Ahmad, Khurshid (UK) Andrienko, Gennady (IT) Apperley, Mark (NZ) Arnott, John L. (UK) Banissi, Eb... more Ahmad, Khurshid (UK) Andrienko, Gennady (IT) Apperley, Mark (NZ) Arnott, John L. (UK) Banissi, Ebad (UK) Bannatyne, Mark W. McK. (USA) Behrens, Cliff (USA) Börner, Katy (USA) Burkhard, Remo Aslak (CH) Carmo, Maria Beatriz (PT) Chen, Chaomei (USA) Clapworthy, Gordon (UK) Craft, Brock (UK) Counsell, John (UK) Cowell, Andrew J. (USA) Cvek, Urska (USA) Dastbaz, Mohamad (UK) De Chiara, Rosario (IT) Dykes, Jason (UK) Edsall, Rob (USA) Fabrikant, Sara (CH) Faisal, Sarah UK) Gahegan, Mark (USA) Gennady, Andrienko (DE) ...
Within Numerical Analysis, the requirement for visualisation of numerical data continues to grow ... more Within Numerical Analysis, the requirement for visualisation of numerical data continues to grow as computational capabilities increase. Due to the vast amounts of data now produced, traditional mathematical methods of analysing data are cumbersome and time consuming. This research aims to capitalise on advances in information visualisation technology to support numerical data investigation. This paper presents details of a prototype software tool developed to address information visualisation requirements of numerical analysts. Experience of using the tool and an overview of results is reported. Conclusions are drawn and possible future use of the tool discussed.
Animator: a tool for the animation of parallel coordinates
Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004., Jul 14, 2004
In this paper, an uncommon use of parallel coordinates is illustrated using the Animator software... more In this paper, an uncommon use of parallel coordinates is illustrated using the Animator software. Animator is used to plot the parallel coordinates of objects in multi-dimensional space. Subsequently, the Animator software is used to animate the movement of individual objects, in this multi-dimensional space over time. Initial empirical studies of this technique for the visualization of data from Neurophysiological
PAVE: parallel algorithms visually explored, a prototype tool for the investigation of data structures in parallel numerical iterative algorithms
Proceedings Euromicro Workshop on Parallel and Distributed Processing, 1995
It is commonly acknowledged that since the advent of supercomputing, the ability of computer scie... more It is commonly acknowledged that since the advent of supercomputing, the ability of computer scientists to efficiently interpret the large masses of data produced has been significantly reduced. By transforming the masses of numbers produced into intuitive and instructive pictures visualization offers the scientist a way of seeing the unseen. In this paper a prototype algorithm investigation tool is introduced
The Enhancement Of Parallel Numerical Linear Algorithms Using A Visualization Approach
Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing
Visualisation techniques my be used to determine how the components of data structures change thr... more Visualisation techniques my be used to determine how the components of data structures change throughout the execution of an iterative algorithm. The information presented by the application of such techniques provides the basis for an efficient analysis of the characteristics of the data structures, thereby yielding insights into the overall behaviour of the algorithm. As a result of these insights,
Proceedings Ninth Euromicro Workshop on Parallel and Distributed Processing
Within Numerical Analysis, the requirement for visualisation of numerical data continues to grow ... more Within Numerical Analysis, the requirement for visualisation of numerical data continues to grow as computational capabilities increase. Due to the vast amounts of data now produced, traditional mathematical methods of analysing data are cumbersome and time consuming. This research aims to capitalise on advances in information visualisation technology to support numerical data investigation. This paper presents details of a prototype software tool developed to address information visualisation requirements of numerical analysts. Experience of using the tool and an overview of results is reported. Conclusions are drawn and possible future use of the tool discussed.
Animator: a tool for the animation of parallel coordinates
Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.
In this paper, an uncommon use of parallel coordinates is illustrated using the Animator software... more In this paper, an uncommon use of parallel coordinates is illustrated using the Animator software. Animator is used to plot the parallel coordinates of objects in multi-dimensional space. Subsequently, the Animator software is used to animate the movement of individual objects, in this multi-dimensional space over time. Initial empirical studies of this technique for the visualization of data from Neurophysiological
iRaster: A novel information visualization tool to explore spatiotemporal patterns in multiple spike trains
Journal of Neuroscience Methods, 2010
Over the last few years, simultaneous recordings of multiple spike trains have become widely used... more Over the last few years, simultaneous recordings of multiple spike trains have become widely used by neuroscientists. Therefore, it is important to develop new tools for analysing multiple spike trains in order to gain new insight into the function of neural systems. This paper describes how techniques from the field of visual analytics can be used to reveal specific patterns of neural activity. An interactive raster plot called iRaster has been developed. This software incorporates a selection of statistical procedures for visualization and flexible manipulations with multiple spike trains. For example, there are several procedures for the re-ordering of spike trains which can be used to unmask activity propagation, spiking synchronization, and many other important features of multiple spike train activity. Additionally, iRaster includes a rate representation of neural activity, a combined representation of rate and spikes, spike train removal and time interval removal. Furthermore, it provides multiple coordinated views, time and spike train zooming windows, a fisheye lens distortion, and dissemination facilities. iRaster is a user friendly, interactive, flexible tool which supports a broad range of visual representations. This tool has been successfully used to analyse both synthetic and experimentally recorded datasets. In this paper, the main features of iRaster are described and its performance and effectiveness are demonstrated using various types of data including experimental multi-electrode array recordings from the ganglion cell layer in mouse retina. iRaster is part of an ongoing research project called VISA (Visualization of Inter-Spike Associations) at the Visualization Lab in the University of Plymouth. The overall aim of the VISA project is to provide neuroscientists with the ability to freely explore and analyse their data. The software is freely available from the Visualization Lab website (see www.plymouth.ac.uk/infovis).
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)
In this paper we describe a pattern recognition based tool for forecasting. We compare the result... more In this paper we describe a pattern recognition based tool for forecasting. We compare the results of forecasting with this tool against the Exponential smoothing method on Santa Fe series data and US financial index. The results show that the pattern recognition based tool is highly accurate on standard error measures.
In this paper, a user-centred innovative method of knowledge extraction in neural networks is des... more In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artificial and natural neural systems. Two case studies are presented. The first demonstrates the use of various information visualization methods for the identification of neuronal structure (e.g. groups of neurons that fire synchronously) in spiking neural networks. The second study applies similar techniques to the study of embodied cognitive robots in order to identify the complex organization of behaviour in the robot's neural controller.
This paper presents a study of how visualization tools and methods are used to support the study ... more This paper presents a study of how visualization tools and methods are used to support the study of computer programming. The purpose of this study was to establish whether visualisation could be exploited more fully or more effectively to support this learning. Furthermore, if that were the case, then this study would aim to define the requirements of novice programmers. Greater understanding of the requirements of novice programmers is expected to steer this research towards finding better solutions to the challenges faced by students of programming. The paper presents a study of three distinct visualisation tools Jeliot(Moreno, Myller, Sutinen, & Ben-Ari, 2004), Online Python Tutor (Guo, 2013) and Visual Logic (Gudmundsen & Olivieri, 2011). The nature of how visualisation is exploited in each of these tools is evaluated. This evaluation is based on how the tool visualises the execution of (i) loops, (ii) object-oriented programming and (iii) the parameter –passing by value/refere...
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