Outputs (161)

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.

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

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.

Aimbot detection in online fps games using a heuristic method based on distribution comparison matrix (2012)
Presentation / Conference Contribution
Yu, S.-Y., 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.

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.-Y., Hammerla, N., Yan, J., & Andras, P. (2012, June). A statistical aimbot detection method for online FPS games. Presented at The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, QLD, Australia

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.