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ORCIDPeter Andras 0001
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- affiliation: Keele University, Newcastle-under-Lyme, United Kingdom
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2020 – today
- 2024
[j27]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): 453-462 (2024)- 2022
- [j26]Amro Al-Said Ahmad, Peter Andras:
Scalability resilience framework using application-level fault injection for cloud-based software services. J. Cloud Comput. 11: 1 (2022) - [c51]Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras:
Structural Complexity and Performance of Support Vector Machines. IJCNN 2022: 1-8 - 2021
- [j25]Amro Al-Said Ahmad, Peter Andras:
Cloud-based software services delivery from the perspective of scalability. Int. J. Parallel Emergent Distributed Syst. 36(2): 53-68 (2021) - [c50]Arshad Farhad, Sandra I. Woolley, Peter Andras:
Federated learning for AI to improve patient care using wearable and IoMT sensors. ICHI 2021: 434 - [c49]Sandra I. Woolley, Tim Collins, Peter Andras, Allison Gardner, Marco Ortolani, Jeremy Pitt:
Compounding barriers to fairness in the digital technology ecosystem. ISTAS 2021: 1-5 - [c48]Arshad Farhad, Sandra I. Woolley, Peter Andras:
A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. MIE 2021: 504-505 - [i5]Christopher Briggs, Zhong Fan, Peter Andras:
Federated Learning for Short-term Residential Energy Demand Forecasting. CoRR abs/2105.13325 (2021) - 2020
- [c47]Christopher Briggs, Zhong Fan, Peter Andras:
Federated learning with hierarchical clustering of local updates to improve training on non-IID data. IJCNN 2020: 1-9 - [c46]Peter Andras:
Composition of Games as a Model for the Evolution of Social Institutions. ALIFE 2020: 171-179 - [i4]Christopher Briggs, Zhong Fan, Peter Andras:
Federated learning with hierarchical clustering of local updates to improve training on non-IID data. CoRR abs/2004.11791 (2020) - [i3]Christopher Briggs, Zhong Fan, Peter Andras:
A Review of Privacy Preserving Federated Learning for Private IoT Analytics. CoRR abs/2004.11794 (2020) - [i2]Christopher Briggs, Zhong Fan, Peter Andras:
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. CoRR abs/2012.07449 (2020)
2010 – 2019
- 2019
- [j24]Abdulla Alshamsi, Peter Andras:
User perception of Bitcoin usability and security across novice users. Int. J. Hum. Comput. Stud. 126: 94-110 (2019) - [j23]Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras:
The use of bibliography enriched features for automatic citation screening. J. Biomed. Informatics 94 (2019) - [j22]Amro Al-Said Ahmad, Peter Andras:
Scalability analysis comparisons of cloud-based software services. J. Cloud Comput. 8: 10 (2019) - [c45]Peter Andras:
Environmental Harshness and Fitness Improving Innovations. ALIFE 2019: 300-307 - 2018
- [j21]Chris Marriott, James M. Borg, Peter Andras, Paul E. Smaldino:
Social Learning and Cultural Evolution in Artificial Life. Artif. Life 24(1) (2018) - [j20]Peter Andras:
Social learning in repeated cooperation games in uncertain environments. Cogn. Syst. Res. 51: 24-39 (2018) - [j19]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): 76-83 (2018) - [j18]Peter Andras:
High-Dimensional Function Approximation With Neural Networks for Large Volumes of Data. IEEE Trans. Neural Networks Learn. Syst. 29(2): 500-508 (2018) - [c44]Peter Andras:
Random Projection Neural Network Approximation. IJCNN 2018: 1-8 - [c43]Peter Andras:
Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments. ALIFE 2018: 404-411 - [c42]Amro Al-Said Ahmad, Peter Andras:
Measuring the Scalability of Cloud-Based Software Services. SERVICES 2018: 5-6 - 2017
- [j17]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: 1-13 (2017) - [j16]Jannetta S. Steyn, Peter Andras:
Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. J. Comput. Neurosci. 42(2): 107-121 (2017) - [j15]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): 15-27 (2017) - [c41]Mohammed Al-Janabi, Ed de Quincey, Peter Andras:
Using supervised machine learning algorithms to detect suspicious URLs in online social networks. ASONAM 2017: 1104-1111 - [c40]Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras:
Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies. EASE 2017: 128-133 - [c39]Peter Andras:
Open-ended evolution in cellular automata worlds. ECAL 2017: 438-445 - [c38]Filipa dos Santos, Peter Andras, K. P. Lam:
Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. ICANN (1) 2017: 121-128 - [c37]Mohammed Al-Janabi, Peter Andras:
A Systematic Analysis of Random Forest Based Social Media Spam Classification. NSS 2017: 427-438 - [c36]Amro Al-Said Ahmad, Pearl Brereton, Peter Andras:
A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods. QRS Companion 2017: 555-562 - [c35]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: 1-6 - [c34]Filipa dos Santos, Peter Andras, K. P. Lam:
A multiresolution approach to the extraction of the pyloric rhythm. TSP 2017: 403-406 - 2016
- [c33]Péter András:
Social Learning, Environmental Adversity and the Evolution of Cooperation. ALIFE 2016: 290-297 - [c32]Abdulla Alshamsi, Nikki Williams, Peter Andras:
The Trade-off Between Usability and Security in the Context of eGovernment: A Mapping Study. BCS HCI 2016 - [c31]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: 14:1-14:11 - [c30]Filipa dos Santos, Jannetta S. Steyn, Peter Andras:
Modelling the restoration of activity in a biological neural network. IJCNN 2016: 4672-4679 - 2015
- [c29]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: 1742-1748 - [c28]Peter Andras:
Environmental Factors and the Emergence of Cultural Technical Innovations. ECAL 2015: 130-137 - [c27]Boyd Duffee, Peter Andras:
Detecting Communities of Methods Using Dynamic Analysis Data. WETSoM@ICSE 2015: 11-20 - [c26]Peter Andras:
High-dimensional function approximation using local linear embedding. IJCNN 2015: 1-8 - 2014
- [j14]Peter Andras:
Function Approximation Using Combined Unsupervised and Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 25(3): 495-505 (2014) - [c25]Kanida Sinmai, Peter Andras:
Mapping on Surfaces: Supporting Collaborative Work Using Interactive Tabletop. CRIWG 2014: 319-334 - 2013
- [c24]Peter Andras, Anjan Pakhira, Laura Moreno, Andrian Marcus:
A measure to assess the behavior of method stereotypes in object-oriented software. WETSoM 2013: 7-13 - [c23]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: 2311-2314 - [c22]Nils Y. Hammerla, Reuben Kirkham, Peter Andras, Thomas Ploetz:
On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution. ISWC 2013: 65-68 - 2012
- [c21]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: 654-661 - [c20]Anjan Pakhira, Peter Andras:
Using network analysis metrics to discover functionally important methods in large-scale software systems. WETSoM 2012: 70-76 - [c19]Su-Yang Yu, Nils Y. Hammerla, Jeff Yan, Peter Andras:
A statistical aimbot detection method for online FPS games. IJCNN 2012: 1-8 - [c18]Sarah J. Crabbe, Peter Andras:
Computer Anxiety and the Big Five. PPIG 2012: 12 - [i1]Peter Andras:
A Bayesian Interpretation of the Particle Swarm Optimization and Its Kernel Extension. CoRR abs/1211.3845 (2012) - 2011
- [c17]Junwen Luo, Terrence S. T. Mak, Bo Yu, Peter Andras, Alex Yakovlev:
Towards neuro-silicon interface using reconfigurable dynamic clamping. EMBC 2011: 6389-6392
2000 – 2009
- 2009
- [c16]Peter Andras:
Modeling Living Systems. ECAL (2) 2009: 208-215 - [c15]Peter Andras:
Networks of Artificial Social Interactions. ECAL (2) 2009: 383-390 - 2008
- [c14]Peter Andras:
Uncertainty and communication complexity in iterated cooperation games. ALIFE 2008: 9-16 - [c13]Péter András:
Uncertainty in iterated cooperation games. IEEE Congress on Evolutionary Computation 2008: 593-599 - [c12]Shaun Fitch, Trevor Jackson, Peter Andras, Craig Robson:
Unsupervised segmentation of cell nuclei using geometric models. ISBI 2008: 728-731 - 2007
- [j13]Péter András, Thomas Wennekers:
Cortical activity pattern computation. Biosyst. 87(2-3): 179-185 (2007) - [j12]Thomas Wennekers, Nihat Ay, Péter András:
High-resolution multiple-unit EEG in cat auditory cortex reveals large spatio-temporal stochastic interactions. Biosyst. 89(1-3): 190-197 (2007) - [c11]Simon E. Parkin, Peter Andras, Graham Morgan:
Evolutionary optimization of parameters for distributed virtual environments. IEEE Congress on Evolutionary Computation 2007: 1390-1397 - [c10]Péter András, Samantha Lycett:
An advantage of chaotic neural dynamics. IJCNN 2007: 1417-1422 - 2006
- [j11]Péter András:
Extraction of an activity pattern language from EEG data. Neurocomputing 69(10-12): 1313-1316 (2006) - [j10]Péter András, John Lazarus, Gilbert Roberts, Steven J. Lynden:
Uncertainty and Cooperation: Analytical Results and a Simulated Agent Society. J. Artif. Soc. Soc. Simul. 9(1) (2006) - [c9]Péter András:
The Language of Cortical Dynamics. CompLife 2006: 247-256 - [c8]Simon Edward Parkin, Peter Andras, Graham Morgan:
Managing Missed Interactions in Distributed Virtual Environments. EGVE 2006: 27-34 - 2005
- [j9]Péter András:
Pattern computation in neural communication systems. Biol. Cybern. 92(6): 452-460 (2005) - [j8]Péter András:
Neural activity pattern systems. Neurocomputing 65-66: 531-536 (2005) - [c7]Péter András, Bruce G. Charlton:
Self-Aware Software - Will It Become a Reality?. Self-star Properties in Complex Information Systems 2005: 229-259 - 2004
- [j7]Péter András:
Pattern languages: a new paradigm for neurocomputation. Neurocomputing 58-60: 223-228 (2004) - [c6]Olusola C. Idowu, Steven J. Lynden, Malcolm P. Young, Péter András:
Bacillus Subtilis Protein Interaction Network Analysis. CSB 2004: 623-625 - [c5]Panayiotis Periorellis, Olusola C. Idowu, Steven J. Lynden, Malcolm P. Young, Péter András:
Dealing with Complex Networks of Process Interactions: A Security Measure. ICECCS 2004: 29-36 - 2003
- [j6]Péter András:
Comparing neurophysiological measurements of simulated and real brains. Neurocomputing 52-54: 677-682 (2003) - 2002
- [j5]Péter András:
Kernel-Kohonen Networks. Int. J. Neural Syst. 12(2): 117-135 (2002) - [j4]Péter András:
Computation with chaotic patterns. Neurocomputing 44-46: 263-268 (2002) - [j3]Péter András, Stefano Panzeri, Malcolm P. Young:
Toward statistically valid population decoding models. Neurocomputing 44-46: 269-274 (2002) - [j2]Péter András:
The Equivalence of Support Vector Machine and Regularization Neural Networks. Neural Process. Lett. 15(1): 97-104 (2002) - [c4]Péter András, Gilbert Roberts, John Lazarus:
Environmental Risk, Cooperation, and Communication Complexity. Adaptive Agents and Multi-Agents Systems 2002: 49-65 - 2001
- [c3]Péter András:
The Role of Brain Chaos. Emergent Neural Computational Architectures Based on Neuroscience 2001: 296-310
1990 – 1999
- 1999
- [j1]Péter András:
Orthogonal RBF Neural Network Approximation. Neural Process. Lett. 9(2): 141-151 (1999) - [c2]Peter Andras:
Approximation of chaotic shapes with tree-structured neural networks. IJCNN 1999: 817-820 - 1998
- [c1]Péter András:
Neural Network Design Using Spectral Analysis. ICONIP 1998: 1228-1231
Coauthor Index
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