Dr Nicos Pavlidis

Senior Lecturer

Research Overview

My research interests are in the fields of statistics, data mining, and machine learning. My research focuses on the development of novel methods for clustering and classification that can handle high dimensionality and can adapt in response to time-varying population distributions.

Selected Publications Show all 30 publications

Minimum Density Hyperplanes
Pavlidis, N.G., Hofmeyr, D., Tasoulis, S. 28/09/2016 In: Journal of Machine Learning Research. 17, 156, p. 1-33. 33 p.
Journal article

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

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