All papers

2022

Andras, P (2022). Structural Complexity and Performance of Support Vector Machines. Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN).

Al-Said Ahmad, A, Andras, P (2022). Scalability resilience framework using application-level fault injection for cloud-based software services. Journal of Cloud Computing, 11: 1-13.

2021

Andras, P and Stanton, A (2021). Where do successful populations originate from? Journal of Theoretical Biology, 524: 110734.

Al-Said Ahmad, A, Andras, P (2021). Cloud-based Software Services Delivery from the Perspective of Scalability. International Journal of Parallel, Emergent and Distributed Systems, 36: 53-68, DOI: 10.1080/17445760.2019.1617864.

Briggs, C, Fan, Z, Andras, P (2021). A review of privacy-preserving federated learning for the Internet-of-Things In: In: Habib ur Rehman, M and Medhat Gaber, M (eds.) Federated Learning Systems: Towards Next Generation AI, Springer's Series on Studies in Computational Intelligence, Springer, Cham, pp.21-50. https://arxiv.org/abs/2004.11794.

Farhad, A, Woolley, SI, Andras, P (2021). A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. Public Health and Informatics, pp. 504-505.

Briggs, C, Fan, Z, Andras, P (2021). Federated Learning for Short-term Residential Energy Demand Forecasting. https://arxiv.org/abs/2105.13325

2020

Andras, P (2020). Composition of Games as a Model for the Evolution of Social Institutions. Proceedings of the Artificial Life Conference – 2020, pp.171-179.

Briggs, C, Fan, Z, Andras, P (2020). Federated learning with hierarchical clustering of local updates to improve training on non-IID data. Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN), doi: 10.1109/IJCNN48605.2020.9207469.

Briggs, C, Fan, Z, Andras, P (2020) Privacy preserving demand forecasting to encourage consumer acceptance of smart energy meters. Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020, https://arxiv.org/abs/2012.07449.

2019

Al-Said Ahmad, A, Andras, P (2019). Scalability Analysis Comparisons of Cloud-based Software Services. Journal of Cloud Computing, 8: 1-17.

AlShamsi, A and Andras, P (2019). User Perception of Bitcoin Usability and Security across Novice Users. International Journal of Human-Computer Studies, 126:94-110.

Olorisade, BK, Brereton OP, Andras, P (2019). The use of bibliography enriched features for automatic citation screening. Journal of Biomedical Informatics, 94: 103202 .

Andras, P (2019). Environmental Harshness and Fitness Improving Innovations. Proceedings of the Artificial Life 2019 (ALife 2019), pp. 300-307.

2018

Andras, P, Esterle, L, Guckert, M, Han, TA, Lewis, PR, Milanovic, K, Payne, T, Perret, C, Pitt, J, Powers, ST, Urquhart, N, Wells, S (2018). Trusting Intelligent Machines – Deepening trust within socio-technical systems. IEEE Technology and Society Magazine, 37:76-83.

Andras, P (2018). High-Dimensional Function Approximation with Neural Networks for Large Volumes of Data. IEEE Transactions on Neural Networks and Learning Systems, 29: 500-508.

Andras, P (2018). Social learning in repeated cooperation games in uncertain environments. Cognitive Systems Research, 51: 24-39.

Andras, P (2018). Cooperation in repeated rock-paper-scissors games in uncertain environments. In the Proceedings of the Artificial Life Conference – 2018.

Al-Said Ahmad, A, Andras, P (2018). Measuring the scalability of cloud-based software services. In the proceedings of the IEEE World Congress on Services (SERVICES) – 2018, pp.67-74.

Andras, P (2018). Random Projection Neural Network Approximation. Accepted for publication in the Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2018.

Al-Said Ahmad, A, Andras, P (2018). Measuring and testing the scalability of cloud-based software services. In the proceedings of the 5th International Symposium on Innovation in Information and Communication Technology – ISIICT 2018.

2017

Olorisade, BK, Brereton, OP, Andras, P (2017). Reproducibility of Studies on Text Mining for Citation Screening in Systematic Reviews: Evaluation and Checklist. Journal of Biomedical Informatics, 73: 1-13.

Sirbu, D, Butcher, JB, Waddell, PG, Andras, P, Benniston, AC (2017). Locally Excited State–Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes. Chemistry - A European Journal, 23: 14639–14649 .

Steyn, JS, Andras, P (2017). Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. Journal of Computational Neuroscience, 42: 107-121.

Luo, L, Nikolic, P, Evans, B, Andras, P, Yakovlev, A, Degenaar, P (2017). Optogenetics in silicon: a neural processor for predicting optically active neural networks. IEEE Transactions on Biomedical Circuits and Systems, 11: 15-27.

Andras, P (2017). Open-ended evolution in cellular automata worlds. Proceedings of the 14^th European Conference on Artificial Life (ECAL 2017), pp.438-445.

Al-Janabi, M, de Quincey, E, Andras, P (2017). Using supervised machine learning algorithms to detect suspicious URLs in online social networks. Proceedings of the International Symposium on Foundations of Open Source Intelligence and Security Informatics FOSINT-SI 2017, pp.1104-1111.

Ahmad, AA-S, Brereton, OP, Andras, P (2017). A systematic mapping study of empirical studies on software cloud testing methods. Proceedings of the 2017 International Workshop on Automation Testing of Cyber-Physical Systems in the Cloud (cpsATcloud 2017), DOI: 10.1109/QRS-C.2017.94.

Dos Santos, F, Andras, P, Lam, KP (2017). A Multiresolution Approach to the Extraction of the Pyloric Rhythm. Proceedings of the 40^th IEEE International Conference on Telecommunications and Signal Processing, DOI: 10.1109/TSP.2017.8076015.

Olorisade, BK, Brereton, OP, Andras, P (2017). Reporting Statistical Validity and Model Complexity in Computational Studies. Proceedings of the 21^st Evaluation and Assessment in Software Engineering Conference (EASE 2017), pp.128-133.

Dos Santos, F, Andras, P, Lam, KP (2017). Towards an accurate identification of pyloric neuron activity with VSDi. Proceedings of the 26^th International Conference on Artificial Neural Networks (ICANN 2017), pp.121-128.

Al-Janabi, M, Andras, P (2017). A systematic analysis of random forest based social media spam classification. Proceedings of the International Workshop on Security Measurements of Cyber Networks (SMCN) - 2017 (Springer LNCS 10613), pp.427-438.

2016

Fisher, JM, Hammerla, NY, Ploetz, T, Andras, P, Rochester, L, Walker, RW (2016). Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers. Parkinsonism & Related Disorders, 33: 44-50.

Fisher, JM, Hammerla, NY, Rochester, L, Andras, P, Walker, RW (2016). Body-worn sensors in Parkinson’s disease: evaluating their acceptability to patients. Telemedicine and e-Health, 22: 1-7.

Olorisade, BK, De Quincey, E, Brereton, P, Andras, P (2016). A critical analysis of studies that address the use of text mining for citation screening in systematic reviews. Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering (EASE) 2016, article 14.

Dos Santos, F, Steyn, JS, Andras, P (2016). Modelling the restoration of activity in a biological neural network. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2016, doi: 10.1109/IJCNN.2016.7727813 .

Andras, P (2016). Social learning, environmental adversity and the evolution of cooperation. Proceedings of the Artificial Life Conference (ALife) 2016, pp.290-297.

Alshamsi, A, Williams, N, Andras, P (2016). The Trade-off between Usability and Security in the Context of eGovernment: A Mapping Study. Proceedings of the British HCI 2016 Conference.

2015

Andras, P (2015). Environmental Factors and the Emergence of Cultural – Technical Innovations. Proceedings of the European Conference on Artificial Life 2015, pp.130-137.

Andras, P (2015). High-Dimensional Function Approximation Using Local Linear Embedding. Proceedings of the International Joint Conference on Neural Networks, pp. 1-8, DOI: 10.1109/IJCNN.2015.7280370.

Duffee, B, Andras, P (2015). Detecting Communities of Methods using Dynamic Analysis Data. Proceedings of the International Workshop on Emerging trends in Software Metrics, pp.11-20.

Hammerla, N, Fisher, J, Andras, P, Rochester, L, Walker, R, Ploetz, T (2015). PD disease state assessment in naturalistic environments using deep learning. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence – 2015, pp.1742-1748.

Steyn, J, Andras, P (2015). Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. School of Computing Science Technical Report Series 1477, Newcastle University.

2014

Andras, P (2014). Function approximation using combined unsupervised and supervised learning. IEEE Transactions on Neural Networks and Learning Systems, 25: 495-505.

Bai, D, Benniston, AC, Clift, S, Baisch, U, Steyn, J, Everitt, N, Andras, P (2014). Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging. Journal of Molecular Structure, 1065-1066: 10-15.

Sinmai, K, Andras, P (2014). Mapping on surfaces: supporting collaborative work using interactive tabletops. In Collaboration and Technology (Proceedings of the 20th International Conference on Collaboration and Technology – CRIWG 2014), Springer International Publishing, LNCS 8658, pp.319-334.

2013

Andras P, Andras A (2013). Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance. Medical Hypotheses, 80: 176-185.

Andras, P, Pakhira, A, Moreno, L, Marcus, A (2013). A measure to assess the behavior of method stereotypes in object-oriented software. Proceedings of the 4^th International Workshop on Emerging Trends in Software Metrics (WETSoM 2013), pp.7-13.

Hammerla N, Kirkham R, Andras P, Ploetz T (2013). On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution. Proceedings of the International Symposium on Wearable Computers (ISWC), pp.65-68.

2012

Andras, P (2012). A Bayesian interpretation of the particle swarm optimization and its kernel extension. PLoS ONE, 7(11): e48710. doi:10.1371/journal.pone.0048710.

Städele, C, Andras, P, Stein, W (2012). Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging. Journal of Neuroscience Methods, 203: 78-88, doi: 10.1016/ j.jneumeth.2011.09.015.

Crabbe, S, Andras, P (2012). Computer anxiety and the Big Five. In the proceedings of the Psychology of Programming Interest Group Annual Conference – PPIG 2012, paper 14.

Yu, S-Y, Hammerla, N, Yan, J, Andras, P (2012). Aimbot detection in online FPS games using a heuristic method based on distribution comparison matrix. In the Proceedings of the ICONIP’2012, pp.654-661.

Pakhira, A, Andras, P (2012). Using network analysis metrics to discover functionally important methods in large-scale software systems. Proceedings of the 3^rd International Workshop on Emerging Trends in Software Metrics (WETSoM 2012), pp.70-76.

Yu, S-Y, Hammerla, N, Yan, J, Andras, P (2012). A statistical aimbot detection method for online FPS. Proceedings of the IJCNN’2012, DOI: 10.1109/IJCNN.2012.6252489.

Pakhira, A & Andras, P (2012). Leveraging the cloud for large-scale software testing – A case study: Google Chrome on Amazon. In: Tilley, S & Parveen, T (eds.) Software Testing in the Cloud, Information Science Reference – IGI Global, Hershey, PA, pp.252-279.

2011

Andras, P (2011). Research: metrics, quality, and management implications. Research Evaluation, 20: 90-106.

Lythgow, KT, Hudson, G, Andras, P, Chinnery, PF (2011). A critical analysis of the combined usage of protein localization prediction methods: increasing the number of independent data sets can reduce the accuracy of predicted mitochondrial localization. Mitochondrion, 11: 444-449.

Stein, W, Städele, C, Andras, P (2011). Single-sweep voltage sensitive dye imaging of interacting identified neurons. Journal of Neuroscience Methods, 194:224-234, doi: 10.1016/j.jneumeth.2010.10.2007.

Stein, W, Städele, C, Andras, P (2011). Optical imaging of neurons in the crab stomatogastric ganglion with voltage-sensitive dyes. Journal of Visualized Experiments, doi: 10.3791/2567.

Luo, JW, Mak, T, Yu, B, Andras, P, Yakovlev, A (2011). Towards neuro-silicon interface using reconfigurable dynamic clamping. In proceedings of the Conference of the IEEE Engineering in Medicine and Biology Society – EMBC’11, pp.6389-6392.

Hammerla, N, 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.

Andras, P (2011). Networks of artificial social interactions. In Proceedings of European Conference on Artificial Life – ECAL 2009, LNCS 5778, pp.883-890.

Andras, P (2011). Modelling living systems. In Proceedings of European Conference on Artificial Life – ECAL 2009, LNCS 5778, pp.706-713.

Pakhira, A, Andras, P (2011). Validation of network analysis methods applied in the context of dynamic analysis of software systems. School of Computing Science Technical Report Series 1240, Newcastle University.

Pakhira, A, Andras, P (2011). Dynamic network analysis of software systems. School of Computing Science Technical Report Series 1239, Newcastle University.

2010

Stein, W, Andras, P (2010). Light-induced effects of a fluorescent voltage-sensitive dye on neuronal activity in the crab stomatogastric ganglion. Journal of Neuroscience Methods, 188:290-294, –doi:10.1016/j.jneumeth.2010.03.003.

Pakhira, A, Andras, P (2010). Can we use network analysis methods to discover functionally important method calls in software systems by considering dynamic analysis data? In Proceedings of the PCODA 2010 Workshop, pp.12-19.

2009

Andras, P (2009). Molecular neuroimaging – A proposal for a novel approach to high resolution recording of neural activity in nervous systems. Medical Hypotheses, 73: 876-882.

Andras, P, Charlton, BG (2009). Why are top universities losing their lead? – An economics modelling –based approach. Science and Public Policy, 36, 317-330.

Hinks, J, Bush, J, Andras, P, Garratt, J, Pigott, G, Kennedy, A, Pless-Mulloli, T (2009). Views on chemical safety information and influences on chemical disposal behaviour in the UK. Science of the Total Environment, 407, 1299-1306.

2008

Andras, P, Lazarus, J, Roberts, G (2007). Environmental adversity and uncertainty favour cooperation. BMC Evolutionary Biology, 7:240 (30 November 2007).

Andras, P (2008). Uncertainty and communication complexity in iterated cooperation games. In Proceedings of ALife XI, MIT Press, pp.9-15.

Andras, P (2008). Uncertainty in iterated cooperation games. In Proceedings of CEC 2008, pp.593-599.

Fitch, S, Jackson, TR, Andras, P (2008). Unsupervised segmentation of cell nuclei using geometric models. In Proceedings of 5^th IEEE International Symposium on Biomedical Imaging – From Nano to Macro, pp.728-731.

Charlton BG, Andras P (2008). ‘Down-shifting’ among top UK scientists? – The decline of ‘revolutionary science’ and the rise of ‘normal science’ in the UK compared with the USA. Medical Hypotheses, 70, 465-472.

2007

Charlton, BG, Andras, P (2007). Evaluating universities using simple scientometric research-output metrics: total citation counts per university for a retrospective seven-year rolling sample. Science and Public Policy, 34 (8): 555-563.

Kaiser M, Martin R, Andras P, Young MP (2007). Simulation of structural robustness of cortical networks. European Journal of Neuroscience, 25 (10): 3185-3192.

Andras, P, Gwyther, R, Madalinski, AA, Lynden, SJ, Andras, A, & Young, MP (2007). Ecological network analysis: an application to the evaluation of effects of pesticide use in an agricultural environment. Pest Management Science, 63 (10): 943-953.

Wennekers, T, Ay, N, Andras, P (2007). High resolution multiple-unit EEG in cat neocortex reveals large spatio-temporal stochastic interactions. BioSystems, 89: 190-197.

Andras, P and Wennekers, T (2007). Cortical activity pattern computation. BioSystems 87: 179-185.

Andras, P & Lycett, S (2007). An advantage of chaotic neural dynamics. In Proceedings of IJCNN’2007, pp.1417-1422.

Parkin, SE, Andras, P, & Morgan, G (2007). Evolutionary Optimization of Parameters for Distributed Virtual Environments. In Proceedings of CEC’2007, pp.1390-1397.

Charlton, BG & Andras, P (2007). Complex biological memory conceptualized as an abstract communication system –human long term memories grow in complexity during sleep and undergo selection while awake. In: Kozma, R & Perlovsky, L (Eds.) Neurodynamics of Cognition and Consciousness, Springer, pp.325-340.

Andras, P., Herald, N.D.J. and Charlton, B.G. (2007). An analysis of the dynamics of British academic science. CS-TR-1006, School of Computing Science, University of Newcastle, UK.

2006

Andras, P, Lazarus, J, Roberts, G, and Lynden SJ (2006). Uncertainty and Cooperation: Analytical Results and a Simulated Agent Society. JASSS – Journal of Artificial Societies and Social Simulation, 9:1/7.

Andras, P (2006). Extraction of an activity pattern language from EEG data. Neurocomputing, 69: 1313-1316.

Parkin, SE, Andras, P, Morgan, G (2006). Managing missed interactions in distributed virtual environments. In Proceedings of the 12th Eurographics Symposium on Virtual Environments, pp.27-34.

Andras, P, Idowu, O, and Periorelis, P (2006). Fault tolerance and network integrity measures: the case of computer-based systems. In Proceedings of AISB Convention 2006, pp.90-97.

Andras, P (2006). The language of cortical dynamics. LNBI 4216, Berthold, MR, Glen, R & Fischer I (eds.) CompLife 2006, Springer-Verlag, pp.247-256.

Andras, P, and Andras, CD (2006). The protein interaction world hypothesis of the origins of life. Viva Origino, 34: 40-50.

Charlton BG, Andras P (2006). Oxbridge versus the 'Ivy League": 30 year citation trends. Oxford Magazine, 255: 16-17.

Charlton B, Andras P (2006). Reply to May and Harvey. Oxford Magazine, 255: 18-19.

Charlton BG, Andras P (2006). Globalization in science education: An inevitable and beneficial trend. Medical Hypotheses, 66: 869-873.

2005

Andras, P (2005). Pattern computation in neural communication systems. Biological Cybernetics, 92: 452-460.

Andras, P (2005). Neural activity pattern systems. Neurocomputing, 65-66: 531-536.

Charlton, BG and Andras, P (2005). Universities and social progress in modernising societies: how educational expansion has replaced socialism as an instrument of political reform. Critical Quarterly, 47 (1-2): 30-39.

Andras, P and Andras CD (2005). Protein interaction world – an alternative hypothesis about the origins of life. Medical Hypotheses, 64 (4): 678-688.

Charlton, BG and Andras, P (2005). Modernizing UK health services: ‘Short-sharp-shock’ reform, the NHS subsistence economy, and the spectre of health care famine. Journal of Evaluation in Clinical Practice, 11 (2): 111-119.

Andras, P and Idowu, O (2005). Kohonen networks with graph-based augmented metrics. In Proceedings of WSOM’2005, pp.179-186.

Andras, P and Wennekers, T (2005). Cortical activity pattern computation. In Proceedings of IPCAT’2005, pp.153-161.

Idowu, O, and Andras, P (2005). Identification of functionally essential proteins from protein interaction networks. In: Proceedings of CIMED 2005, pp.330-333.

Andras, P, Roberts, G, Lazarus, J, and Lynden, SJ (2005) Environmental risk. In Proceedings of the Joint Symposium on Socially Inspired Computing, pp. 88-94.

Andras, P & Charlton, BG (2005) Faults, errors and failures in communications: A systems theory perspective on organisational structure. In: Besnard, D, Gacek, C, Jones, CB (Eds.) Structure for Dependability: Computer-Based Systems from an Interdisciplinary Perspective, Springer-Verlag, pp.189-216.

Andras, P & Charlton, BG (2005) Self-aware software. Will it become reality ? In: Babaoglu, O et al. (Eds) SELF-STAR 2004, LNCS 3460, pp.229-259.

Charlton BG, Andras P (2005). The Need for a New Specialist Professional Research System of “Pure” Medical Science. PLoS Medicine 2(8): e285.

Charlton, BG and Andras, P (2005). Medical research funding may have over-expanded and be due for collapse. Quarterly Journal of Medicine, vol.98, no.1., pp.53-55.

2004

Andras, P. (2004). Pattern Languages: A New Paradigm for Neurocomputation. Neurocomputing, vol.58-60, pp.223-228.

Sandor, Z. and Andras, P. (2004). Alternative Sampling Methods for Estimating Multivariate Normal Probabilities. Journal of Econometrics, vol.120, no.2., 207-234.

Andras, P. and Charlton, B.G. (2004). Management from the Perspective of Systems Theory. In Proceedings of Practising Philosophy of Management, 2004.

Idowu, O.C., Lynden, S.J., Young, M.P. and Andras, P. (2004). Bacillus Subtilis Protein Interaction Network Analysis. In Proceedings of IEEE Computational Systems Bioinformatics Conference, pp. 623-625.

Periorellis, P., Idowu, O.C., Lynden, S.J., Young, M.P., Andras, P. (2004) Dealing with complex networks of protein interactions: A security measure. In Proceedings of 9th IEEE International Conference on Engineering of Complex Systems (ICECCS), pp.29-36.

Andras, P & Lazarus, J (2004) Cooperation, Risk and the Evolution of Teamwork. In: Gold, N (Ed.) Teamwork: Multi-Professional Perspectives, Palgrave, pp.56-77.

Andras P. and Charlton B.G. (2004). European Science must Embrace Modernization. Nature, vol.429, pp.699.

Charlton, BG and Andras, P (2004). Campaign to revitalise academic medicine - Is the bubble due to burst for medical research funding? British Medical Journal, 329, 294-294.

Andras, P. (2004) A model for emergent chaotic order in small neural networks. CS-TR-860, School of Computing Science, University of Newcastle, UK.

2003

Charlton, B.G. and Andras, P. (2003). The Modernization Imperative, Imprint Academic, Exeter, UK, ISBN 0-907845-52-5

Charlton, B. and Andras, P. (2003). The Nature and Function of Management - a perspective from systems theory. Philosophy of Management, 3, 3-16.

Andras, P. (2003). A Model for Emergent Complex Order in Small Neural Networks. Journal of Integrative Neuroscience, vol.2., no.1., pp. 55-70.

Andras, P. (2003) Comparing Neurophysiological Measurements of Simulated and Real Brains. Neurocomputing, vol. 52-54., pp.677-682.

Andras, P. (2003) Understanding Neural Computation in Terms of Pattern Languages. In Proceedings of the International Joint Conference on Neural Networks 2003, pp. 1385-1390.

Andras, P., Roberts, G., Lazarus, J. (2003) Communication Complexity, Environmental Risk, and Cooperation. In Alonso, E., Kudenko, D. and Kazakov, D. (eds.) Adaptive Agents and Multi-Agent Systems, Springer-Verlag, Berlin, pp.49-65.

Andras, P., Kozma, R., and Erdi, P (2003). Editorial - Special Issue: Complex Nonlinear Neural Dynamics: Experimental Advances and Theoretical Interpretations. Journal of Integrative Neuroscience, vol.2., no.1., pp. 1-2.

Sandor, Z. and Andras, P. (2003). Alternative Sampling Methods for Estimating Multivariate Normal Probabilities. Econometric Institute Report No 305, Erasmus University Rotterdam, Econometric Institute, Rotterdam, Netherlands.

2002

Andras, P. (2002). Kernel-Kohonen Networks. International Journal of Neural Systems, vol.12., no.2., pp.117-136.

Andras, P. (2002). Computation with Chaotic Patterns. Neurocomputing , vol.44-46., pp.263-268.

András, P., Panzeri, S. and Young, M.P. (2002). Towards Statistically Valid Population Decoding Models. Neurocomputing, vol.44-46., pp.269-274.

Andras, P. (2002). The Equivalence of Support Vector Machine and Regularization Neural Networks. Neural Processing Letters, vol.15., no.2., pp.97-104.

Andras, P. and Charlton, B.G. (2002). Democratic Deficit and Communication Inflation in the Health Care System. Journal of Evaluation in Clinical Practice, vol.8., no.2., pp.291-298.

Charlton, B.G. and Andras, P. (2002) Auditing as a Tool of Public Policy: The Misuse of Quality Assurance Techniques in the UK University Expansion. European Political Science, vol.2., no.1., pp.24-35.

Andras, P., Roberts, G., Lazarus, J. (2002) Communication Complexity, Environmental Risk, and Cooperation. In Proceedings of AAMAS – II, pp.51-59.

Andras, P. (2002) Spectrum-based Design of Sinusoidal RBF Neural Networks. In Proceedings of the International Joint Conference on Neural Networks 2002, pp. 1421-1426.

Andras, P. and Charlton, B.G. (2002). Hype and Spin in Universities. Oxford Magazine, April 2002, no.202, pp.5-6.

Andras, P. and Charlton, B.G. (2002). Hype and Spin in the NHS. British Journal of General Practice, vol. 52., no.479, pp.520-521.

Andras, P. and Charlton, B.G. (2002). Commentary on ‘Clinical Evaluation’ by Sweeney and Kernick. Journal of Evaluation in Clinical Practice, vol.8., no.2.

2001

Andras, P. (2001). Artificial Neural Networks for Approximation and Time Series Prediction, Presa Universitara, Cluj, ISBN 973-8095-60-3. (in Romanian)

Andras, P., Postma, E., and Van den Herik, J. (2001). Natural Dynamics and Neural Networks. Journal of Intelligent Systems, vol.11, no.3, pp.173-201.

Andras, P. (2001) The Sierpinski brain. In Proceedings of the International Joint Conference on Neural Networks 2001, vol.1., pp.654-659.

Andras P. (2001) The Role of Brain Chaos. In: Wermter, S., Austin, J. & Willshaw, D. (Eds.) Emerging Neural Architectures based on Neuroscience, Springer-Verlag, Heidelberg, pp.296-310.

Andras P. (2001) RBF Neural Networks with Orthogonal Basis Functions. In: Howlett, R.J. & Jain, L.C. (Eds.) Radial Basis Function Networks 1. Recent Developments in Theory and Algorithms, Physica-Verlag, Heidelberg, pp.67-94.

2000

Andras, P (2000). Long-term perspectives for thinking about internal elections. Magyar Kisebbseg (Hungarian Minority), 5 (1): 3-8. (in Hungarian)

1999

Andras, P. (1999). Orthogonal RBF Neural Network Approximation. Neural Processing Letters, vol.9., no.2., pp.141-151.

Andras, P. (1999) Approximation of Chaotic Shapes with Tree-structured Neural Networks. In Proceedings of IJCNN '99, Washington, D.C., IEEE Press, paper #187.

Andras, P., Postma, E., van den Herik, J. (1999) Dealing with Environmental Dynamics. In Proceedings of BNAIC’99, Maastricht, IKAT, pp.211-218.

Andras, P. (1999) Comment to the discussion by Gusztav Molnar. In Bakk, M., Szekely, I., & Toro, T.T. (Eds.) On Midway. Stills of the Reform of the Transilvanian Hungarian Politics, Pro-Print, Csikszereda, Romania, pp.370-375. (in Hungarian)

1998

Opre, A., Andras, P. (1998). Amnesia: Neuropsychological interpretation and artificial neural network simulation. Creier, Cognitie, Comportament (Brain, Cognition, Behavior), vol.2., no.3-4., pp.315-335.

Andras, P. (1998) Neural Network Design Using Spectral Analysis. In Proceedings of ICONIP 98, vol.3., pp. 1228-1231., Ohmsha Press, Tokyo.

Opre, A., Andras P. (1998) Modeling Amnesic Syndrome with Artificial Neural Networks. In Proceedings of International Conference on Automation and Quality Control, pp.604-611.

1997

Andras, P. (1997). Knowledge Representation in Artificial Neural Networks. Annales Universitatis Occidentalis Timisensis, Philosophia, vol.IX, pp.173-185., TTimisoara, Romania.

András, P. (1997). Neural Networks for Decision Modeling. Creier, Cognitie, Comportament (Brain, Cognition, Behavior), vol.1., no.1., pp.10-36.

András, P. (1997). Approximation of Fractals with Neural Networks. Studia Universitatis “Babes-Bolyai” – Mathematica/span>,, vol. XLII., no.1., pp.15-23.

András, P. (1997) Systematic Development of WWW Pages. In Proceedings of Romanian Internet Learning Workshop, pp.126-133.

1996

András P. (1996). Modeling the Development of the Concept System. Studia Universitatis “Babes-Bolyai” - Informatica, Babes - Bolyai University, Cluj, Romania, vol.1., no.1., pp.113-122.

András, P. (1996) Approximation of Functions with Tree-structured Neural Networks. In Proceedings of International Conference on Approximation, Cluj, Romania, pp.1-9.

András, P. (1996) A Tree-structure Artificial Neural Network Applied for Chaotic Time Series Prediction. In A.M. Ramsey(ed.):Artificial Intelligence: Methodology, Systems, Applications, pp.119-125.

András, P. (1996) Tuning Fuzzy Rule Bases with a Genetic Algorithm. In Proceedings of ROSYCS '96, Iasi, Romania, pp.351-360.

András, P., András, A., Szabó, Zs. (1996) A Genetic Solution for the Cutting Stock Problem. In Proceedings of First On-Line Workshop on Soft Computing, pp.87-92.

András P. (1996). Increasing the Performance of Artificial Neural Networks Using Fuzzy Data. Preprint of Department of Mathematics and Computer Science, Babes-Bolyai University, Cluj, Romania, pp.7-21.

András P. (1996). The Structure of the Agent Programs. PC Report - Romania, Targu Mures, Romania (in Romanian)

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