Peter Andras

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 42

Top Topics

Function Approximation

Social Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Haiying Yuan, Keng Goh, Peter Andras, Wenguang Luo, Caisheng Wang, Yuan Gao
Steering angle sensorless control for four-wheel steering vehicle via sliding mode control method. Trans. Inst. Meas. Control 46 (3) (2024)
Amro Al-Said Ahmad, Peter Andras
Scalability resilience framework using application-level fault injection for cloud-based software services. J. Cloud Comput. 11 (2022)
Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras
Structural Complexity and Performance of Support Vector Machines. IJCNN (2022)
Arshad Farhad, Sandra I. Woolley, Peter Andras
A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. MIE (2021)
Amro Al-Said Ahmad, Peter Andras
Cloud-based software services delivery from the perspective of scalability. Int. J. Parallel Emergent Distributed Syst. 36 (2) (2021)
Christopher Briggs, Zhong Fan, Peter Andras
Federated Learning for Short-term Residential Energy Demand Forecasting. CoRR (2021)
Arshad Farhad, Sandra I. Woolley, Peter Andras
Federated learning for AI to improve patient care using wearable and IoMT sensors. ICHI (2021)
Sandra I. Woolley, Tim Collins, Peter Andras, Allison Gardner, Marco Ortolani, Jeremy Pitt
Compounding barriers to fairness in the digital technology ecosystem. ISTAS (2021)
Christopher Briggs, Zhong Fan, Peter Andras
A Review of Privacy Preserving Federated Learning for Private IoT Analytics. CoRR (2020)
Christopher Briggs, Zhong Fan, Peter Andras
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. CoRR (2020)
Christopher Briggs, Zhong Fan, Peter Andras
Federated learning with hierarchical clustering of local updates to improve training on non-IID data. CoRR (2020)
Christopher Briggs, Zhong Fan, Peter Andras
Federated learning with hierarchical clustering of local updates to improve training on non-IID data. IJCNN (2020)
Peter Andras
Composition of Games as a Model for the Evolution of Social Institutions. ALIFE (2020)
Peter Andras
Environmental Harshness and Fitness Improving Innovations. ALIFE (2019)
Amro Al-Said Ahmad, Peter Andras
Scalability analysis comparisons of cloud-based software services. J. Cloud Comput. 8 (2019)
Abdulla Alshamsi, Peter Andras
User perception of Bitcoin usability and security across novice users. Int. J. Hum. Comput. Stud. 126 (2019)
Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras
The use of bibliography enriched features for automatic citation screening. J. Biomed. Informatics 94 (2019)
Peter Andras, Lukas Esterle, Michael Guckert, The Anh Han, Peter R. Lewis, Kristina Milanovic, Terry R. Payne, Cedric Perret, Jeremy Pitt, Simon T. Powers, Neil Urquhart, Simon Wells
Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE Technol. Soc. Mag. 37 (4) (2018)
Peter Andras
Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments. ALIFE (2018)
Peter Andras
High-Dimensional Function Approximation With Neural Networks for Large Volumes of Data. IEEE Trans. Neural Networks Learn. Syst. 29 (2) (2018)
Amro Al-Said Ahmad, Peter Andras
Measuring the Scalability of Cloud-Based Software Services. SERVICES (2018)
Peter Andras
Random Projection Neural Network Approximation. IJCNN (2018)
Chris Marriott, James M. Borg, Peter Andras, Paul E. Smaldino
Social Learning and Cultural Evolution in Artificial Life. Artif. Life 24 (1) (2018)
Peter Andras
Social learning in repeated cooperation games in uncertain environments. Cogn. Syst. Res. 51 (2018)
Filipa dos Santos, Peter Andras, K. P. Lam
Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. ICANN (1) (2017)
Peter Andras
Open-ended evolution in cellular automata worlds. ECAL (2017)
Junwen Luo, Konstantin Nikolic, Benjamin D. Evans, Na Dong, Xiaohan Sun, Peter Andras, Alex Yakovlev, Patrick Degenaar
Optogenetics in Silicon: A Neural Processor for Predicting Optically Active Neural Networks. IEEE Trans. Biomed. Circuits Syst. 11 (1) (2017)
Filipa dos Santos, Peter Andras, D. J. Collins, K. P. Lam
A robust data-driven approach to the decoding of pyloric neuron activity. SiPS (2017)
Jannetta S. Steyn, Peter Andras
Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. J. Comput. Neurosci. 42 (2) (2017)
Mohammed Al-Janabi, Ed de Quincey, Peter Andras
Using supervised machine learning algorithms to detect suspicious URLs in online social networks. ASONAM (2017)
Mohammed Al-Janabi, Peter Andras
A Systematic Analysis of Random Forest Based Social Media Spam Classification. NSS (2017)
Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras
Reproducibility of studies on text mining for citation screening in systematic reviews: Evaluation and checklist. J. Biomed. Informatics 73 (2017)
Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras
Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies. EASE (2017)
Filipa dos Santos, Peter Andras, K. P. Lam
A multiresolution approach to the extraction of the pyloric rhythm. TSP (2017)
Amro Al-Said Ahmad, Pearl Brereton, Peter Andras
A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods. QRS Companion (2017)
Abdulla Alshamsi, Nikki Williams, Peter Andras
The Trade-off Between Usability and Security in the Context of eGovernment: A Mapping Study. BCS HCI (2016)
Babatunde Kazeem Olorisade, Ed de Quincey, Pearl Brereton, Peter Andras
A critical analysis of studies that address the use of text mining for citation screening in systematic reviews. EASE (2016)
Filipa dos Santos, Jannetta S. Steyn, Peter Andras
Modelling the restoration of activity in a biological neural network. IJCNN (2016)
Nils Yannick Hammerla, James Fisher, Peter Andras, Lynn Rochester, Richard Walker, Thomas Ploetz
PD Disease State Assessment in Naturalistic Environments Using Deep Learning. AAAI (2015)
Boyd Duffee, Peter Andras
Detecting Communities of Methods Using Dynamic Analysis Data. WETSoM@ICSE (2015)
Peter Andras
High-dimensional function approximation using local linear embedding. IJCNN (2015)
Peter Andras
Environmental Factors and the Emergence of Cultural Technical Innovations. ECAL (2015)
Peter Andras
Function Approximation Using Combined Unsupervised and Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 25 (3) (2014)
Kanida Sinmai, Peter Andras
Mapping on Surfaces: Supporting Collaborative Work Using Interactive Tabletop. CRIWG (2014)
Junwen Luo, Patrick Degenaar, Graeme Coapes, Alex Yakovlev, Terrence S. T. Mak, Peter Andras
Towards reliable hybrid bio-silicon integration using novel adaptive control system. ISCAS (2013)
Peter Andras, Anjan Pakhira, Laura Moreno, Andrian Marcus
A measure to assess the behavior of method stereotypes in object-oriented software. WETSoM (2013)
Nils Y. Hammerla, Reuben Kirkham, Peter Andras, Thomas Ploetz
On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution. ISWC (2013)
Peter Andras
A Bayesian Interpretation of the Particle Swarm Optimization and Its Kernel Extension CoRR (2012)
Sarah J. Crabbe, Peter Andras
Computer Anxiety and the Big Five. PPIG (2012)
Anjan Pakhira, Peter Andras
Using network analysis metrics to discover functionally important methods in large-scale software systems. WETSoM (2012)
Su-Yang Yu, Nils Y. Hammerla, Jeff Yan, Peter Andras
A statistical aimbot detection method for online FPS games. IJCNN (2012)
Su-Yang Yu, Nils Y. Hammerla, Jeff Yan, Peter Andras
Aimbot Detection in Online FPS Games Using a Heuristic Method Based on Distribution Comparison Matrix. ICONIP (5) (2012)
Junwen Luo, Terrence S. T. Mak, Bo Yu, Peter Andras, Alex Yakovlev
Towards neuro-silicon interface using reconfigurable dynamic clamping. EMBC (2011)
Peter Andras
Modeling Living Systems. ECAL (2) (2009)
Peter Andras
Networks of Artificial Social Interactions. ECAL (2) (2009)
Peter Andras
Uncertainty and communication complexity in iterated cooperation games. ALIFE (2008)
Shaun Fitch, Trevor Jackson, Peter Andras, Craig Robson
Unsupervised segmentation of cell nuclei using geometric models. ISBI (2008)
Simon E. Parkin, Peter Andras, Graham Morgan
Evolutionary optimization of parameters for distributed virtual environments. IEEE Congress on Evolutionary Computation (2007)
Simon Edward Parkin, Peter Andras, Graham Morgan
Managing Missed Interactions in Distributed Virtual Environments. EGVE (2006)
Peter Andras
Approximation of chaotic shapes with tree-structured neural networks. IJCNN (1999)