andrea Spichtinger, Markus Goldhacker, Jochen Deuse:
Conception of a Reference Architecture for Machine Learning in the Process Industry. 1726-1735 - Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang:
Merchant Category Identification Using Credit Card Transactions. 1736-1744 - Manzhu Yu, Julie Bessac, Ling Xu, Aryya Gangopadhyay, Yingxi Rona Shi, Jianwu Wang:
Image Segmentation for Dust Detection Using Semi-supervised Machine Learning. 1745-1754 - Wang Zhou, Levente J. Klein, Siyuan Lu:
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data. 1755-1763 - Nianjun Zhou, Dhaval Patel, Arun Iyengar, Shrey Shrivastava, Anuradha Bhamidipaty:
A Verifiable Imputation Analysis for Univariate Time Series and Enabling Package. 1764-1773 - Unaiza Ahsan, Xiquan Cui, Rebecca West, Mingming Guo, San He Wu, Khalifeh Al Jadda:
Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail. 1774-1779 - Yin-Chen Liu, BaekGyu Kim:
V-WorkGen: Virtual Workload Generation Tool for Connected Automotive Services. 1780-1783 - Chianing Johnny Wang, BaekGyu Kim:
Automotive Big Data Pipeline: Disaggregated Hyper-Converged Infrastructure vs Hyper-Converged Infrastructure. 1784-1787 - Meznah A. Alamro, Khalid T. Mursi, Yu Zhuang, Mohammed Saeed Alkatheiri, Ahmad O. Aseeri:
Does Sophisticating Double Arbiter PUF Design Ensure its Security? Performance and Security Assessments on 5-1 DAPUF. 1788-1795 - Alexander Egiazarov, Fabio Massimo Zennaro, Vasileios Mavroeidis:
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions. 1796-1804 - Lukas Lundmark, Fredrik Johansson, Björn Pelzer, Lisa Kaati, Johan Fernquist:
The Applicability of Authorship Verification to Swedish Discussion Forums. 1805-1812 - Tariro Manyumwa, Phillip Francis Chapita, Hanlu Wu, Shouling Ji:
Towards Fighting Cybercrime: Malicious URL Attack Type Detection using Multiclass Classification. 1813-1822 - Antonio José Horta Neto, Anderson Fernandes Pereira dos Santos:
Cyber Threat Hunting Through Automated Hypothesis and Multi-Criteria Decision Making. 1823-1830 - Ian Oliver:
An Approach to Combining Medical Device Fault Analysis with Trusted Computing Forensics. 1831-1837 - Jacob Rose, Thirimachos Bourlai, James A. Loudermilk:
Assessment of Data Augmentation Techniques for Firearm Detection in Surveillance Videos. 1838-1846 - Chia-En Tsai, Cheng-Lin Yang, Chong-Kuan Chen:
CTI ANT: Hunting for Chinese Threat Intelligence. 1847-1852 - Yekta Said Can, M. Erdem Kabadayi:
Curation of Historical Arabic Handwritten Digit Datasets from Ottoman Population Registers: A Deep Transfer Learning Case Study. 1853-1860 - Mark Conrad, Lyneise Williams:
Elevating "Everyday" Voices and People in Archives through the Application of Graph Database Technology. 1861-1865 - Mian Dai, Chao-Lin Liu:
Multi-label Classification of Chinese Judicial Documents based on BERT. 1866-1867 - Yasith Jayawardana, Alexander C. Nwala, Gavindya Jayawardena, Jian Wu, Sampath Jayarathna, Michael L. Nelson, C. Lee Giles:
Modeling Updates of Scholarly Webpages Using Archived Data. 1868-1877 - Mat Kelly, Jane Greenberg, Christopher B. Rauch, Sam Grabus, Joan P. Boone, John A. Kunze, Peter Melville Logan:
A Computational Approach to Historical Ontologies. 1878-1883 - Alessandro de Masi:
From Computational De-Morphogenesis to Contaminated Representation for the Contemporary Digital Tectonics and Lexicon : Vulnerability and Resilience of the Generative Representation in the Web-Oriented Platform - BIM/GD. 1884-1893 - Lori A. Perine, Rajesh Kumar Gnanasekaran, Phillip Nicholas, Alexis Hill, Richard Marciano:
Computational Treatments to Recover Erased Heritage: A Legacy of Slavery Case Study (CT-LoS). 1894-1903 - Teddy Randby, Richard Marciano:
Digital Curation and Machine Learning Experimentation in Archives. 1904-1913 - Enda O'Shea, Rafflesia Khan, Ciara Breathnach, Tiziana Margaria:
Towards Automatic Data Cleansing and Classification of Valid Historical Data An Incremental Approach Based on MDD. 1914-1923 - Chia-Wei Tang, Chao-Lin Liu, Po-Sen Chiu:
HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents. 1924-1930 - William Underwood:
Automatic Extraction of Dublin Core Metadata from Presidential E-records. 1931-1938 - Weijia Xu, Maria Esteva, Peter Cui, Eugene Castillo, Kewen Wang, Hanna Robbins Hopkins, Tanya E. Clement, Aaron Choate, Ruizhu Huang:
A Study of Spoken Audio Processing using Machine Learning for Libraries, Archives and Museums (LAM). 1939-1948 - Zhanyuan Yin, Lizhou Fan, Huizi Yu, Anne J. Gilliland:
Using a Three-step Social Media Similarity (TSMS) Mapping Method to Analyze Controversial Speech Relating to COVID-19 in Twitter Collections. 1949-1953 - Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou:
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud. 1954-1963 - Manisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe:
Operator as a Service: Stateful Serverless Complex Event Processing. 1964-1973 - Mark Lukas Möller, Meike Klettke, Uta Störl:
EvoBench - A Framework for Benchmarking Schema Evolution in NoSQL. 1974-1984 - Sivam Pasupathipillai, Emanuele Della Valle:
Approximate Distance-based Anomaly Detection at Massive Scale. 1985-1991 - Yusuke Tanimura, Shin'ichiro Takizawa, Hirotaka Ogawa, Takahiro Hamanishi:
Building and Evaluation of Cloud Storage and Datasets Services on AI and HPC Converged Infrastructure. 1992-2001 - Xikui Wang, Michael J. Carey, Vassilis J. Tsotras:
Bridging BAD Islands: Declarative Data Sharing at Scale. 2002-2011 - Darlan Arruda, Rodrigo Laigner:
Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study. 2012-2019 - Iva Krasteva, Sylvia Ilieva:
Adopting Agile Software Development Methodologies in Big Data Projects - a Systematic Literature Review of Experience Reports. 2028-2033 - Mary Quinn, Blake Piper, James P. Bliss, David Keever:
Recommended Methods for Using the 2020 NIST Principles for AI Explainability. 2034-2037 - Jeffrey S. Saltz, Nicholas Hotz:
Identifying the most Common Frameworks Data Science Teams Use to Structure and Coordinate their Projects. 2038-2042 - Pablo Suárez-Otero, Michael J. Mior, María José Suárez-Cabal, Javier Tuya:
Maintaining NoSQL Database Quality During Conceptual Model Evolution. 2043-2048 - Yasin Uygun, Ramazan Faruk Oguz, Erdi Olmezogullari, Mehmet S. Aktas:
On the Large-scale Graph Data Processing for User Interface Testing in Big Data Science Projects. 2049-2056 - Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones:
Predicting Emotions Perceived from Sounds. 2057-2064 - Shuvalaxmi Dass, Akbar Siami Namin:
A Sensitivity Analysis of Evolutionary Algorithms in Generating Secure Configurations. 2065-2072 - Prerit Datta, Natalie R. Lodinger, Akbar Siami Namin, Keith S. Jones:
Predicting Consequences of Cyber-Attacks. 2073-2078 - Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic. 2079-2086 - Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones:
Email Embeddings for Phishing Detection. 2087-2092 - Hal Ashton:
AI Legal Counsel to train and regulate legally constrained Autonomous systems. 2093-2098 - Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou:
An Architecture for Extracting Key Elements from Legal Permits. 2105-2110 - Chiara Gallese, Elena Falletti, Marco S. Nobile, Lucrezia Ferrario, Fabrizio Schettini, Emanuela Foglia:
Preventing litigation with a predictive model of COVID-19 ICUs occupancy. 2111-2116 - Andrew Gargett, Rob Firth, Nikolaos Aletras:
LegalOps: A Summarization Corpus of Legal Opinions. 2117-2120 - Ilana Golbin, Anand S. Rao, Ali Hadjarian, Daniel Krittman:
Responsible AI: A Primer for the Legal Community. 2121-2126 - Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye:
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. 2127-2130 - Alfredo Montelongo, João Luiz Becker:
A bibliometric network analysis of Deep Learning publications applied into legal documents. 2131-2138 - Shohreh Shaghaghian, Luna Yue Feng, Borna Jafarpour, Nicolai Pogrebnyakov:
Customizing Contextualized Language Models for Legal Document Reviews. 2139-2148 - Fuqi Song, Éric de la Clergerie:
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts. 2149-2152 - Mingwei Tang, Cui Su, Haihua Chen, Jingye Qu, Junhua Ding:
SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph. 2153-2159 - Steven A. Wright:
AI in the Law: Towards Assessing Ethical Risks. 2160-2169 - Dihia Boulegane, Albert Bifet, Haytham Elghazel, Giyyarpuram Madhusudan:
Streaming Time Series Forecasting using Multi-Target Regression with Dynamic Ensemble Selection. 2170-2179 - Alejandro E. González, Emmanuel Arzuaga:
HerdMonitor: Monitoring Live Migrating Containers in Cloud Environments. 2180-2189 - Samuele Langhi, Riccardo Tommasini, Emanuele Della Valle:
Extending Kafka Streams for Complex Event Recognition. 2190-2197 - Yuta Morisawa, Masaki Suzuki, Takeshi Kitahara:
Flexible Executor Allocation without Latency Increase for Stream Processing in Apache Spark. 2198-2206 - Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor:
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. 2207-2216 - Kevin Styp-Rekowski, Florian Schmidt, Odej Kao:
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. 2217-2222 - Quangtri Thai, Carlos Ordonez, Omprakash Gnawali:
Monitoring Networks with Queries Evaluated by Edge Computing. 2223-2231 - Victor Adewopo, Bilal Gonen, Festus Adewopo:
Exploring Open Source Information for Cyber Threat Intelligence. 2232-2241 - Sergii Banin, Geir Olav Dyrkolbotn:
Detection of Previously Unseen Malware using Memory Access Patterns Recorded Before the Entry Point. 2242-2253 - Louise Beltzung, Andrew Lindley, Olivia Dinica, Nadin Hermann, Raphaela Lindner:
Real-Time Detection of Fake-Shops through Machine Learning. 2254-2263 - Lukas Daubner, Martin Macák, Barbora Buhnova, Tomás Pitner:
Towards verifiable evidence generation in forensic-ready systems. 2264-2269 - Nnaemeka Ekwunife:
National Security Intelligence through Social Network Data Mining. 2270-2273 - Masoud Erfani, Farzaneh Shoeleh, Ali A. Ghorbani:
Financial Fraud Detection using Deep Support Vector Data Description. 2274-2282 - Asif Iqbal, Johannes Olegård, Ranjana Ghimire, Shirin Jamshir, Andrii Shalaginov:
Smart Home Forensics: An Exploratory Study on Smart Plug Forensic Analysis. 2283-2290 - Moumita Kamal, Douglas A. Talbert:
Toward Never-Ending Learner for Malware Analysis (NELMA). 2291-2298 - Linn-Mari Kristiansen, Vinti Agarwal, Katrin Franke, Raj Sanjay Shah:
CTI-Twitter: Gathering Cyber Threat Intelligence from Twitter using Integrated Supervised and Unsupervised Learning. 2299-2308 - Yogesh Kulkarni, Anurag Gorkar:
Intensive Image Malware Analysis and Least Significant Bit Matching Steganalysis. 2309-2317 - Selim Ozcan, Merve Astekin, Narasimha K. Shashidhar, Bing Zhou:
Centrality and Scalability Analysis on Distributed Graph of Large-Scale E-mail Dataset for Digital Forensics. 2318-2327 - Andrii Shalaginov, Marina Shalaginova, Aleksandar Jevremovic, Marko Krstic:
Modern Cybercrime Investigation: Technological Advancement of Smart Devices and Legal Aspects of Corresponding Digital Transformation. 2328-2332 - Johnathan Tai, Izzat Alsmadi, Yunpeng Zhang, Fengxiang Qiao:
Machine Learning Methods for Anomaly Detection in Industrial Control Systems. 2333-2339 - Nitu Kedarmal Choudhary, Sai Sree Laya Chukkapalli, Sudip Mittal, Maanak Gupta, Mahmoud Abdelsalam, Anupam Joshi:
YieldPredict: A Crop Yield Prediction Framework for Smart Farms. 2340-2349 - Deepti Gupta, Paras Bhatt, Smriti Bhatt:
A Game Theoretic Analysis for Cooperative Smart Farming. 2350-2359 - Charles A. Robinson, Brandon T. Nieman, Robert Craven, Muhammad Enagi Bima, Charles W. Van Neste:
Development of A Wireless Power Transmission System for Agriculture Sensor Devices. 2360-2364 - Pedro V. Hernandez Serrano, Lina Altenburg, Parveen Kumar:
An exploratory analysis on Agritech policies, innovations and funding for climate change mitigation. 2365-2370 - Johnson Wong, Hao Sha, Mohammad Al Hasan, George O. Mohler, Steve Becker, Curtis Wiltse:
Automated Corn Ear Height Prediction Using Video-Based Deep Learning. 2371-2374 - Chandrasekar Vuppalapati, Anitha Ilapakurti, Karthik Chillara, Sharat Kedari, Vanaja Mamidi:
Automating Tiny ML Intelligent Sensors DevOPS Using Microsoft Azure. 2375-2384 - Rahma A. Alzahrani, Simon J. Herko, John M. Easton:
Blockchain Application in Remote Condition Monitoring. 2385-2394 - Hang Gong, Peishun Liu:
High Beam Detection Method Based on Deep Learning. 2395-2400 - Ramkumar Harikrishnakumar, Sima Esfandiarpour Borujeni, Alok Dand, Saideep Nannapaneni:
A Quantum Bayesian Approach for Bike Sharing Demand Prediction. 2401-2409 - Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
From Spatial-Temporal Cluster Relationships to Lifecycles: Framework and Mobility Applications. 2410-2415 - Nikodimos Provatas, Evdokia Kassela, Nikolaos Chalvantzis, Anastasios Bakogiannis, Ioannis Giannakopoulos, Nectarios Koziris, Ioannis Konstantinou:
SELIS BDA: Big Data Analytics for the Logistics Domain. 2416-2425 - Ramyar Saeedi, Malarvizhi Sankaranarayanasamy, Rahul Vishwakarma, Prasun Singh, Ravigopal Vennelakanti:
Towards Modular Modeling and Analytic for Multi-Modal Transportation Networks. 2426-2432 - Alexander Suleykin, Peter Panfilov:
Metadata-Driven Industrial-Grade ETL System. 2433-2442 - Toyotaro Suzumura, Hiroki Kanezashi, Mishal Dholakia, Euma Ishii, Sergio Álvarez-Napagao, Raquel Pérez-Arnal, Dario Garcia-Gasulla:
The Impact of COVID-19 on Flight Networks. 2443-2452 - Edivaldo Pastori Valentini, Rodolfo Ipolito Meneguette, Adil Alsuhaim:
An Attacks Detection Mechanism for Intelligent Transport System. 2453-2461 - Jared Vanderwees, Ahmed Lasisi, Jonathan Regehr:
Algorithm-centered Approach to Improve Track Performance Monitoring with Rail Profile Data. 2462-2471 - Niyati R. Darji, Samuel A. Ajila:
Increasing Prediction Accuracy for Human Activity Recognition Using Optimized Hyperparameters. 2472-2481 - Sagnik De, Wojciech M. Golab:
Energy-Efficient Energy Analytics Using a General Purpose Graphics Processing Unit. 2482-2491 - Simon Pierre Dembele, Ladjel Bellatreche, Carlos Ordonez:
Towards Green Query Processing - Auditing Power Before Deploying. 2492-2501 - Jianbin Li, Suwan Fang, Yuqi Ren, KunChang Li, Mingyu Sun:
SWVBiL-CRF: Selectable Word Vectors-based BiLSTM-CRF Power Defect Text Named Entity Recognition. 2502-2507 - Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. 2508-2512 - Joseph A. Cottam, Natalie C. Heller, Christopher L. Ebsch, Rahul Deshmukh, Patrick Mackey, George Chin:
Evaluation of Alignment: Precision, Recall, Weighting and Limitations. 2513-2519 - Christopher L. Ebsch, Joseph A. Cottam, Natalie C. Heller, Rahul D. Deshmukh, George Chin:
Using Graph Edit Distance for Noisy Subgraph Matching of Semantic Property Graphs. 2520-2525 - James Flamino, Christopher Abriola, Benjamin Zimmerman, Zhongheng Li, Joel Douglas:
Robust and Scalable Entity Alignment in Big Data. 2526-2533 - Mikel Joaristi, Sumit Purohit, Rahul Deshmukh, George Chin:
Data-Driven Template Discovery Using Graph Convolutional Neural Networks. 2534-2538 - Alexei Kopylov, Jiejun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu:
Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs. 2539-2545 - Miquette Orren, Patrick Mackey, Natalie C. Heller, George Chin:
Multi-Channel Entity Alignment via Name Uniqueness Estimation. 2546-2552 - Chau Pham, Vung Pham, Tommy Dang:
Graph Adversarial Attacks and Defense: An Empirical Study on Citation Graph. 2553-2562 - Stefano Z. Stamato, Andrew J. Park:
Static and Dynamic Social Network Models for the Analysis of Transshipment in Illegal Fishing. 2563-2568 - Thomas K. Tu, Dominic Yang:
Fault-tolerant Subgraph Matching on Aligned Networks. 2569-2574 - Thomas K. Tu, Jacob D. Moorman, Dominic Yang, Qinyi Chen, Andrea L. Bertozzi:
Inexact Attributed Subgraph Matching. 2575-2582 - Yibo Chen, Xing Xiang, Xiao Ling, Xiangchi Zhang, Fan Wu, Jianliang Gao:
Dynamic Load Balance for Hot-spot and Unbalance Region Problems in HBase. 2583-2589 - Zhixuan Zhou, Zhijie Qiu, Qiang Yu, Hong Chen:
A Dynamic Sharding Protocol Design for Consortium Blockchains. 2590-2595 - Soham Dasgupta, Aritran Piplai, Anantaa Kotal, Anupam Joshi:
A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity. 2596-2604 - William W. Lidster, Shawon S. M. Rahman:
Identifying Influences to Information Security Framework Adoption: Applying a Modified UTAUT. 2605-2609 - Derek Lin, Anying Li, Ryan Foltz:
BEAM: An Anomaly-Based Threat Detection System for Enterprise Multi-Domain Data. 2610-2618 - Meetkumar J. Patel, Mohammad I Husain:
An Approach to Developing EEG-Based Person Authentication System. 2619-2625 - Aritran Piplai, Priyanka Ranade, Anantaa Kotal, Sudip Mittal, Sandeep Nair Narayanan, Anupam Joshi:
Using Knowledge Graphs and Reinforcement Learning for Malware Analysis. 2626-2633 - Bhavani Thuraisingham:
Data Science, COVID-19 Pandemic, Privacy and Civil Liberties. 2634-2638 - Farah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt:
Accelerating Text Mining Using Domain-Specific Stop Word Lists. 2639-2648 - Hsing-bung Chen, Sihai Tang, Song Fu:
A middle-ware approach to leverage the distributed data de-duplication capability on HPC and Cloud storage systems. 2649-2653 - Megan Hickman Fulp, Ayan Biswas, Jon C. Calhoun:
Combining Spatial and Temporal Properties for Improvements in Data Reduction. 2654-2663 - Kelly Geyer, Frederick Campbell, Andersen Chang, John F. Magnotti, Michael S. Beauchamp, Genevera I. Allen:
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data. 2664-2673 - William F. Godoy, Peter F. Peterson, Steven E. Hahn, Jay Jay Billings:
Efficient Data Management in Neutron Scattering Data Reduction Workflows at ORNL. 2674-2680 - Nicholas O. Malott, Aaron M. Sens, Philip A. Wilsey:
Topology Preserving Data Reduction for Computing Persistent Homology. 2681-2690 - Niranda Perera, Vibhatha Abeykoon, Chathura Widanage, Supun Kamburugamuve, Thejaka Amila Kanewala, Pulasthi Wickramasinghe, Ahmet Uyar, Hasara Maithree, Damitha Lenadora, Geoffrey C. Fox:
A Fast, Scalable, Universal Approach For Distributed Data Aggregations. 2691-2698 - Alexander Pinard, Dorit M. Hammerling, Allison H. Baker:
Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package. 2699-2707 - Baodi Shan, Aabid Shamji, Jiannan Tian, Guanpeng Li, Dingwen Tao:
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs. 2708-2715 - Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello:
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. 2716-2724 - John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough:
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. 2725-2734 - Wanghu Chen, Huijun Li, Jing Li, Ali Arshad:
Autoencoder-based outlier detection for sparse, high dimensional data. 2735-2742 - Otoniel José Campos Escobar, Dimitar Misev, Peter Baumann:
Making an Array Database Language Server-Side Extensible. 2743-2750 - Alex Kaplunovich, Yelena Yesha:
Automatic Tuning of Hyperparameters for Neural Networks in Serverless Cloud. 2751-2756 - Shruti Kunde, Amey Pandit, Rekha Singhal:
Benchmarking performance of RaySGD and Horovod for big data applications. 2757-2762 - Ishaan Lagwankar, Ananth Narayan Sankaranarayanan, Subramaniam Kalambur:
Impact of Map-Reduce framework on Hadoop and Spark MR Application Performance. 2763-2772 - Adriano Lange, Tiago Rodrigo Kepe, Eduardo Cunha de Almeida, Marcos Sfair Sunye:
Uncovering Performance Interference of Multi-Tenants in Big Data Environments. 2773-2778 - Zhantong Liang, Abdou Youssef:
Performance Benchmarking of Automated Sentence Denoising using Deep Learning. 2779-2784 - Yuhui Lin, Adam Barker, Sheriffo Ceesay:
Exploring Characteristics of Inter-cluster Machines and Cloud Applications on Google Clusters. 2785-2794 - Zheyu Lin, Xukun Chen, Hanyu Zhao, Yunteng Luan, Zhi Yang, Yafei Dai:
A Topology-Aware Performance Prediction Model for Distributed Deep Learning on GPU Clusters. 2795-2801 - Tomás F. Llano-Ríos, Mohamed Khalefa, Antonio Badia:
Evaluating NoSQL Systems for Decision Support: An Experimental Approach. 2802-2811 - Amogh Margoor, Mayur Bhosale:
Improving Join Reordering for Large Scale Distributed Computing. 2812-2819 - Samson Oni, Kajal Pansare, Sukrit Singh Arneja, Zhiyuan Chen, Adina Crainiceanu, Don Needham:
RDFINT: A Benchmark for Comparing Data Warehouse with Virtual Integration Approaches for Integration of RDF Data. 2820-2826 - Carlos Ordonez, Sikder Tahsin Al-Amin, Xiantian Zhou:
A Simple Low Cost Parallel Architecture for Big Data Analytics. 2827-2832 - Yifan Tian, Michael J. Carey, Ian Maxon:
Benchmarking HOAP for Scalable Document Data Management: A First Step. 2833-2842 - Linhua Wang, Prem Timsina, Gaurav Pandey:
Computational performance of heterogeneous ensemble frameworks on high-performance computing platforms. 2843-2850 - Jonathan Will, Jonathan Bader, Lauritz Thamsen:
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. 2851-2856 - Alvin Alaphat, Meng Jiang:
SmartFund: Predicting Research Outcomes with Machine Learning and Natural Language Processing. 2857-2865 - Brian Cho, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, Kesheng Wu:
Effective Missing Value Imputation Methods for Building Monitoring Data. 2866-2875 - António Correia, Shoaib Jameel, Daniel Schneider, Hugo Paredes, Benjamim Fonseca:
A Workflow-Based Methodological Framework for Hybrid Human-AI Enabled Scientometrics. 2876-2883 - Pravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee:
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems. 2884-2890 - Stefano Di Frischia, Paolo Giammatteo, Federico Angelini, Valeria Spizzichino, Elena De Santis, Luigi Pomante:
Enhanced Data Augmentation using GANs for Raman Spectra Classification. 2891-2898 - Ohyung Kwon, Nayeon Lee, Kangil Kim:
Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipment. 2903-2906 - Othmane Latreche, Doulkifli Boukraâ:
Self-Service, On-Demand Creation of OLAP Cubes over Big Data: a Metadata-Driven Approach. 2907-2914 - David Tatis, Heidy Sierra, Emmanuel Arzuaga:
Residual Neural Network Architectures to Improve Prediction Accuracy of Properties of Materials. 2915-2918 - Richard Valente, Alissa Ostapenko, Bryer C. Sousa, Jack Grubbs, Christopher J. Massar, Danielle L. Cote, Rodica Neamtu:
Classifying Powder Flowability for Cold Spray Additive Manufacturing Using Machine Learning. 2919-2928 - Biao Yin, Thomas A. Considine, Fatemeh Emdad, John V. Kelley, Robert E. Jensen, Elke A. Rundensteiner:
Corrosion Assessment: Data Mining for Quantifying Associations between Indoor Accelerated and Outdoor Natural Tests. 2929-2936 - Taha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya:
Understanding Coarsening for Embedding Large-Scale Graphs. 2937-2946 - William Eberle, Lawrence Holder:
Graph Filtering to Remove the "Middle Ground" for Anomaly Detection. 2947-2956 - Justin Gilroy, Satine Paronyan, Jonathan Acoltzi, Munehiro Fukuda:
Agent-Navigable Dynamic Graph Construction and Visualization over Distributed Memory. 2957-2966 - Christopher D. Rickett, Kristyn J. Maschhoff, Sreenivas R. Sukumar:
Massively Parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug Repurposing. 2967-2976 - Damitha Senevirathne, Isuru Wijesiri, Suchitha Dehigaspitiya, Miyuru Dayarathna, Sanath Jayasena, Toyotaro Suzumura:
Memory Efficient Graph Convolutional Network based Distributed Link Prediction. 2977-2986 - Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia:
Graph Force Learning. 2987-2994 - Kexuan Sun, Shudan Zhong, Hong Xu:
Learning Embeddings of Directed Networks with Text-Associated Nodes - with Application in Software Package Dependency Networks. 2995-3004 - Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
Relational Graph Embeddings for Table Retrieval. 3005-3014 - Alok Tripathy, Oded Green:
Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest Path. 3015-3024 - Yuting Xie, Tingjian Ge, Cindy X. Chen:
Retrieving Entities from Knowledge Graphs without Knowing Much: On Learning Generalizable Patterns and Indexing. 3025-3034 - Icaro Alzuru, Andréa M. Matsunaga, Maurício O. Tsugawa, José A. B. Fortes:
General Self-aware Information Extraction from Labels of Biological Collections. 3035-3044 - Shubhi Asthana, Shikhar Kwatra, Christine T. Wolf, Pawan Chowdhary, Taiga Nakamura:
Human-in-the-Loop Business Modelling for Emergent External Factors. 3045-3051 - Nikolas Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams:
Predicting Skill Shortages in Labor Markets: A Machine Learning Approach. 3052-3061 - Munenari Inoguchi, Keiko Tamura, Kousuke Uo, Masaki Kobayashi:
Validation of CyborgCrowd Implementation Possibility for Situation Awareness in Urgent Disaster Response -Case Study of International Disaster Response in 2019-. 3062-3071 - Laura H. Kahn, Onur Savas, Adamma Morrison, Kelsey A. Shaffer, Lila Zapata:
Modelling Hybrid Human-Artificial Intelligence Cooperation: A Call Center Customer Service Case Study. 3072-3075 - Seungun Kim, Masaki Matsubara, Atsuyuki Morishima:
Analysis of Hand-drawn Maps of Places in Natural Disaster Pictures. 3076-3078 - Conor Morgan, Iulia Paun, Nikos Ntarmos:
Exploring Contextual Paradigms in Context-Aware Recommendations. 3079-3084 - Takafumi Suzuki, Satoshi Oyama, Masahito Kurihara:
A Framework for Recommendation Algorithms Using Knowledge Graph and Random Walk Methods. 3085-3087 - Hisatoshi Toriya, Ashraf M. Dewan, Itaru Kitahara:
Adaptive Image Scaling for Corresponding Points Matching between Images with Differing Spatial Resolutions. 3088-3095 - Hikaru Uchida, Masaki Matsubara, Kei Wakabayashi, Atsuyuki Morishima:
Human-in-the-loop Approach towards Dual Process AI Decisions. 3096-3098 - Vijaya Kumari Yeruva, Mayanka Chandrashekar, Yugyung Lee, Jeff Rydberg-Cox, Virginia Blanton, Nathan A. Oyler:
Interpretation of Sentiment Analysis with Human-in-the-Loop. 3099-3108 - Zainab Abbas, Paolo Sottovia, Mohamad Al Hajj Hassan, Daniele Foroni, Stefano Bortoli:
Real-time Traffic Jam Detection and Congestion Reduction Using Streaming Graph Analytics. 3109-3118 - Daniel R. Harris:
Leveraging Differential Privacy in Geospatial Analyses of Standardized Healthcare Data. 3119-3122 - Georg Heiler, Tobias Reisch, Jan Hurt, Mohammad Forghani, Aida Omani, Allan Hanbury, Farid Karimipour:
Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 Pandemic. 3123-3132 - Qinghe Liu, Zhicheng Liu, Yinfei Xu, Weiting Xiong, Junyan Yang, Qiao Wang:
Toward Identifying the Urban Community Structure from Population Flow and Public Services Distribution. 3133-3142 - Takanobu Omura, Kenta Suzuki, Panote Siriaraya, Mohit Mittal, Yukiko Kawai, Shinsuke Nakajima:
Ad Recommendation utilizing user behavior in the physical space to represent their latent interest. 3143-3146 - Ryotaro Tsukada, Haosen Zhan, Shonosuke Ishiwatari, Masashi Toyoda, Kazutoshi Umemoto, Haichuan Shang, Koji Zettsu:
Crowd Forecasting at Venues with Microblog Posts Referring to Future Events. 3147-3155 - Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan:
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. 3156-3164 - Glaucia Melo dos Santos, Edith Law, Paulo S. C. Alencar, Donald D. Cowan:
Understanding User Understanding: What do Developers Expect from a Cognitive Assistant? 3165-3172 - Erdi Olmezogullari, Mehmet S. Aktas:
Representation of Click-Stream DataSequences for Learning User Navigational Behavior by Using Embeddings. 3173-3179 - Stefano Fiorini, Giorgio Pilotti, Michele Ciavotta, Andrea Maurino:
3D-CLoST: A CNN-LSTM Approach for Mobility Dynamics Prediction in Smart Cities. 3180-3189 - Lorenzo Goglia, Eugenio Zimeo:
Contact-Tracing based on Time-Varying Graphs Analysis. 3190-3198 - Samira Khorshidi, Jeremy G. Carter, George O. Mohler:
Repurposing recidivism models for forecasting police officer use of force. 3199-3203 - Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang:
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. 3204-3211 - Jack Olinde, Martin B. Short:
A Self-limiting Hawkes Process: Interpretation, Estimation, and Use in Crime Modeling. 3212-3219 - Nijhum Paul, Swapna S. Gokhale:
Analysis and Classification of Vaccine Dialogue in the Coronavirus Era. 3220-3227 - Hao Sha, Mohammad Al Hasan, Jeremy G. Carter, George O. Mohler:
Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization. 3228-3236 - Sian Wen, Andy Chen, Tanishq Bhatia, Nicholas Liskij, David Hyde, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory. 3237-3245 - Ruofei Wu, Chenxin Yang, David Hyde, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Emotion Classification and Textual Clustering Techniques for Gang Intervention Data. 3246-3254 - Ahmed Alhussen, Engin Arslan:
RIVAChain: Blockchain-based Integrity Verification for File Transfers. 3255-3261 - Ioanna Karageorgou, Panagiotis Liakos, Alex Delis:
A Sentiment Analysis Service Platform for Streamed Multilingual Tweets. 3262-3271 - Juan Lin, Hui Zhang:
Data Structure Visualization on the Web. 3272-3279 - Jack Rager, Fang (Cherry) Liu:
Facilitating the HPC Data Center Host efficiency through Big Data Analytics. 3280-3287 - Guangchen Ruan, Hui Zhang, Esen Tuna, Eric A. Wernert:
Service Provisioning through High Level, Complexity Hiding Interfaces. 3288-3294 - Babak Samani, Saeideh Samani, Haishun Yang, Hongfeng Yu:
Uncertainty Analysis and Visualization for Nitrogen Leaching with the Maize-N Model. 3295-3303 - Anders Skretting, Tor-Morten Grønli:
Baseline for Performance Prediction of Android Applications. 3304-3310 - Huaxiong Yao, Yang Huang, Jiabei Hu, Wenqi Xie:
Cosine similarity distance pruning algorithm Based on graph attention mechanism. 3311-3318 - Yanlu Cai, Yuqing Li, Runyu Peng, Yipei Xu, Chenzhe Jin, Cheng Jin:
Look into Multi-Person: A New Benchmark for Pose Estimation and Human Parsing. 3319-3324 - Anqi Rong, Li Zhao, Pengcheng Huang, Jiawei Xu:
Self-calibrated Attention Residual Network for Image Super-Resolution. 3325-3332 - Mengqing Sun, Li Zhao, Jingjing Zheng, Jiawei Xu:
A Nonlocal Denoising Framework Based on Tensor Robust Principal Component Analysis with ℓp norm. 3333-3340 - Weilin Wan, Bingyu Tang, Ziheng Sun, Haochen Ye:
Design of Fine-grained Plant Dataset and A Plant Image Acquisition Tool. 3341-3346 - Shengping Wang, Li Zhao, Runhua Jiang, Pengcheng Huang, Jiawei Xu:
Feature Fusion Based on Sparse Block for Image Super-resolution. 3347-3354 - Yuan Wu, Haoyue Qiu, Jing Wen, Rui Feng:
OSD: An Occlusion Skeleton Dataset for Action Recognition. 3355-3360 - Xinxia Zhang, Xiaoqin Zhang, Li Zhao, Runhua Jiang, Pengcheng Huang, Jiawei Xu:
Multi-level Feature Fusion Network for Single Image Super-Resolution. 3361-3368 - Shangping Zhao, Pan Liu, Guanxiu Tang, Yanming Guo, Guohui Li:
Development and Application of an Intensive Care Medical Data Set for Deep Learning. 3369-3373 - Zhao Zhou, Hao Ye, Luhui Chen, Yingbin Zheng:
Detecting Curve Text with Local Segmentation Network and Curve Connection. 3374-3379 - Wengang Zhou, Chaoqun Hong, Xiaodong Wang, Zhiqiang Zeng:
FSRGAN-DB: Super-resolution Reconstruction Based on Facial Prior Knowledge. 3380-3386 - Catherine Inibhunu, Carolyn McGregor:
Edge Computing with Big Data Cloud Architecture: A Case Study in Smart Building. 3387-3393 - Quoc H. Nguyen, Quang Dang, Chuan Pham, Tien-Dung Nguyen, Hang Nguyen, Arveity Setty, Trung-Quôc Le:
Developing an Architecture for IoT Interoperability in Healthcare: A Case Study of Real-time SpO2 Signal Monitoring and Analysis. 3394-3403 - Christian Prehofer, Shafqat Mehmood:
Big Data Architectures for Vehicle Data Analysis. 3404-3412 - Shalmoli Ghosh, Janardan Misra, Saptarshi Ghosh, Sanjay Podder:
Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention. 3413-3422 - Saqib Hakak, Suprio Ray, Wazir Zada Khan, Erik J. Scheme:
A Framework for Edge-Assisted Healthcare Data Analytics using Federated Learning. 3423-3427 - Sana Imtiaz, Sonia-Florina Horchidan, Zainab Abbas, Muhammad Arsalan, Hassan Nazeer Chaudhry, Vladimir Vlassov:
Privacy Preserving Time-Series Forecasting of User Health Data Streams. 3428-3437 - Zhenhe Pan, Hoang Long Nguyen, Hashim Abu-gellban, Yuanlin Zhang:
Google Trends Analysis of COVID-19 Pandemic. 3438-3446 - Zhou Yang, Zhenhe Pan, Sisheng Liang, Fang Jin:
Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNet. 3447-3452 - Rina Akabane, Yuka Kato:
Pedestrian Trajectory Prediction Using Pre-trained Machine Learning Model for Human-Following Mobile Robot. 3453-3458 - Eyhab Al-Masri, James Olmsted:
Enhancing Resource Provisioning Across Edge-based Environments. 3459-3463 - Pratik Baniya, Gaurav Bajaj, Jerry Lee, Ardeshir Bastani, Clifton Francis, Mahima Agumbe Suresh:
Towards Policy-aware Edge Computing Architectures. 3464-3469 - Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao:
Towards AIOps in Edge Computing Environments. 3470-3475 - Kyungduck Cha, Carol Sadek, Zohreh Asgharzadeh:
Anomaly and Degradation Detection Using Subspace Tracking in Streaming Data. 3476-3481 - Guillaume Habault, Shinya Wada, Rui Kimura, Chihiro Ono:
Elucidating the extent by which population staying patterns help improve electricity load demand predictions. 3482-3487 - Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen:
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. 3488-3493 - Aekyeung Moon, Seung Woo Son, Jiuk Jung, Yun Jeong Song:
Understanding Bit-Error Trade-off of Transform-based Lossy Compression on Electrocardiogram Signals. 3494-3499 - Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan, Carlos Lucena:
A Reference Model for IoT Embodied Agents Controlled by Neural Networks. 3500-3505 - Sayed Khushal Shah, Zeenat Tariq, Jeehwan Lee, Yugyung Lee:
Real-Time Machine Learning for Air Quality and Environmental Noise Detection. 3506-3515 - Zeenat Tariq, Sayed Khushal Shah, Yugyung Lee:
Automatic Multimodal Heart Disease Classification using Phonocardiogram Signal. 3514-3521 - Amal Tawakuli, Daniel Kaiser, Thomas Engel:
Synchronized Preprocessing of Sensor Data. 3522-3531 - Balaje T. Thumati, Halasya Siva Subramania, Rajeev Shastri, Karthik Kalyana Kumar, Nicole Hessner, Vincent Villa, Aaron Page, David Followell:
Large-scale Data Integration for Facilities Analytics: Challenges and Opportunities. 3532-3538 - Chin-Wei Tien, Tse-Yung Huang, Ping Chun Chen, Jenq-Haur Wang:
Automatic Device Identification and Anomaly Detection with Machine Learning Techniques in Smart Factories. 3539-3544 - Minglu Zhao, Reo Furuhata, Mulya Agung, Hiroyuki Takizawa, Tomoya Soma:
Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection. 3545-3549 - Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic-Seljak, Tome Eftimov:
BuTTER: BidirecTional LSTM for Food Named-Entity Recognition. 3550-3556 - Bojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Barbara Korousic-Seljak:
APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources. 3557-3562 - Edwin Mitei, Thanaa M. Ghanem:
Leveraging Social Network Analysis to Explore Obesity Talks on Twitter. 3563-3572 - Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data. 3563-3572 - Nur Aini Rakhmawati, Ahmad Choirun Najib:
Discovering Entity Profiles Candidate for Entity Resolution on Linked Open Data Halal Food Products. 3583-3591 - Nina Resçiç, Tome Eftimov, Barbara Korousic-Seljak:
Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs. 3592-3595 - Riste Stojanov, Ilija Kocev, Sasho Gramatikov, Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov:
Toward Robust Food Ontology Mapping. 3596-3601 - Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis:
Approximate kNN Classification for Biomedical Data. 3602-3607 - Xinyu Chen, Ian Beaver, Cynthia Freeman:
Fine-Tuning Language Models For Semi-Supervised Text Mining. 3608-3617 - Georgios Drakopoulos, Ioanna Giannoukou, Phivos Mylonas, Spyros Sioutas:
A Graph Neural Network For Assessing The Affective Coherence Of Twitter Graphs. 3618-3627 - Aikaterini Karampasi, Ioannis Kakkos, Stavros Theofanis Miloulis, Ioannis Zorzos, Georgios N. Dimitrakopoulos, Kostakis Gkiatis, Panteleimon Asvestas, George K. Matsopoulos:
A Machine Learning fMRI Approach in the Diagnosis of Autism. 3628-3631 - Ivan Kyosev, Iulia Paun, Yashar Moshfeghi, Nikos Ntarmos:
Measuring Distances Among Graphs En Route To Graph Clustering. 3632-3641 - Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty:
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. 3642-3651 - Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González:
BeFair: Addressing Fairness in the Banking Sector. 3652-3661 - Pratyush Garg, John D. Villasenor, Virginia Foggo:
Fairness Metrics: A Comparative Analysis. 3662-3666 - Clément Henin, Daniel Le Métayer:
A Generic Framework for Black-box Explanations. 3667-3676 - Dean Frederick Hougen, Jin-Song Pei, Sai Teja Kanneganti:
Toward Interpretable Machine Learning for Understanding Epidemic Data. 3677-3681 - Yu Leo Lu, Chunming Wang:
Validation of an Alternative Neural Decision Tree. 3682-3691 - Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. 3692-3701 - Sudhir Aggarwal, Shiva Houshmand, Tathagata Mukherjee, James Parsons:
An Empirical Study on Efficiency of a Dictionary Based Viterbi Algorithm for Word Segmentation. 3702-3710 - Alycia N. Carey, Justin Zhan:
A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images. 3711-3720 - André Esteves, Vasco Ponciano, Ivan Miguel Pires:
Diseases identification with big data concept - The older people community. 3721-3726 - Daniel R. Harris, Christian Eisinger, Yanning Wang, Chris Delcher:
Challenges and Barriers in Applying Natural Language Processing to Medical Examiner Notes from Fatal Opioid Poisoning Cases. 3727-3736 - Jing Selena He, Meng Han, Lei Yu, Chao Mei:
Lung Pattern Classification Via DCNN. 3737-3743 - Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein, Joaquín Álvarez-Rodríguez:
Predicting Clinical Deterioration in Hospitals. 3744-3752 - Vipina Kuttichi Keloth, Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew J. Einstein, James Geller, Yehoshua Perl:
Mining Concepts for a COVID Interface Terminology for Annotation of EHRs. 3753-3760 - Xiong Liu, Luca A. Finelli, Greg L. Hersch, Iya Khalil:
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing. 3761-3766 - Vanja Ljevar, James Goulding, Gavin Smith:
Exploration of links between anxiety purchases, deprivation and personality traits. 3767-3774 - Sidharth Mahotra, Mengyu Wang, Tobias Elze, Michael V. Boland, Louis R. Pasquale, Juleke Majoor, Koen A. Vermeer, Chris Johnson, Kouros Nouri-Mahdavi, Hans G. Lemij, Michael H. Goldbaum, Siamak Yousefi:
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis. 3775-3782 - Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski:
Control and Prevention of Personal Stress. 3783-3785 - Pedro A. Moreno-Sánchez:
Features Importance to Improve Interpretability of Chronic Kidney Disease Early Diagnosis. 3786-3792 - Salome Oniani, Gonçalo Marques, Ivan Miguel Pires, Salome Muhkashavria, Nuno M. Garcia:
E-health and M-health applications in Georgia: A review on the free available applications for Android Devices. 3793-3796 - Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, Nuno M. Garcia:
Personal Digital Life Coach for Physical Therapy. 3797-3802 - Abrar Rahman, John Kriak, Rick Meyer, Sidney Goldblatt, Fuad Rahman:
A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN). 3803-3810 - Anuradha Rajkumar, Bruce Wallace, Laura Ault, Julien Larivière-Chartier, Frank Knoefel, Rafik Goubran, Jeff Kaye, Neil Thomas:
Visualizing Effects of COVID-19 Social Isolation with Residential Activity Big Data Sensor Data. 3811-3819 - Alex Salamun, Stephanie Duque, Praveen Madiraju:
Analyzing Adverse Event Signal Detection with Publicly Available Web Sources. 3820-3826 - Les Servi, Randy C. Paffenroth, Melanie Jutras, Deon Burchett:
Reducing Reporting Burden of Healthcare Data Using Robust Principal Component Analysis. 3827-3836 - YiJun Shao, Guy Divita, Terri Elizabeth Workman, Doug Redd, Jennifer H. Garvin, Qing Zeng-Treitler:
Clinical Sublanguage Trend and Usage Analysis from a Large Clinical Corpus. 3837-3845 - Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. 3846-3855 - Prosper Kandabongee Yeng, Muhammad Ali Fauzi, Bian Yang:
Comparative analysis of machine learning methods for analyzing security practice in electronic health records' logs. 3856-3866 - Amir Atapour Abarghouei, A. Stephen McGough, David S. Wall:
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing. 3867-3876 - Neelam S. Jogalekar, Vahida Attar, Girish K. Palshikar:
Rumor Detection on Social Networks: A Sociological Approach. 3877-3884 - Nikita Susan Joseph, Chaity Banerjee, Eduardo Pasiliao, Tathagata Mukherjee:
FlightSense: A Spoofer Detection and Aircraft Identification System using Raw ADS-B Data. 3885-3894 - Trevor M. Bajkowski, Grant J. Scott, J. Alex Hurt, Curt H. Davis:
Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery. 3895-3903 - Tashnim Chowdhury, Maryam Rahnemoonfar, Robin R. Murphy, Odair Fernandes:
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. 3904-3913 - J. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott:
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks. 3914-3923 - Ariane Maharaj, Thilanka Munasinghe:
Investigating the Relationship Between High-Latitude Dust and Precipitation. 3934-3942 - Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden:
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. 3943-3952 - Wei Zhang, Hongling Liu, Pengfei Li, Lei Han:
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting. 3953-3960 - Paula Branco:
Exploring the Impact of Resampling Methods for Malware Detection. 3961-3968 - Lavanya Elluri, Karuna Pande Joshi, Anantaa Kotal:
Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies. 3963-3978 - Michela Iezzi:
Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview. 3979-3988 - Takumi Ishiyama, Takuya Suzuki, Hayato Yamana:
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption. 3989-3995 - Nikhil Jha, Thomas Favale, Luca Vassio, Martino Trevisan, Marco Mellia:
z-anonymity: Zero-Delay Anonymization for Data Streams. 3996-4005 - Keshav Kasichainula, Hadi Mansourifar, Weidong Shi:
Privacy Preserving Proxy for Machine Learning as a Service. 4006-4015 - Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. 4016-4025 - Himanshu Makkar, Durga Toshniwal, Shalini Jangra:
Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and Scalability. 4026-4035 - Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, Sheikh Iqbal Ahamed, Sweta Sneha, Mohammad Ashiqur Rahman, Alfredo Cuzzocrea:
Actionable Knowledge Extraction Framework for COVID-19. 4036-4041 - Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Preserving Privacy of Temporal Big Data. 4042-4051 - Dabeeruddin Syed, Haitham Abu-Rub, Shady S. Refaat, Le Xie:
Detection of Energy Theft in Smart Grids using Electricity Consumption Patterns. 4059-4064 - Maxime Thouvenot, Olivier Curé, Philippe Calvez:
Knowledge Graph Anonymization using Semantic Anatomization. 4065-4074 - Redwan Walid, Karuna P. Joshi, Seung Geol Choi, Dae-young Kim:
Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryption. 4075-4082 - Sinan Yildirim, Kamer Kaya, Soner Aydin, Hakan Bugra Erentug:
Differentially Private Frequency Sketches for Intermittent Queries on Large Data Streams. 4083-4092 - Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao:
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. 4093-4102 - Jarrod Carson, Kane Hollingsworth, Rituparna Datta, George W. Clark, Aviv Segev:
A Hybrid Decision Tree-Neural Network (DT-NN) Model for Large-Scale Classification Problems. 4103-4111 - Suresh K. Choubey, Ryan Benton, Tom Johnsten:
Dynamic Thresholding Leading to Optimal Inventory Maintenance. 4112-4121 - Sam Heim, Jason Clemens, James Edward Steck, Christopher Basic, David Timmons, Kourtney Zwiener:
Predictive Maintenance on Aircraft and Applications with Digital Twin. 4122-4127 - Bruno P. Leao, Dmitriy Fradkin, Yubo Wang, Sindhu Suresh:
Big Data Processing for Power Grid Event Detection. 4128-4136 - Ivan Melendez-Vazquez, Rolando Dülling, Oliver Bringmann:
Multipath Temporal Convolutional Network for Remaining Useful Life Estimation. 4137-4146 - Hiroko Nagashima, Yuka Kato:
Method for Selecting a Data Imputation Model Based on Programming by Example for Data Analysts. 4147-4156 - Henry Roberts, Aviv Segev:
Animal Behavior Prediction with Long Short-Term Memory. 4157-4164 - Ali K. Abed, Rami Qahwaji:
An Application of the Deep Belief Networks to the prediction of massive Solar Flare Occurrence Using SDO/HMI Data. 4165-4174 - Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk:
A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms. 4175-4183 - Yang Chen, Anli Ji, Pavan Ajit Babajiyavar, Azim Ahmadzadeh, Rafal A. Angryk:
On The Effectiveness of Imaging of Time Series for Flare Forecasting Problem. 4184-4191 - Jonathan Ehrengruber, Martin Melchior:
Exploring Predictive Capabilities of GOES and SDO/EVE Data for Flare Forecasting. 4192-4199 - Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk:
Deep Neural Network-based Active Region Magnetogram Patch Super Resolution. 4200-4207 - Maxwell Hostetter, Rafal A. Angryk:
First Steps Toward Synthetic Sample Generation for Machine Learning Based Flare Forecasting. 4208-4217 - Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk:
All-Clear Flare Prediction Using Interval-based Time Series Classifiers. 4218-4225 - Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Ali Dehghantanha:
A Deep Recurrent Neural Network to Support Guidelines and Decision Making of Social Distancing. 4233-4240 - Tunazzina Islam, Dan Goldwasser:
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information. 4241-4249 - Vanja Ljevar, James Goulding, Alexa Spence, Gavin Smith:
Perception detection using Twitter. 4250-4256 - Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. 4257-4263 - Zhaohui Wang:
Contrast-resolution Evaluation of Fourier Based High Frame Rate Imaging. 4264-4269 - Terri Elizabeth Workman, Joseph L. Goulet, Cynthia Brandt, Melissa Skanderson, Rixin Wang, Allison R. Warren, Jacob Eleazer, Kirsha Gordon, Qing Zeng-Treitler:
A Prototype Application to Identify LGBT Patients in Clinical Notes. 4270-4275 - Jennifer Brooks, Abdou Youssef:
Discriminative Pattern Mining for Natural Language Metaphor Generation. 4276-4283 - Wyatt Green, Tom Johnsten, Ryan G. Benton:
TADS: Transformation of Anomalies in Data Streams. 4284-4292 - Mustafa Alassad, Muhammad Nihal Hussain, Nitin Agarwal:
How to Control Coronavirus Conspiracy Theories in Twitter? A Systems Thinking and Social Networks Modeling Approach. 4293-4299 - Alina Campan, Traian Marius Truta, Shawn Huesman, Celine Wardrop, Alyssa Appelman:
Collecting Domain-Relevant Tweets: Creation and Application of a New Framework. 4300-4307 - Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos, Ibad Kureshi:
Unveiling Ideological Trends Through Data Analytics to Construe National Security Instabilities. 4308-4317 - Courtney L. Crooks, Tom McNeil, Ben Sawyer, Matthew Canham, David Muchlinski:
Understanding Online Information Operations: Development of an Influence Network for Scientific Inquiry Testing Environment (INSITE). 4318-4324 - Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu:
Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation. 4325-4330 - Jonathan Schler, Elisheva Bonchek-Dokow, Tomer Vainstein, Moshe Gotam, Mike Teplitsky:
Profiling Astroturfing Facebook Users During Three Contiguous Israeli Election Periods. 4331-4340 - Dhara Shah, T. G. Harrison, Christopher B. Freas, David Maimon, Robert W. Harrison:
Illicit Activity Detection in Large-Scale Dark and Opaque Web Social Networks. 4341-4350 - Julia Thee, Izzat Alsmadi, Samer Al-khateeb:
Pro-ISIS Tweets Analysis Using Machine Learning Techniques. 4351-4358 - Minh Tran:
How biased are American media outlets? A framework for presentation bias regression. 4359-4364 - Fredrik Ahnve, Kasper Fantenberg, Gustav Svensson, Daniel Hardt:
Predicting Stock Price Movements with Text Data using Labeling based on Financial Theory. 4365-4372 - Nitish Bahadur, Randy C. Paffenroth:
Anomaly Detection in Exchange Traded Funds. 4373-4382 - Matthew Caron, Oliver Müller:
Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility. 4383-4391 - Md. Monir Hossain, Mark Sebestyen, Dhruv Mayank, Omid Ardakanian, Hamzeh Khazaei:
Large-scale Data-driven Segmentation of Banking Customers. 4392-4401 - Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough:
Exploring market power using deep reinforcement learning for intelligent bidding strategies. 4402-4411 - Priya Mehta, Ch. Sobhan Babu, S. V. Kasi Visweswara Rao, K. Sandeep Kumar:
DeepCatch: Predicting Return Defaulters in Taxation System using Example-Dependent Cost-Sensitive Deep Neural Networks. 4412-4419 - Daniele Montesi, Sarunas Girdzijauskas, Vladimir Vlassov:
Repeating Link Prediction over Dynamic Graphs. 4420-4428 - Matthias Murray, Arjuna Chala, Lili Xu, Roger Dev:
Large Scale Financial Filing Analysis on HPCC Systems. 4429-4436 - Sasha Strelnikoff, Aruna Jammalamadaka, Dana Warmsley:
Causal Maps for Multi-Document Summarization. 4437-4445 - Chengyuan Zhang, Fuxin Jiang, Shouyang Wang, Wei Shang:
A Novel Hybrid Approach with A Decomposition Method and The RVFL Model for Crude Oil Price Prediction. 4446-4449 - Savas Yildirim, Sebnem Günes Söyler, Özgür Akarsu:
Building A Non-Personalized Recommender System by Learning Product and Basket Representation. 4450-4455 - Teruaki Hayashi, Nao Uehara, Daisuke Hase, Yukio Ohsawa:
Data Requests and Scenarios for Data Design of Unobserved Events in Corona-related Confusion Using TEEDA. 4456-4461 - Mhd Irvan, Toshiyuki Nakata, Rie Shigetomi Yamaguchi:
User authentication based on smartphone application usage patterns through learning classifier systems. 4462-4466 - Hiroki Sakaji, Teruaki Hayashi, Kiyoshi Izumi, Yukio Ohsawa:
Verification of Data Similarity using Metadata on a Data Exchange Platform. 4467-4474 - Bin Wang, Teruaki Hayashi, Yukio Ohsawa:
Hierarchical Graph Convolutional Network for Data Evaluation of Dynamic Graphs. 4475-4481 - Ramoza Ahsan, Rodica Neamtu, Muzammil Bashir, Elke A. Rundensteiner, Gábor N. Sárközy:
Correlation-Based Analytics of Time Series Data. 4482-4491 - Betul Bayrak, Roya Choupani, Erdogan Dogdu:
Link Prediction in Knowledge Graphs with Numeric Triples Using Clustering. 4492-4498 - Idir Benouaret, Sihem Amer-Yahia:
A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total Customers. 4499-4508 - Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk:
Local Outlier Detection for Multi-type Spatio-temporal Trajectories. 4509-4518 - Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy:
Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings. 4519-4528 - Mustafa Çataltas, Sevcan Dogramaci, Semih Yumusak, Kasim Öztoprak:
Extraction of Product Defects and Opinions from Customer Reviews by Using Text Clustering and Sentiment Analysis. 4529-4534 - Neeraj Chavan, Katerina Potika:
Higher-order Link Prediction Using Triangle Embeddings. 4535-4544 - Zechuan Chen, Haomin Yu, Yangli-ao Geng, Qingyong Li, Yingjun Zhang:
EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction. 4545-4552 - Halil Ibrahim Dede, Cemile Timurkaan, Metehan Guzel, Suat Ozdemir:
A Novel Weighted FP-Stream Algorithm for IoT Data Streams. 4553-4558 - Mustafa Dogan, Ömer Metin, Elif Tek, Semih Yumusak, Kasim Öztoprak:
Speculator and Influencer Evaluation in Stock Market by Using Social Media. 4559-4566 - Dat Q. Duong, Quang M. Le, Tan-Loc Nguyen-Tai, Dong Bo, Dat Nguyen, Minh-Son Dao, Binh T. Nguyen:
Multi-source Machine Learning for AQI Estimation. 4567-4576 - Amit Garg, Nachiket Trivedi, Junlan Lu, Magdalini Eirinaki, Bin Yu, Femi G. Olumofin:
An evaluation of machine learning methods for domain name classification. 4577-4585 - Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk:
Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks. 4586-4593 - Felix Heine, Tim Laue, Carsten Kleiner:
On the Evaluation and Deployment of Machine Learning Approaches for Intrusion Detection. 4594-4603 - Sukhwan Jung, Rituparna Datta, Aviv Segev:
An Automatic Classification of the Primary and the Corresponding Authors in Research Articles. 4604-4612 - Yuksel Pelin Kilic, Duygu Dinc, Pinar Karagoz:
Named Entity Recognition on Morphologically Rich Language: Exploring the Performance of BERT with varying Training Levels. 4613-4619 - Kittichai Lavangnananda, Muhammad Aslam HemmatQachmas:
Finding Overlapping Clusters in a Highly Connected Graph from a Given Difference Density. 4620-4626 - Fucun Li, Ailing Yang, Huaming Chen, Geng Sun, Fang Wang, Yunzhou Xie, Jiaqi Li, Jun Shen:
Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks. 4627-4635 - Jessica Lourenco, Aparna S. Varde:
Item-Based Collaborative Filtering and Association Rules for a Baseline Recommender in E-Commerce. 4636-4645 - Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
A Real-Time Whole Page Personalization Framework for E-Commerce. 4646-4650 - Yi Mao, Yun Li, Jiatai Sun, Yixin Chen:
Explainable Software vulnerability detection based on Attention-based Bidirectional Recurrent Neural Networks. 4651-4656 - Yoshiki Matsune, Kota Tsubouchi, Nobuhiko Nishio:
ModelRecycling: Predicting user's interest with connected predictive models. 4657-4664 - Mahdi Naser-Moghadasi, Zohreh Safari, Yu Zhuang:
A Sentimental and Semantical Analysis on Facebook Comments to Detect Latent Patterns. 4665-4671 - Mahdi Naser-Moghadasi, Yu Zhuang:
Sent2Vec: A New Sentence Embedding Representation With Sentimental Semantic. 4672-4680 - Hamza Haruna Mohammed, Erdogan Dogdu, Abdül Kadir Görür, Roya Choupani:
Multi-Label Classification of Text Documents Using Deep Learning. 4681-4689 - Thankgod Obasi, M. Omair Shafiq:
An experimental study of different machine and deep learning techniques for classification of encrypted network traffic. 4690-4699 - Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava:
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases. 4700-4709 - Maharshi R. Pandya, Jessica Reyes, Bob Vanderheyden:
Method for Customizable Automated Tagging: Addressing the problem of over-tagging and under-tagging text documents. 4710-4714 - Wei Qiu, Yangsibo Huang, Quanzheng Li:
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. 4715-4723 - R. Uday Kiran, Sadanori Ito, Minh-Son Dao, Koji Zettsu, Cheng-Wei Wu, Yutaka Watanobe, Incheon Paik, Truong Cong Thang:
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. 4724-4733 - Buvaneswari Ramanan, Lawrence M. Drabeck, Thomas Woo, Troy Cauble, Anil Rana:
Recipe for Creating a Highly Accurate Wake Word Engine. 4734-4740 - Laura Rettig, Regula Hänggli, Philippe Cudré-Mauroux:
The Best of Both Worlds: Context-Powered Word Embedding Combinations for Longitudinal Text Analysis. 4741-4750 - Edward Schwalb:
Accelerated Evaluation of Autonomous Drivers using Neural Network Quantile Generators. 4751-4758 - Batihan Sener, Gokberk Serin, M. Ugur Gudelek, A. Murat Ozbayoglu, Hakki Özgür Ünver:
Intelligent Chatter Detection in Milling using Vibration Data Features and Deep Multi-Layer Perceptron. 4759-4768 - Yuri Gabriel Aragão da Silva, Diego Furtado Silva:
On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining. 4769-4778 - Li Sun, Haoqi Zhang, Songyang Zhang, Jiebo Luo:
Content-based Analysis of the Cultural Differences between TikTok and Douyin. 4779-4786 - Jinlong Ruan, Wei Wu, Jiebo Luo:
Stock Price Prediction Under Anomalous Circumstances. 4787-4794 - Chengxi Yan, Jun Wang:
Exploiting Hybrid Subword Information for Chinese Historical Named Entity Recognition. 4795-4801 - Neil Yeung, Jonathan Lai, Jiebo Luo:
Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemic. 4802-4810 - Mustafa Yildirim, Feyza Yildirim Okay, Suat Özdemir:
Sentiment Analysis for Turkish Unstructured Data by Machine Translation. 4811-4817 - Marcus Yong, Kwan Hui Lim:
Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis. 4818-4827 - Danfeng Zhao, Zhou Huang, Feng Zhou, Antonio Liotta, Dongmei Huang:
An Approximation Method for Large Graph Similarity. 4828-4835 - Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen:
Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text. 4836-4841 - Giuseppe Cuccu, Johan Jobin, Julien Clément, Akansha Bhardwaj, Carolin Reischauer, Harriet Thöny, Philippe Cudré-Mauroux:
Hydra: Cancer Detection Leveraging Multiple Heads and Heterogeneous Datasets. 4842-4849 - Nichole Etienne, Emmanuel Agu:
Investigating Transfer Learning of Smartphone-Sensed Stress in University Populations. 4850-4858 - Jinan Fiaidhi, Sabah Mohammed, Simon Fong:
Orchestration of Thick Data Analytics Based on Conversational Workflows in Healthcare Community of Practice. 4859-4865 - Maryam Sadat Hosseini, Alice Masterangelo Gittler:
Factors Influencing Human Mobility During The COVID-19 Pandemic in Selected Countries of Europe and North America. 4866-4872 - Divydharshini Karthikeyan, Aparna S. Varde, Weitian Wang:
Transfer learning for decision support in Covid-19 detection from a few images in big data. 4873-4881 - Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data. 4882-4891 - Sarah McDougall, Priyanka Annapureddy, Praveen Madiraju, Nicole Fumo, Stephen Hargarten:
Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning. 4892-4901 - Pedro A. Moreno-Sánchez:
Development of an Explainable Prediction Model of Heart Failure Survival by Using Ensemble Trees. 4902-4910 - Shreesha Narasimha Murthy, Florina Asani, Srinarayan Srikanthan, Emmanuel Agu:
DeepSEAS: Smartphone-based Early Ailment Sensing Using Coupled LSTM AutoEncoders. 4911-4918 - Haoran Niu, Olufemi A. Omitaomu, Qing C. Cao, Mohammed M. Olama, Özgür Özmen, Hilda B. Klasky, Laura Pullum, Addi Thakur Malviya, P. Teja Kuruganti, Jeanie M. Scott, Angela Laurio, Frank Drews, Brian C. Sauer, Merry Ward, Jonathan R. Nebeker:
Adaptive Anomaly Detection for Dynamic Clinical Event Sequences. 4919-4928 - Barry Nuqoba, Hwee-Pink Tan:
Prediction of Nocturia in Live Alone Elderly Using Unobtrusive In-Home Sensors. 4929-4937 - Mogens Graf Plessen:
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining. 4945-4954 - Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Raja Vuppalapati, Jaya Shankar Vuppalapati, Santosh Kedari:
Stratification of, albeit Mathematical Optimization and Artificial Intelligent (AI) Driven, High-Risk Elderly Outpatients for priority house call visits - a framework to transform healthcare services from reactive to preventive. 4955-4960 - Qifan Wang, Benjamin C. M. Fung, Patrick C. K. Hung:
DUGRA: Dual-Graph Representation Learning for Health Information Networks. 4961-4970 - Umar I. Abdullahi, Spyros Samothrakis, Maria Fasli:
Causal Inference with Correlation Alignment. 4971-4980 - Ankita Agarwal, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination. 4981-4987 - Youness Arjoune, Saleh Faruque:
Real-time Machine Learning Based on Hoeffding Decision Trees for Jamming Detection in 5G New Radio. 4988-4997 - Alec Austin, Ryan Benton:
Effects of Missing Members on Classifier Ensemble Accuracy. 4998-5006 - Tse-Wen Chen, Pangfeng Liu, Jan-Jan Wu:
Exploiting Data Entropy for Neural Network Compression. 5007-5016 - Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura:
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling. 5017-5026 - Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon:
Extendable and invertible manifold learning with geometry regularized autoencoders. 5027-5036 - Carlos A. Escobar, Jorge Arinez, Daniela Macias, Rubén Morales-Menéndez:
Learning with Missing Data. 5037-5045 - Mikhail Genkin:
Zero-Shot Machine Learning Technique for Classification of Multi-User Big Data Workloads. 5046-5055 - Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis:
A Streaming Machine Learning Framework for Online Aggression Detection on Twitter. 5056-5067 - Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray, Shlok Gondalia, Jerry Duggan, Michael G. Kahn:
An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data. 5068-5077 - Sukhwan Jung, Rituparna Datta, Aviv Segev:
Identification and Prediction of Emerging Topics through Their Relationships to Existing Topics. 5078-5087 - Pejman Khadivi:
Bag of Symbols for Time Series Distance Measurement and Applications. 5088-5097 - Oxana Korzh, Ashish Sharma, Mikel Joaristi, Edoardo Serra, Alfredo Cuzzocrea:
An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning. 5098-5107 - Chepuri Shri Krishna, Ashish Gupta, Swarnim Narayan, Himanshu Rai, Diksha Manchanda:
Hyper-parameter optimization with REINFORCE and Masked Attention Auto-regressive Density Estimators. 5108-5117 - Carson K. Leung, Yubo Chen, Calvin S. H. Hoi, Siyuan Shang, Alfredo Cuzzocrea:
Machine Learning and OLAP on Big COVID-19 Data. 5118-5127 - Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev:
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. 5128-5137 - Mihaela Malita, George-Vladut Popescu, Gheorghe M. Stefan:
Pseudo-Reconfigurable Heterogeneous Solution for Accelerating Spectral Clustering. 5138-5145 - Dong Quan Ngoc Nguyen, Lin Xing, Lizhen Lin:
Weight Prediction for Variants of Weighted Directed Networks. 5156-5163 - Shuteng Niu, Yihao Hu, Jian Wang, Yongxin Liu, Houbing Song:
Feature-based Distant Domain Transfer Learning. 5164-5171 - Cosmin Eugen Oancea, Ties Robroek, Fabian Gieseke:
Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees. 5172-5181 - Arjun Pandya, Oluwatobiloba Odunsi, Chen Liu, Alfredo Cuzzocrea, Jianwu Wang:
Adaptive and Efficient Streaming Time Series Forecasting with Lambda Architecture and Spark. 5182-5190 - Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. 5191-5200 - Yanjun Pu, Caimeng Wang, Wenjun Wu:
A Deep Reinforcement Learning Framework for Instructional Sequencing. 5201-5208 - Siby Charley Pulikottil, Manish Gupta:
ONet - A Temporal Meta Embedding Network for MOOC Dropout Prediction. 5209-5217 - A. K. M. Shahariar Azad Rabby, Md. Majedul Islam, Nazmul Hasan, Jebun Nahar, Fuad Rahman:
A Novel Deep Learning Character-Level Solution to Detect Language and Printing Style from a Bilingual Scanned Document. 5218-5226 - Manikandan Ravikiran, Yuichi Nonaka, Nestor Mariyasagayam:
A Sensitivity Analysis (and Practitioners' Guide to) of DeepSORT for Low Frame Rate Video. 5227-5236 - Naw Safrin Sattar, Shaikh Arifuzzaman:
Community Detection using Semi-supervised Learning with Graph Convolutional Network on GPUs. 5237-5246 - Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea:
Large-scale Sparse Structural Node Representation. 5247-5253 - Lingfeng Shen, Zhuoming Liu, Xiongtao Zhou:
Forecasting People's Action via Social Media Data. 5254-5259 - Chongya Song, Alexander Perez-Pons, Kang K. Yen:
Optimizing Stochastic Gradient Descent Using the Angle Between Gradients. 5269-5275 - Jarin Tasnim, Debajyoti Mondal:
Data Reduction and Deep-Learning Based Recovery for Geospatial Visualization and Satellite Imagery. 5276-5285 - Matthew Willetts, Stephen J. Roberts, Chris C. Holmes:
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels. 5286-5295 - San He We, Unaiza Ahsan, Mingming Guo, Simon Hughes, Xiquan Cui, Khalifeh Al Jadda:
Recommendations of Compatible Accessories in e-Commerce. 5296-5304 - SungRyeol Yang, Geoffrey C. Fox, Bokyoon Na:
Taxonomic Classification of Objects with Convolutional Neural Networks. 5305-5314 - Huaxiong Yao, Jiabei Hu, Wenqi Xie, Yang Huang, Wei Xie:
Session-Based Recommendation Model Based on Multiple Neural Networks Hybrid Extraction Feature. 5315-5322 - Chin-Feng Yu, Hsing-Kuo Pao:
Virtual Adversarial Active Learning. 5323-5331 - Ameema Zainab, Ali Ghrayeb, Mahdi Houchati, Shady S. Refaat, Haitham Abu-Rub:
Performance Evaluation of Tree-based Models for Big Data Load Forecasting using Randomized Hyperparameter Tuning. 5332-5339 - Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding, Guoting Chen:
OSUMI: On-Shelf Utility Mining from Itemset-based Data. 5340-5349 - Wensheng Gan, Shicheng Wan, Jiahui Chen, Chien-Ming Chen, Lina Qiu:
TopHUI: Top-k high-utility itemset mining with negative utility. 5350-5359 - Tzung-Pei Hong, Ming-Jhe Hu, Tang-Kai Yin, Shyue-Liang Wang:
Extracting Multi-Scale Rotation-Invariant Features in Convolution Neural Networks. 5360-5365 - Linh Le, Ying Xie, Saisangararamaleengam Alagapan, Sumit Chakravarty, Pablo Ordóñez, Michael Hales, John Johnson:
Deep Pose Alignment. 5366-5372 - Jerry Chun-Wei Lin, Gautam Srivastava, Yuanfa Li, Tzung-Pei Hong, Shyue-Liang Wang:
Mining High-Utility Sequential Patterns in Uncertain Databases. 5373-5380 - Kyle Pawlowski, Sumit Chakravarty, Ying Xie, Arjun Kumar Joginipelly:
Action Recognition Using Dynamic Mode Decomposition for Temporal Representation. 5381-5386 - Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Automated Dual Clustering for Clinical Pathway Mining*. 5387-5396 - Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Order Trajectory Analysis in Hospital Information System*. 5397-5404 - Mateusz Wnuk, Sebastian Stawicki, Dominik Slezak:
Reinventing Infobright's Concept of Rough Calculations on Granulated Tables for the Purpose of Accelerating Modern Data Processing Frameworks. 5405-5412 - Jimmy Ming-Tai Wu, Gautam Srivastava, Min Wei, Jerry Chun-Wei Lin:
Fuzzy High-Utility Pattern Mining based on the Hadoop Framework. 5413-5420 - Jimmy Ming-Tai Wu, Min Wei, Gautam Srivastava, Jerry Chun-Wei Lin:
High-Utility Pattern Mining in Hadoop Environments. 5421-5427 - Innocent Boakye Ababio, Jianxia Chen, Yu Chen, Liang Xiao:
Link Prediction Based on Heuristics and Graph Attention. 5428-5434 - Lixin Fan, Chang Liu, Yuhao Zhou, Tianyu Zhang, Qiang Yang:
Interpreting and Evaluating Black Box Models in a Customizable Way. 5435-5440 - Kun Kong, Ruicong Liu, Yihui Zhang, Yixin Chen:
Predicting Liquidity Ratio of Mutual Funds via Ensemble Learning. 5441-5450 - Li Shen, Kun Shen, Chao Yi, Yixin Chen:
Regression and Hidden Markov Models for Gold Price Prediction. 5451-5456 - Li Shen, Kun Shen, Chao Yi, Yixin Chen:
An Evaluation of Pairs Trading in Commodity Futures Markets. 5457-5462 - Sandhya Tripathi, N. Hemachandra, Prashant Trivedi:
Interpretable feature subset selection: A Shapley value based approach. 5463-5472 - Xiaoya Wang, Yihui Zhang, Yixin Chen:
A Novel Lasso Regression Model for Sector Rotation Trading Strategies with "Economy-Policy" Cycles. 5473-5479 - Ruoyun Zhang, Chao Yi, Yixin Chen:
Explainable Machine Learning for Regime-Based Asset Allocation. 5480-5485 - Yihui Zhang, Haiyan Zhao, Xiaoyi Li, Shuang Gao, Kun Kong, Yixin Chen:
Exchange Traded Fund Clustering via Metric Learning. 5486-5495 - Rui Zhong, Zhen Zhang, Rongheng Lin, Hua Zou:
Encoding Broad Learning System : An Effective Shallow Model For Anti-fraud. 5496-5504 - Ye Zhu, Chao Yi, Yixin Chen:
Utilizing Macroeconomic Factors for Sector Rotation based on Interpretable Machine Learning and Explainable AI. 5505-5510 - Shubham Gupta:
A Hybrid Machine Learning Framework of Gradient Boosting Decision Tree and Sequence Model for Predicting Escalation in Customer Support. 5511-5518 - Andrzej Janusz, Guohua Hao, Daniel Kaluza, Tony Li, Robert Wojciechowski, Dominik Slezak:
Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results. 5519-5526 - Peter Klimov, Vladimir Funtikov:
Predicting escalations in customer support with gradient boosting at the IEEE BigData 2020 Cup. 5527-5532 - Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Global Road Damage Detection: State-of-the-art Solutions. 5533-5539 - Keval Doshi, Yasin Yilmaz:
Road Damage Detection using Deep Ensemble Learning. 5540-5544 - Tristan Hascoet, Yihao Zhang, Andreas Persch, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
FasterRCNN Monitoring of Road Damages: Competition and Deployment. 5545-5552 - Vinuta Hegde, Dweep Trivedi, Abdullah Alfarrarjeh, Aditi Deepak, Seon Ho Kim, Cyrus Shahabi:
Yet Another Deep Learning Approach for Road Damage Detection using Ensemble Learning. 5553-5558 - Dongjun Jeong:
Road Damage Detection Using YOLO with Smartphone Images. 5559-5562 - Felix Kortmann, Kevin Talits, Pascal Fassmeyer, Alexander Warnecke, Nicolas Meier, Jens Heger, Paul Drews, Burkhardt Funk:
Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN. 5563-5571 - Yuming Liu, Xiaoyong Zhang, Bingzhen Zhang, Zhenwu Chen:
Deep Network For Road Damage Detection. 5572-5576 - Vishal Mandal, Abdul Rashid Mussah, Yaw Adu-Gyamfi:
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis. 5577-5583 - Zixiang Pei, Rongheng Lin, Xiubao Zhang, Haifeng Shen, Jian Tang, Yi Yang:
CFM: A Consistency Filtering Mechanism for Road Damage Detection. 5584-5591 - Vung Pham, Chau Pham, Tommy Dang:
Road Damage Detection and Classification with Detectron2 and Faster R-CNN. 5592-5601 - Sadra Naddaf-Sh, Mohammad Mahdi Naddaf Shargh, Amir R. Kashani, Hassan Zargarzadeh:
An Efficient and Scalable Deep Learning Approach for Road Damage Detection. 5602-5608 - Rahul Vishwakarma, Ravigopal Vennelakanti:
CNN Model & Tuning for Global Road Damage Detection. 5609-5615 - Xiaoguang Zhang, Xuan Xia, Nan Li, Ma Lin, Junlin Song, Ning Ding:
Exploring the Tricks for Road Damage Detection with A One-Stage Detector. 5616-5621 - Abdullah Almoqbil, Brian O'Connor, Rich Anderson, Jibril Shittu, Shailesh Kulkarni, Brenda Alejandre, Patrick McLeod:
The correlation between substance abuse and crime in the United States. 5625-5626 - Jacob Balma, Aaron D. Vose, Yuri K. Peterson, Amar G. Chittiboyina, Pankaj Pandey, Charles R. Yates, Ikhlas A. Khan, Sreenivas R. Sukumar:
Deep Learning Predicts Protein-Ligand Interactions. 5627-5629 - Zeno Bardelli, Ines Arous, Philippe Cudré-Mauroux, Ljiljana Dolamic:
SwissFinder: Identifying Swiss Websites from Unstructured Content. 5630-5632 - Eric Bax, Charlotte Bax:
SAFE - Secure Aggregated Frequency Estimates. 5633-5635 - Colin Berry:
The Diffusion of Information: The Impact of Sentiment and Topic on Retweets. 5636-5638 - Colin Berry, Heather Berry, Ryan Berry:
Mask Mandates and COVID-19 Infection Growth Rates. 5639-5642 - Justine Caylor, Somiya Metu, Adrienne Raglin:
The Role of Multi-Criteria Decision-Making in a Sentry Agents Framework Utilizing Uncertainty of Information. 5643-5645 - Mark Cheung, José M. F. Moura:
Graph Neural Networks for COVID-19 Drug Discovery. 5646-5648 - Joshua Chuah, Thilanka Munasinghe:
Exploratory Data Analysis to Understand Social Determinants Important to Global Neonatal Mortality Rate. 5649-5651 - Christopher J. Conti, Aparna S. Varde, Weitian Wang:
Task quality optimization in collaborative robotics. 5652-5654 - Srinivas Danda, Ji Zhang, Xiaohui Tao, Jerry Chun-Wei Lin, Wenbin Zhang:
Context-aware Adaptive Outlier Detection in Trajectory Data. 5655-5657 - Ranjeet Devarakonda, Jitendra Kumar, Giri Prakash:
Clustering-Based Predictive Analytics to Improve Scientific Data Discovery. 5658-5661 - Xu Du, Matthew Kowalski, Aparna S. Varde, Boxiang Dong:
LSOMP: Large Scale Ordinance Mining Portal. 5662-5664 - Emad A. Felemban, Faizan Ur Rehman, Ahmad Muaz Qamar, Akhlaq Ahmad:
A Framework to Extract Trip Informatics for Individuals and Groups Using Mobile Sensory Data in Mass Gathering Events. 5665-5667 - Qingling Feng, Ruisheng Shi, Qifeng Luo, Lina Lan, Jinqiao Shi:
Scalable Blind Matching: An Efficient Ciphertext Matching Scheme for Content-Based Pub/Sub Cloud Services. 5668-5670 - Zishun Feng, Ming Tu, Rui Xia, Yuxuan Wang, Ashok K. Krishnamurthy:
Self-Supervised Audio-Visual Representation Learning for in-the-wild Videos. 5671-5672 - Kaiming Fu, Yulu Jin, Zhousheng Chen:
Test Set Optimization by Machine Learning Algorithms. 5673-5675 - Byron J. Gao:
Pattern Exploration as Keyword Search. 5676-5678 - Byron J. Gao, Alexander Katrompas:
A Preliminary Experimental Analysis on RateMyProfessors. 5679-5681 - Carlos Garcia-Alvarado, Carlos Ordonez:
Querying Big Source Code. 5682-5684 - Kavya Guntupally, Kyle Dumas, Wade Darnell, Michael C. Crow, Ranjeet Devarakonda, Giri Prakash:
Automated Indexing of Structured Scientific Metadata Using Apache Solr. 5685-5687 - Corey Hannum, Rui Li, Weitian Wang:
Trust or Not?: A Computational Robot-Trusting-Human Model for Human-Robot Collaborative Tasks. 5689-5691 - Jun Hao, Xinghui Zhao:
An End-to-End Toolkit for Social Network Analysis. 5692-5694 - Jerome Heng, Junhua Liu, Kwan Hui Lim:
Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks. 5695-5697 - Shaudi Mahdavi Hosseini:
Learning framework with joint task optimization applied to consumer health applications with behavioral nudges. 5698-5699 - Chuen-Min Huang, Kuo-Lin Lu, Yi-Ying Cheng, Yu-Chen Peng:
Generating Chinese Classical Poetry with Quatrain Generation Model (QGM) Using Encoder-Decoder LSTM. 5700-5702 - Chau-Lin Charly Huang, Thilanka Munasinghe:
Exploring Various Applicable Techniques to Detect Smoke on the Satellite Images. 5703-5705 - Koji Iwanuma, Kento Yajima, Yoshitaka Yamamoto:
Mining Consistent, Non-Redundant and Minimal Negative Rules Based on Minimal Generators. 5706-5709 - Hyeon-Jun Jang, Yin-Goo Yim, Hyun-Wook Jin:
Vertical Autoscaling of GPU Resources for Machine Learning in the Cloud. 5710-5712 - Catalina M. Jaramillo, Paul Squires, Harold G. Kaufman, Andre Mendes da Silva, Julian Togelius:
Word embedding for job market spatial representation: tracking changes and predicting skills demand. 5713-5715 - Drake Johnson, Keith Register, Brian D. Davison, Jeff Heflin:
An Exploratory Interface for Dataset Repositories Using Cell-Centric Indexing. 5716-5718 - Evangelia Kavakli, Rizos Sakellariou, Iliada Eleftheriou, Julien-Etienne Mascolo:
Towards a Multi-Perspective Methodology for Big Data Requirements. 5719-5720 - Yasuko Kawahata:
Stochastic Process for Analyzing Speech on the Web with Consideration of Media Mediation in Large-scale Broadcast Events in Japan. 5721-5723 - Rituparna Khan, Michael N. Gubanov:
Towards Tabular Embeddings, Training the Relational Models. 5724-5726 - Rituparna Khan, Michael N. Gubanov:
WebLens: Towards Web-scale Data Integration, Training the Models. 5727-5729 - Sebastian Zhi Tao Khoo, Leong Hock Ho, Ee Hong Lee, Danston Kheng Boon Goh, Zehao Zhang, Swee Hong Ng, Haodi Qi, Kyong Jin Shim:
Social Media Analytics: A Case Study of Singapore General Election 2020. 5730-5732 - Minhyeok Kweun, Woo-Yeon Lee, Goeun Kim, Jisoo Hwang, Yoonkyong Lee:
Lineage Checkpoint Approach for Long-lineage Problem in Apache Spark. 5733-5735 - Danielle Lambion, Michael Josten, Femi G. Olumofin, Martine De Cock:
Malicious DNS Tunneling Detection in Real-Traffic DNS Data. 5736-5738 - William Ledbetter, John A. Springer:
Peace Speech Identification Using ABBYY Fine Reader and HathiTrust. 5739-5743 - Moonhyung Lee, Sangwhan Cha:
Towards Personalized Hybrid Recommender System using Average Visit Intervals. 5744-5746 - Derrick Ming Yang Lee, Dion Wei Xuan Ang, Grace Mei Ching Pua, Lee Ning Ng, Sharon Purbowo, Eugene Wen Jia Choy, Kyong Jin Shim:
A Social Network Analysis of Jobs and Skills. 5747-5749 - Oleksandr A. Letychevskyi, Yaroslav Hryniuk:
Machine Learning Methods for Improving Vulnerability Detection in Low-level Code. 5750-5752 - Jianchuang Li, Peiquan Jin, Shouhong Wan:
Adaptive Lazy Compaction with High Stability and Low Latency for Data-Intensive Systems. 5753-5755 - He Li, Shiyu Zhang, Liangcai Su, Hongjie Huang, Duo Jin, Xuejiao Li:
GraphSANet: A Graph Neural Network and Self Attention Based Approach for Spatial Temporal Prediction in Sensor Network. 5756-5758 - Boyu Liu, Duanyue Yun, Xin Guo, Xiao Ji, Huiyu Song, Shirish Kumar Singh, Gail E. Kaiser:
Detecting Sensor-Based Repackaged Malware. 5759-5761 - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Integrating Polystore RDBMS with Common In-Memory Data. 5762-5764 - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Approximate Query Processing for Big Data in Heterogeneous Databases. 5765-5767 - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Survey of the use of digital technologies to combat COVID-19. 5768-5771 - Hidehiro Matsumoto, Akira Ishii:
An Analysis Approach of Messaging Mechanism on Social Networking Services. 5772-5773 - Julia Alyssa Mell, Anuar Imanbayev:
Impact of BGM Point Profiles on Glycemic Variability Prediction Accuracies. 5774-5776 - Andreas Messalas, Christos Aridas, Yiannis Kanellopoulos:
Evaluating MASHAP as a faster alternative to LIME for model-agnostic machine learning interpretability. 5777-5779 - Chandan Misra, Utkarsh Parasrampuria, Sourangshu Bhattacharya, Soumya K. Ghosh:
On Distributed Solution for Simultaneous Linear Symmetric Systems. 5780-5782 - Fan Mo, Huida Jiao, Shun Morisawa, Makoto Nakamura, Koichi Kimura, Hisanori Fujisawa, Masafumi Ohtsuka, Hayato Yamana:
Real-Time Periodic Advertisement Recommendation Optimization using Ising Machine. 5783-5785 - Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis:
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. 5786-5788 - Yihyun Nam, Sangwhan Cha:
Correlation Analysis between Median Income level of District and Quality of Medical Service in Seoul, Korea. 5789-5791 - Hoang H. Nguyen, Sergej Zerr, Tuan-Anh Hoang:
On Node Embedding of Uncertain Networks. 5792-5794 - Carlos Ordonez, Sikder Tahsin Al-Amin, Ladjel Bellatreche:
An ER-Flow Diagram for Big Data. 5795-5797 - Utkarsh Parasrampuria, Chandan Misra, Sourangshu Bhattacharya:
An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices. 5798-5800 - Le Tuan Phan, Thanh-Nam Doan, Mina Sartipi:
Understanding the Effect of COVID-19 on Fuel Consumption of Public Transportation: The Case Study of Chattanooga, TN. 5801-5803 - Anna Pyayt, Rituparna Khan, Robert Brzozowski, Prahathees Eswara, Michael N. Gubanov:
Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning. 5804-5806 - Ahmad Muaz Qamar, Mohd. Adib Omar, Muhammad Rashid:
An Indexing Scheme for Telerehabilitation Big Data. 5807-5809 - Hani Ramadhan, Joonho Kwon:
Learning Minimum Bounding Rectangles for Efficient Trajectory Similarity Search. 5810-5812 - Julius Roeder, Benjamin Rouxel, Clemens Grelck:
Q-learning for Statically Scheduling DAGs. 5813-5815 - Nicolas Schroeder:
Predicting the spread of Covid-19 through quantified cultural dimensions. 5816-5818 - Reza Serajian, Reza Ehsani:
Application of big data for improving air quality during almond harvesting process. 5819-5821 - Michael S. Shur:
Describing and Predicting COVID19 Evolution Using Pandemic Equation. 5822-5824 - Xuesi Sim, Ern Rae Chang, Yu Xiang Ong, Jie Ying Yeo, Christine Bai Shuang Yan, Eugene Wen Jia Choy, Kyong Jin Shim:
Digital Social Listening on Conversations About Sexual Harassment. 5825-5827 - Maninder Singh, Vaibhav K. Anu:
Graph Based CIA in Requirements Engineering. 5828-5830 - Aiswarya Sriram, Advithi Nair, Alka Simon, Subramaniam Kalambur, Dinkar Sitaram:
A Study on the Causes of Garbage Collection in Java for Big Data Workloads. 5831-5833 - Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. 5834-5838 - Sebastian Trinks, Carsten Felden:
A differentiation between Image Mining and Computer Vision in the application area of Big Data. 5839-5842 - Odysseas Tsilingeridis, Alexandros Karakasidis:
MILMS: A Microservices-based Learning Management System. 5843-5845 - Vinu E. Venugopal, Martin Theobald:
Effective Stream Data Processing using Asynchronous Iterative Routing Protocol. 5846-5848 - Yi Wang, Peiquan Jin, Shouhong Wan:
HotKey-LSM: A Hotness-Aware LSM-Tree for Big Data Storage. 5849-5851 - Jia Xie, Shouhong Wan, Peiquan Jin:
Fast and Effective Object Classification for Big Image Data. 5852-5854 - Qiqiang Xu, Ji Zhang, Youwen Zhu, Bohan Li, Donghai Guan, Xin Wang:
A Block-Level RNN Model for Resume Block Classification. 5855-5857 - Qiqiang Xu, Ji Zhang, Zenghui Xu, Yonglong Luo, Fulong Chen, Xiaoyao Zheng, Gaoming Yang:
Effective Tuple-based Anonymization for Massive Streaming Categorical Data. 5858-5860 - Chih-Chieh Yang, Giacomo Domeniconi, Leili Zhang, Guojing Cong:
Design of AI-Enhanced Drug Lead Optimization Workflow for HPC and Cloud. 5861-5863 - Arjumand Younus, Muhammad Atif Qureshi:
Combining BERT with Contextual Linguistic Features for Identification of Propaganda Spans in News Articles. 5864-5866 - Junchen Zhang, Yongping Luo, Peiquan Jin, Shouhong Wan:
Optimizing Adaptive Radix Trees for NVM-Based Hybrid Memory Architecture. 5867-5869 - Yichen Zhang, Thilanka Munasinghe:
Exploring Image Segmentation Techniques to Detect High Latitude Dust on Satellite Images. 5870-5871 - Xiantian Zhou, Carlos Ordonez:
Matrix Multiplication with SQL Queries for Graph Analytics. 5872-5873 - Ruohan Zong:
On Privileged Information Driven Robust Face Verification: A Siamese Convolutional Neural Network Approach. 5874-5878
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