Outputs (6)

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.

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.

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.

Using network analysis metrics to discover functionally important methods in large-scale software systems (2012)
Presentation / Conference Contribution
Pakhira, A., & Andras, P. (2012). Using network analysis metrics to discover functionally important methods in large-scale software systems. In 2012 3rd International Workshop on Emerging Trends in Software Metrics (WETSoM) (70-76)

In large-scale software systems that integrate many components originating from different vendors, the understanding of the functional importance of the components is critical for the dependability of the system. However, in general, gaining such und... Read More about Using network analysis metrics to discover functionally important methods in large-scale software systems.