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All Outputs (70)

The trade-off between usability and security in the context of eGovernment: a mapping study (2016)
Presentation / Conference Contribution
Alshamsi, A., Williams, N., & Andras, P. (2016, July). The trade-off between usability and security in the context of eGovernment: a mapping study. Presented at HCI '16: 30th International BCS Human Computer Interaction Conference: Fusion!, Poole

Most governments implement the latest information communication technology (ICT) to improve the online experience of their citizens and businesses. Governments put great effort into providing user-focused services that are usable, secure and accessib... Read More about The trade-off between usability and security in the context of eGovernment: a mapping study.

Social learning, environmental adversity and the evolution of cooperation (2016)
Presentation / Conference Contribution
Andras, P. (2016). Social learning, environmental adversity and the evolution of cooperation. In Artificial Life Conference Proceedings 13 (290-297). https://doi.org/10.1162/978-0-262-33936-0-ch051

Social learning plays a key role in the evolution of cooperation in humans and other animals. It has also been shown both theoretically and experimentally that environmental adversity is also a key determinant of the evolution of cooperation among in... Read More about Social learning, environmental adversity and the evolution of cooperation.

A critical analysis of studies that address the use of text mining for citation screening in systematic reviews (2016)
Presentation / Conference Contribution
Olorisade, B. K., de Quincey, E., Brereton, P., & Andras, P. (2016, June). A critical analysis of studies that address the use of text mining for citation screening in systematic reviews. Presented at EASE '16: 20th International Conference on Evaluation and Assessment in Software Engineering, Limerick, Ireland

Background: Since the introduction of the systematic review process to Software Engineering in 2004, researchers have investigated a number of ways to mitigate the amount of effort and time taken to filter through large volumes of literature. Aim:... Read More about A critical analysis of studies that address the use of text mining for citation screening in systematic reviews.

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.

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.

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.

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.

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). 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.

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.

Assessing motor performance with PCA (2011)
Presentation / Conference Contribution
Hammerla, N. Y., Plötz, T., Andras, P., & Olivier, P. (2011). Assessing motor performance with PCA. In Proceedings of the International Workshop on Frontiers in Activity Recognition using Pervasive Sensing (18-23)

Information about the motor performance, i.e. how well an activity is performed, is valuable information for a variety of novel applications in Activity Recognition (AR). Its assessment represents a significant challenge, as requirements depend on th... Read More about Assessing motor performance with PCA.

Towards neuro-silicon interface using reconfigurable dynamic clamping (2011)
Presentation / Conference Contribution
Luo, J. W., Mak, T., Yu, B., Andras, P., & Yakovlev, A. (2011, August). Towards neuro-silicon interface using reconfigurable dynamic clamping. Presented at 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA

Dynamic clamp emerges as an important apparatus to study the intrinsic neuronal properties through close-loop interactions between models and biological neurons. Modelling large-scale neuronal networks in software will result in significant computati... Read More about Towards neuro-silicon interface using reconfigurable dynamic clamping.