Dr Nicos Pavlidis

Lecturer

Research Overview

My research interests are in the fields of statistics, data mining, and machine learning. My research focuses on the development of statistical and machine learning methods that are able to automatically handle time-varying population distributions, and can reveal temporal structure in the data. I am particularly interested in applications which involve data arriving sequentially and at a high frequency relative to the available storage and processing capabilities.

Adaptive consumer credit classification
Pavlidis, N., Tasoulis, D., Adams, N.M., Hand, D.J. 12/2012 In: Journal of the Operational Research Society. 63, 12, p. 1645-1654. 10 p.
Journal article

Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting
Epitropakis, M., Tasoulis, D.K., Pavlidis, N., Plagianakos, V.P., Vrahatis, M.N. 10/06/2012 In: 2012 IEEE Congress on Evolutionary Computation (CEC2012). IEEE 8 p.
Paper

Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification
Anagnostopoulos, C., Tasoulis, D.K., Adams, N.M., Pavlidis, N., Hand, D.J. 04/2012 In: Statistical Analysis and Data Mining. 5, 2, p. 139-166.
Journal article

Dynamic Estimation of Trade Costs from Real Exchange Rates
Pavlidis, E., Pavlidis, N. 2012 Lancaster : The Department of Economics
Working paper

Tracking differential evolution algorithms: an adaptive approach through multinomial distribution tracking with exponential forgetting
Epitropakis, M., Tasoulis, D., Pavlidis, N., Plagianakos, V.P., Vrahatis, M.N. 2012 In: Artificial Intelligence: Theories and Applications. Berlin : Springer Verlag p. 214-222. 9 p. ISBN: 978-3-642-30447-7. Electronic ISBN: 978-3-642-30448-4.
Chapter

Lambda-perceptron: an adaptive classifier for data-streams
Pavlidis, N., Tasoulis, D., Adams, N.M., Hand, D.J. 01/2011 In: Pattern Recognition. 44, 1, p. 78-96. 19 p.
Journal article

Enhancing differential evolution utilizing proximity-based mutation operators
Epitropakis, M., Tasoulis, D.K., Pavlidis, N., Plagianakos, V.P., Vrahatis, M.N. 2011 In: IEEE Transactions on Evolutionary Computation. 15, 1, p. 99-119. 21 p.
Journal article

Prospects for bandit solutions in sensor management
Pavlidis, N., Adams, N.M., Nicholson, M., Hand, D.J. 2010 In: The Computer Journal. 53, 9, p. 1370-1383. 14 p.
Journal article

Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences
Adamopoulos, A.V., Pavlidis, N., Vrahatis, M.N. 2010 In: Mathematical and Computer Modelling. 51, 3-4, p. 229-238. 10 p.
Journal article

Computational intelligence algorithms for risk-adjusted trading strategies.
Pavlidis, N., Pavlidis, E., Epitropakis, M., Plagianakos, V., Vrahatis, M. 01/2008 In: IEEE Congress on Evolutionary Computation CEC 2007. Singapore : IEEE p. 540-547. 8 p. ISBN: 978-1-4244-1339-3.
Chapter

Simulation studies of multi-armed bandits with covariates
Pavlidis, N., Tasoulis, D.K., Hand, D.J. 2008 In: 10th International Conference on Computer Modelling and Simulation (Cambridge) - 2008. N/A : unknown
Conference contribution

Recognizing predictive patterns in chaotic maps
Pavlidis, N., Adamopoulos, A.V., Vrahatis, M.N. 2008 In: 18th European Conference on Artificial Intelligence (Greece) 2008. N/A : unknown
Conference contribution

Dynamic multi-armed bandit with covariates
Pavlidis, N., Tasoulis, D.K., Adams, N.M., Hand, D.J. 2008 In: 18th European Conference on Artificial Intelligence (Greece) 2008. N/A : unknown
Conference contribution

Existence and computation of short-existence and computation of short-run equilibria in economic geography
Pavlidis, N., Vrahatis, M.N., Mossay, P. 1/01/2007 In: Applied Mathematics and Computation. 184, 1, p. 93-103. 11 p.
Journal article

Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence
Tasoulis, D.K., Spyridonos , P., Pavlidis, N., Cavouras , D., Ravazoula, P., Nikiforidis, G., Vrahatis, M.N. 11/2006 In: Artificial Intelligence in Medicine. 38, 3, p. 291-303. 13 p.
Journal article

Computational intelligence methods for financial time series modeling
Pavlidis, N., Tasoulis, D.K., Plagianakos, V.P., Vrahatis, M.N. 07/2006 In: International Journal of Bifurcation and Chaos. 16, 7, p. 2053–2062. 10 p.
Journal article

New self-adaptive probabilistic neural networks in bioinformatic and medical tasks
Georgiou, V.L., Pavlidis, N., Parsopoulos, K.E., Alevizos, P.D., Vrahatis, M.N. 06/2006 In: International Journal on Artificial Intelligence Tools,. 15, 3, p. 371-396. 26 p.
Journal article

Financial forecasting through unsupervised clustering and neural networks
Pavlidis, N., Plagianakos, V.P., Tasoulis, D.K., Vrahatis, M.N. 05/2006 In: Operational Research: An International Journal. 6, 2, p. 103-127. 25 p.
Journal article

Determining the number of real roots of polynomials through neural networks
Mourrain, B., Pavlidis, N., Tasoulis, D.K., Vrahatis, M.N. 02/2006 In: Computers and Mathematics with Applications. 51, 3-4, p. 527-536. 10 p.
Journal article

Human designed vs. genetically programmed differential evolution operators
Pavlidis, N., Tasoulis, D.K., Plagianakos, V.P., Vrahatis, M.N. 2006 In: IEEE Congress on Evolutionary Computation (CEC 2006). IEEE p. 1880-1886. 7 p. ISBN: 0-7803-9487-9.
Conference contribution

Computing Nash equilibria through computational intelligence methods
Pavlidis, N., Parsopoulos, K.E., Vrahatis, M.N. 03/2005 In: Journal of Computational and Applied Mathematics. 175, 1, p. 113-136. 24 p.
Journal article

Spiking neural network training using evolutionary algorithms
Pavlidis, N., Tasoulis, D., Plagianakos, V.P., Vrahatis, M.N., Nikiforidis, G. 2005 In: International Joint Conference on Neural Networks (IJCNN 2005). IEEE p. 2190-2194. 4 p. ISBN: 0-7803-9048-2.
Conference contribution

Parallel differential evolution
Tasoulis, D., Pavlidis, N., Plagianakos, V.P., Vrahatis, M.N. 2004 In: IEEE Congress on Evolutionary Computation (CEC 2004). IEEE p. 2023-2029. 7 p. ISBN: 0-7803-8515-2.
Conference contribution

Financial forecasting through unsupervised clustering and evolutionary trained neural networks
Pavlidis, N., Tasoulis, D., Vrahatis, M.N. 2003 In: IEEE Congress on Evolutionary Computation. IEEE p. 2314-2321. 8 p. ISBN: 0-7803-7804-0.
Conference contribution