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Date: June 20, 2012

Neuroscience - Computation with dynamic neural activity patterns
Complex systems - Network analysis, systems theory and modelling
Computational intelligence

Other topics

 

Neuroscience - Computation with dynamic neural activity patterns

1.    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.

2.    Stein, W, Städele, 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.

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

4.    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.

5.    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.

6.    Andras, PE, Fox, D, Städele,C, Stein, W (2010). Optical recording of detailed neural activity from single and multiple neurons of the crab stomatogastric ganglion. Society for Neuroscience Abstracts, 615.18.

7.    Fox, D, Andras, P (2010). A model of endocannabinoid 2-AG-mediated depolarization-induced suppression of inhibition. BMC Neuroscience 2010, 11(Suppl 1):P189. Abstracts of CNS'2010.

8.    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.

9.    Andras, PE (2009). Analysis of noisy voltage-sensitive dye imaging data recorded from the crab stomatogastric ganglion. Society for Neuroscience Abstracts, 288.10.

10. Andras, PE, Fourie, DL, Whittington, MA (2008). Voltage-sensitive dye imaging of the crab stomatogastric ganglion. Society for Neuroscience Abstracts, 693.2.

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

12. Fourie, DL, Andras, P (2007) Open source simulation of the pyloric network. BMC Neuroscience 2007, 8(Suppl 2):P8 (6 July 2007). Abstracts of CNS’2007.

13. 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.

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

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

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

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

  1. Andras, P (2005). Pattern computation in neural communication systems. Biological Cybernetics, 92: 452-460.
  2. Andras, P (2005). Neural activity pattern systems. Neurocomputing, 65-66: 531-536.
  3. Andras, P and Wennekers, T (2005). Cortical activity pattern computation. In Proceedings of IPCAT’2005, pp.153-161.
  4. Andras, P. (2004). Pattern Languages: A New Paradigm for Neurocomputation. Neurocomputing, vol.58-60, pp.223-228.
  5. Andras, P. (2004) Neural communication systems. In Proceedings of the International Joint Conference on Neural Networks 2004.
  6. Andras, P. (2004) A model for emergent chaotic order in small neural networks. CS-TR-860, School of Computing Science, University of Newcastle, UK.
  7. Andras, P. (2003). A Model for Emergent Complex Order in Small Neural Networks. Journal of Integrative Neuroscience, vol.2., no.1., pp. 55-70.
  8. 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.
  9. Andras, P. (2003) Comparing Neurophysiological Measurements of Simulated and Real Brains. Neurocomputing, vol. 52-54., pp.677-682.
  10. Andras, P. (2003) Understanding Neural Computation in Terms of Pattern Languages. Proceedings of the International Joint Conference on Neural Networks 2003, pp. 1385-1390.
  11. Andras, P. (2002). Computation with Chaotic Patterns.  Neurocomputing (Special Issue 2002), vol.44-46., pp.263-268.
  12. András, P., Panzeri, S. and Young, M.P. (2002). Towards Statistically Valid Population Decoding Models.  Neurocomputing (Special Issue 2002), vol. 44-46., pp.269-274.
  13. 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.
  14. Andras, P. (2001) The Sierpinski brain. In Proceedings of the International Joint Conference on Neural Networks 2001, vol.1., pp.654-659.
  15. Andras, P., Panzeri, S., and Young, M.P. (2001). Back-computation of Neurons’ Bayesian Prior Expectations of Visual Stimuli by an Information Maximization Method. In Abstracts of the 2001 Annual Conference of the Society for Neuroscience, San Diego, US, paper 821.17.
  16.  Martin, R., Kaiser, M., Andras, P., and Young, M.P. (2001). Is the Brain a Scale-free Network ? In Abstracts of the 2001 Annual Conference of the Society for Neuroscience, San Diego, US, paper 816.14.
  17.  András, P. (2000) The Role of Brain Chaos. In Abstract Collection of the 3rd Emernet Workshop, Durham, UK.
  18. András, P. (2000) The Role of Brain Dynamics: A Visual Perspective. In Abstract Collection of the 7th Hungarian Vision Symposium, Budapest, Hungary.
  19. András, P. (2000) How to Use Neural Chaos to Produce High Precision Behavior ? In Abstract Collection of the 8th Dynamical Neurosciences Symposium: Scales of Plasticity and Learning, New Orleans, US.

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

38. 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.

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

40. Opre, A., András, P. (1998) An Artificial Neural Network for Simulation and Study of the Amnesic Syndrome. In Abstract Collection of 2nd International Workshop of Neural Modeling of Psychological Disorders, Washington, D.C., USA., pp.29.

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

42. András, P. (1996) Modelling Human Decisions with Neural Networks. In Collection of Abstracts of 2nd Romanian Conference of Cognitive Science, Cluj, Romania, (in Romanian).

43. András, P. (1995) Neural Networks Applied for Decision Modeling. In Collection of Abstracts of First Romanian Conference of Cognitive Science, Ilieni, Romania (in Romanian)

 

Complex systems - Network analysis, systems theory and modelling

Network analysis, Systems theory, Modelling the evolution of cooperation

Network analysis

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

2.    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.

3.    Andras, P (2009). Networks of artificial social interactions. Accepted for publication in Proceedings of European Conference on Artificial Life – ECAL 2009.

4.    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.

5.    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.

  1. Idowu, O, and Andras, P (2005). Identification of functionally essential proteins from protein interaction networks. In: Proceedings of CIMED 2005, pp.330-333
  2. 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, Stanford, USA, California, pp. 623-625.
  3. 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), Bellini, P., Bohner, S.A., Steffen, B. (eds.) pp.29-36,  Florence, Italy 14-16 April 2004, IEEE Computer Society
  4. Lynden, S.J., Idowu, O.C., Periorellis, P., Young, M.P. and Andras, P. (2004). Integrating Heterogeneous Bioinformatics Data Sources for Protein Interaction Network Topology Analysis. In Abstracts Proceedings of the 5th International Conference on System Biology, Heidelberg, Germany, pp.239.
  5. Lynden, S.J., Idowu, O.C., Periorellis, P., Young, M.P. and Andras, P. (2004). Protein interaction network topology analysis for drug target discovery. In the Abstract Proceedings of the 2nd Annual Meeting of  Japan Human Proteomics, Japan, pp.32.
  6. Idowu, O.C., Lynden, S.J., Periorellis, P., Young, M.P. and Andras, P. (2004). Statistical Analysis of Bacillus subtilis Protein-protein Interaction Network. In Abstracts Proceedings of the 22nd International Conference on Statistical Physics, Bangalore, India, pp.120.
  7. Young, MP, Andras, P, O’Neal, MA (2002). Method and apparatus for identifying components of a network having high importance for network integrity. UK Patent (2002) GB 0225109.8, World Patent (2003) WO/2004/040497, European Patent (2003) EP1556819, United States Patent (2005) 20050286414.
 
Systems theory
  1. Andras, P (2011). Research: metrics, quality, and management implications. Research Evaluation, 20: 90-106.

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

3.    Andras, P (2009). Modelling living systems. Accepted for publication in Proceedings of European Conference on Artificial Life – ECAL 2009.

4.    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.

5.    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.

6.    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.

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

8.    Andras, P & Charlton, B (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.

9.    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.

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

11. Andras, P and Andras, CD (2005). A systems theory interpretation of the origin of life. In Abstracts of ISOLAB’05, pp.17.

12. 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.

13. 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.

14. Charlton, B. and Andras, P. (2004). The Nature and Function of Management - a perspective from systems theory. Philosophy of Management, 3, 3-16.

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

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

17. 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.3., pp.291-298.

18. 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.

19. Andras, P. and Charlton, B.G. (2002). Hype and Spin in Universities. Accepted for publication in: Oxford Magazine.

20. 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.

 
Modelling the evolution of cooperation

1.    Andras, P (2009). Networks of artificial social interactions. Accepted for publication in Proceedings of European Conference on Artificial Life – ECAL 2009.

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

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

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

5.    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.

6.      Andras, P, Lazarus, L, Roberts, G, and Lynden, SJ (2005). Environmental risk. In Proceedings of the Joint Symposium on Socially Inspired Computing, pp. 88-94, ISBN 1-902956-48-4.

  1. 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.
  2. Andras, P & Lazarus, J (2004) Cooperation, Risk and the Evolution of Teamwork. In: Gold, N (Ed.) Teamwork: Multi-Professional Perspectives, Palgrave, pp.56-77.
  3. Andras, P., Roberts, G., Lazarus, J. (2002) Communication Complexity, Environmental Risk, and Cooperation. In Proceedings of AAMAS – II, pp.51-59.

10.  András P. (1996). The Minority Question - A Game Theory and Micro Economic Approach. Web - The Journal of the Max Weber Special Sociology College, Cluj, Romania, no.1., pp.56-74.

 

Computational intelligence

1.    Andras, P (2012). A Bayesian interpretation of the particle swarm optimization and its kernel extension. PLoS ONE, in press.

2.    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.  Accepted for publication in the Proceedings of the ICONIP’2012.

3.    Yu, S-Y, Hammerla, N, Yan, J, Andras, P (2012). A statistical aimbot detection method for online FPS games. In proceedings of the International Joint Conference on Neural Networks (IJCNN 2012), DOI: 10.1109/IJCNN.2012.6252489.

4.      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.

5.    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.

6.    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.

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

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

9.    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.

10. 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.

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

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

13. 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.

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

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

16.  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.

17. 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.

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

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

20. Andras, P. (1999). Selection of RBF Neural Networks with a Combined Evolutionary and Back-propagation Method. Accepted for publication in Preprint of Department of Mathematics and Computer Science, Babes-Bolyai University, Cluj, Romania.

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

22. András, P., András, A. (1998) Comparison of Evolutionary Selection Methods for RBF Neural Networks. To appear in the Proceedings of ROSYCS’98 Conference.

23. András, P. (1998) A Neural Network for Self-Adaptive Classification. In Abstract Collection of 2nd International Conference on Neural Modeling, Boston, USA., pp.51.

24. Andras, P. (1998) A New Approach to Neural Network Design. In Abstract Collection of 3rd Romanian Cognitive Science Conference, Timisoara, Romania., pp.3.

25. Csato, L., Andras, P. (1998) Neural Network Model for Nonlinearity Detection. In Abstract Collection of CSCS'98, Szeged, Hungary.

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

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

28. András, P. (1997) Evolutionary Optimization of Parallel Processing. In Collection of Abstracts, 2nd Romanian - Hungarian Joint Conference on Pure and Applied Mathematics, Ilieni, Romania, pp.1.

29. András, P. (1997) A Chaotic Neural Memory Model. In Collection of Abstracts, Memory Systems Symposium, Cluj, Romania, pp.6.

30. 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.

31. András, P. (1996) Approximation of Functions with Tree-structured Neural Networks. In Proceedings of International Conference on Approximation, Cluj, Romania, vol.2. pp.1-9.

32. 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, IOS Press, Oxford, 1996, pp.119-125.

33. András, P. (1996) Tuning Fuzzy Rule Bases with a Genetic Algorithm. In Proceedings of ROSYCS '96, Iasi, Romania, vol.1. pp.351-360.

34. 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, Nagoya, Japan, pp.87-92.

35. 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.

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

37. András, P. (1996) Approximation of Functions with Recurrent Neural Networks. In Abstracts - Hungarian Student's Scientific Session - Spring '96, Cluj, Romania, pp.93-95. (in Hungarian)

 

Other topics
Research policy
  1. Andras, P (2011). Research: metrics, quality, and management implications. Research Evaluation, 20: 90-106.
  2. Andras, P, Charlton, BG (2009). Why are top universities losing their lead? – An economics modelling –based approach. Science and Public Policy, 36, 317-330.
  3. 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.

4.      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.

5.      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.

  1. Charlton BG, Andras P (2006). Globalization in science education: An inevitable and beneficial trend. Medical Hypotheses, 66: 869-873.
  2. Charlton BG, Andras P (2006). Oxbridge versus the 'Ivy League": 30 year citation trends. Oxford Magazine, 255: 16-17.
  3. Charlton B, Andras P (2006). Reply to May and Harvey. Oxford Magazine, 255: 18-19.
  4. Charlton BG, Andras P (2005). The Need for a New Specialist Professional Research System of “Pure” Medical Science. PLoS Medicine 2(8): e285.
  5. 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.
  6. Andras P. and Charlton B.G. (2004). European Science must Embrace Modernization. Nature, vol.429, pp.699.
  7. 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.
  8. Charlton, B.G. and Andras, P. (2002). A System Poisoned by Deceit. The Times Higher Education Supplement, October 4, 2002.
Other
  1. Crabbe, S, Andras, P (2012). Computer anxiety and the Big Five. Accepted for publication in the proceedings of the Psychology of Programming Interest Group Annual Conference – PPIG 2012.
  2. Sandor, Z. and Andras, P. (2004). Alternative Sampling Methods for Estimating Multivariate Normal Probabilities. Journal of Econometrics, vol.120, no.2.,  207-234.
  3. 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.
  4. Andras, P. and Charlton, B.G. (2002). Commentary on ‘Clinical Evaluation’ by Sweeney and Kernick. Accepted for publication in the Journal of Evaluation in Clinical Practice, vol.8., no.2.
  5. Andras, P. and Charlton, B.G. (2002). Unhealthy Hype. Spiked-Online, May 14, 2002, http://www.spiked-online.com/Articles/00000006D8E9.htm.
  6. 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)
  7. András, P. (1997) Systematic Development of WWW Pages. In Proceedings of Romanian Internet Learning Workshop, Ilieni, Romania, pp. 126-133.

8.      András, P., Orbán, Gy., András, Á., Balázs, I., Gál, M. (1997) Multimedia Tools Applied in Literature Education. In Collection of Abstracts of SZÁMALK 97 Conference, Ilieni, Romania.


 

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