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High-dimensional function approximation using local linear embedding (2015)
Presentation / Conference Contribution
Andras, P. (2015). High-dimensional function approximation using local linear embedding. In 2015 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN.2015.7280370

Neural network approximation of high-dimensional nonlinear functions is difficult due to the sparsity of the data in the high-dimensional data space and the need for good coverage of the data space by the `receptive fields' of the neurons. However, h... Read More about High-dimensional function approximation using local linear embedding.

Detecting communities of methods using dynamic analysis data (2015)
Presentation / Conference Contribution
Andras, P., & Duffee, B. (2015). Detecting communities of methods using dynamic analysis data. In 2015 IEEE/ACM 6th International Workshop on Emerging Trends in Software Metrics. https://doi.org/10.1109/WETSoM.2015.11

Maintaining large-scale software is difficult due to the size and variable nature of such software. Network analysis is a promising approach to extract useful knowledge from network representations of large and complex systems. Community detection is... Read More about Detecting communities of methods using dynamic analysis data.

Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients (2015)
Journal Article
Fisher, J. M., Hammerla, N. Y., Rochester, L., Andras, P., & Walker, R. W. (2016). Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients. Telemedicine and e-Health, 22(1), 63-69. https://doi.org/10.1089/tmj.2015.0026

Background:Remote monitoring of symptoms in Parkinson's disease (PD) using body-worn sensors would assist treatment decisions and evaluation of new treatments. To date, a rigorous, systematic evaluation of the acceptability of body-worn sensors in PD... Read More about Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients.

Environmental Factors and the Emergence of Cultural – Technical Innovations (2015)
Presentation / Conference Contribution
Andras, P. (2015). Environmental Factors and the Emergence of Cultural – Technical Innovations. In Proceedings of the European Conference on Artificial Life 2015 (130-137). https://doi.org/10.7551/978-0-262-33027-5-ch028

Environmental factors that determine ecological niches, for example natural boundaries formed by mountains, rivers, deserts, contribute to the speciation among animals. Similar factors have been proposed to be important for the... Read More about Environmental Factors and the Emergence of Cultural – Technical Innovations.

PD disease state assessment in naturalistic environments using deep learning (2015)
Presentation / Conference Contribution
Hammerla, N. Y., Fisher, J., Andras, P., Rochester, L., Walker, R., & Plötz, T. (2015, January). PD disease state assessment in naturalistic environments using deep learning. Presented at Twenty-Ninth AAAI conference on artificial intelligence, Austin, Texas

Management of Parkinson's Disease (PD) could be improved significantly if reliable, objective information about fluctuations in disease severity can be obtained in ecologically valid surroundings such as the private home. Although automatic assessmen... Read More about PD disease state assessment in naturalistic environments using deep learning.

Mapping on surfaces: Supporting collaborative work using interactive tabletop (2014)
Presentation / Conference Contribution
Sinmai, K., & Andras, P. (2014). Mapping on surfaces: Supporting collaborative work using interactive tabletop. In CYTED-RITOS International Workshop on Groupware (319-334). https://doi.org/10.1007/978-3-319-10166-8_29

We investigate the usability of our mindmap application using a tabletop integrated with four Android tablets in the context of support for collaborative work. This paper presents two empirical studies that compares the conventional paper-and-pen app... Read More about Mapping on surfaces: Supporting collaborative work using interactive tabletop.

Leveraging the Cloud for Large-Scale Software Testing: A Case Study ‑ Google Chrome on Amazon (2014)
Book Chapter
Pakhira, A., & Andras, P. (2014). Leveraging the Cloud for Large-Scale Software Testing: A Case Study ‑ Google Chrome on Amazon. In Cloud Technology: Concepts, Methodologies, Tools, and Applications. IGI Global. https://doi.org/10.4018/978-1-4666-6539-2.ch055

Testing is a critical phase in the software life-cycle. While small-scale component-wise testing is done routinely as part of development and maintenance of large-scale software, the system level testing of the whole software is much more problematic... Read More about Leveraging the Cloud for Large-Scale Software Testing: A Case Study ‑ Google Chrome on Amazon.

Objective assessment of motor symptoms in Parkinson's disease using body-worn sensors (2014)
Presentation / Conference Contribution
Fisher, J., Hammerla, N., Andras, P., Rochester, L., & Walker, R. (2014). Objective assessment of motor symptoms in Parkinson's disease using body-worn sensors. Movement Disorders, 29(S1), https://doi.org/10.1002/mds.25913

Objective: There is great need for an objective method of symptom assessment in Parkinson's disease (PD) to enable better treatment decisions and to assist evaluation of new therapies. In this work we present the use of wrist-worn accelerometers and... Read More about Objective assessment of motor symptoms in Parkinson's disease using body-worn sensors.

Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging (2014)
Journal Article
Bai, D., Benniston, A. C., Clift, S., Baisch, U., Steyn, J., Everitt, N., & Andras, P. (2014). Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging. Journal of Molecular Structure, 1065-1066, 10-15. https://doi.org/10.1016/j.molstruc.2014.02.026

The neutral low molecular weight julolidine-based borondipyrromethene (Bodipy) dyads JULBD and MJULBD were used for fast voltage-sensitive dye imaging of neurons in the crab stomatogastric ganglion. The fluorescence modulation of the dyads mirrors al... Read More about Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging.

Leveraging the Cloud for Large-Scale Software Testing – A Case Study: Google Chrome on Amazon (2013)
Book Chapter
Pakhira, A., & Andras, P. (2013). Leveraging the Cloud for Large-Scale Software Testing – A Case Study: Google Chrome on Amazon. In S. Tilley, & T. Parveen (Eds.), Software Testing in the Cloud: Perspectives on an Emerging Discipline (252-279). IGI Global. https://doi.org/10.4018/978-1-4666-2536-5.ch012

Testing is a critical phase in the software life-cycle. While small-scale component-wise testing is done routinely as part of development and maintenance of large-scale software, the system level testing of the whole software is much more problematic... Read More about Leveraging the Cloud for Large-Scale Software Testing – A Case Study: Google Chrome on Amazon.

A measure to assess the behavior of method stereotypes in object-oriented software (2013)
Presentation / Conference Contribution
Andras, P., Pakhira, A., Moreno, L., & Marcus, A. (2013, May). A measure to assess the behavior of method stereotypes in object-oriented software. Presented at 2013 4th International Workshop on Emerging Trends in Software Metrics (WETSoM), San Francisco, CA, USA

The implementation of software systems should ideally follow the design intentions of the system. However, this is not always the case - the design and implementation of software systems may diverge during software evolution. In this paper we propose... Read More about A measure to assess the behavior of method stereotypes in object-oriented software.

On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution (2013)
Presentation / Conference Contribution
Hammerla, N. Y., Kirkham, R., Andras, P., & Ploetz, T. (2013, September). On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution. Presented at UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Zurich, Switzerland

The majority of activity recognition systems in wearable computing rely on a set of statistical measures, such as means and moments, extracted from short frames of continuous sensor measurements to perform recognition. These features implicitly quant... Read More about On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution.

Function approximation using combined unsupervised and supervised learning (2013)
Journal Article
Andras, P. (2014). Function approximation using combined unsupervised and supervised learning. IEEE Transactions on Neural Networks and Learning Systems, 25(3), 495-505. https://doi.org/10.1109/TNNLS.2013.2276044

Function approximation is one of the core tasks that are solved using neural networks in the context of many engineering problems. However, good approximation results need good sampling of the data space, which usually requires exponentially increasi... Read More about Function approximation using combined unsupervised and supervised learning.

Towards reliable hybrid bio-silicon integration using novel adaptive control system (2013)
Presentation / Conference Contribution
Luo, J. W., Degenaar, P., Coapes, G., Yakovlev, A., Mak, T., & Andras, P. (2013, May). Towards reliable hybrid bio-silicon integration using novel adaptive control system. Presented at 2013 IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China

Hybrid bio-silicon networks are difficult to implement in practice due to variations of biological neuron bursting frequency. This causes the hybrid network to have inaccuracies and unreliability. The network may produce irregular bursts or incorrect... Read More about Towards reliable hybrid bio-silicon integration using novel adaptive control system.

Aimbot detection in online fps games using a heuristic method based on distribution comparison matrix (2012)
Presentation / Conference Contribution
Yu, S., Hammerla, N., Yan, J., & Andras, P. (2012, November). Aimbot detection in online fps games using a heuristic method based on distribution comparison matrix. Presented at 19th International Conference, ICONIP 2012, Doha, Qatar

Online gaming is very popular and has gained some recognition as the so called e-sport over the last decade. However, in particular First Person Shooter (FPS) games suffer from the development of sophisticated cheating methods such as aiming robots (... Read More about Aimbot detection in online fps games using a heuristic method based on distribution comparison matrix.

Computer Anxiety and the Big Five (2012)
Presentation / Conference Contribution
Crabbe, S. J., & Andras, P. (2012). Computer Anxiety and the Big Five. In PPIG 2012 - 24th Annual Workshop (12)

This paper explores the relationship between personality traits, as described by the Big Five Factors model, and the likelihood of someone suffering from computer anxiety. The research sample was a cohort of Business School Undergraduates. It was fou... Read More about Computer Anxiety and the Big Five.

Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance (2012)
Journal Article
Andras, P., & Andras, A. (2013). Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance. https://doi.org/10.1016/j.mehy.2012.11.023

Type 2 diabetes is a serious disease that is affecting an increasing part of the population in most countries. A new hypothesis is presented in this paper about the underlying causes and mechanisms that lead to the development of this disease. It is... Read More about Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance.

A Bayesian interpretation of the particle swarm optimization and its kernel extension (2012)
Journal Article
Andras, P. (2012). A Bayesian interpretation of the particle swarm optimization and its kernel extension. PLOS ONE, 7(11), Article e48710. https://doi.org/10.1371/journal.pone.0048710

Particle swarm optimization is a popular method for solving difficult optimization problems. There have been attempts to formulate the method in formal probabilistic or stochastic terms (e.g. bare bones particle swarm) with the aim to achieve more ge... Read More about A Bayesian interpretation of the particle swarm optimization and its kernel extension.

A statistical aimbot detection method for online FPS games (2012)
Presentation / Conference Contribution
Yu, S., Hammerla, N., Yan, J., & Andras, P. (2012). A statistical aimbot detection method for online FPS games. In The 2012 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN.2012.6252489

First Person Shooter (FPS) is a popular genre in online gaming, unfortunately not everyone plays the game fairly, and this hinders the growth of the industry. The aiming robot (aimbot) is a common cheating mechanism employed in this genre, it differs... Read More about A statistical aimbot detection method for online FPS games.