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

Minimum spectral connectivity projection pursuit: Divisive clustering using optimal projections for spectral clustering
Hofmeyr, D., Pavlidis, N.G., Eckley, I.A. 1/03/2019 In: Statistics and Computing. 29, 2, p. 391–414. 24 p.
Journal article

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

Divisive clustering of high dimensional data streams
Hofmeyr, D., Pavlidis, N., Eckley, I. 09/2016 In: Statistics and Computing. 26, 5, p. 1101–1120. 20 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

STORi:DSI: Efficient clustering for high-dimensional data sets
01/10/2017 → 31/03/2021
Research

International Symposium on Intelligent Data Analysis
Participation in conference -Mixed Audience

2nd Workshop on High Dimensional Big Data, in conjunction with IEEE Big Data Conference 2016
Participation in workshop, seminar, course

Advances in High Dimensional Big Data, in conjunction with the IEEE Big Data Conference 2015
Participation in workshop, seminar, course

International Symposium on Intelligent Data Analysis
Participation in conference -Mixed Audience

2013 IEEE Congress on Evolutionary Computation: Special Session on Niching Methods for Multimodal Optimization (Event)
Membership of committee

IEEE Transactions on Evolutionary Computation (Journal)
Publication peer-review

Classification in Data-Rich Dynamic Environments
Invited talk

International Symposium on Forecasting
Participation in conference -Mixed Audience

7th Hellenic Conference on Artificial Intelligence (Event)
Membership of committee

Dutch Cancer Society (External organisation)
Membership of committee

Routledge (Publisher)
Publication peer-review

Dynamic GARCH models
Invited talk

Computational Statistics and Data Analysis
Participation in conference -Mixed Audience

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Event)
Membership of committee

Information Sciences (Journal)
Publication peer-review

Optimization Letters (Journal)
Publication peer-review

Applied Soft Computing (Journal)
Publication peer-review

Royal Statistical Society Conference
Participation in conference -Mixed Audience

Ninth International Symposium on Intelligent Data Analysis (Event)
Membership of committee

Artificial Intelligence and Statistics
Participation in conference -Mixed Audience

Computational and Financial Econometrics
Participation in conference -Mixed Audience

IEEE Transactions on Neural Networks (Journal)
Publication peer-review

Eighth International Symposium on Intelligent Data Analysis (Event)
Membership of committee

Simulation studies of Multi-Armed with Covariates
Invited talk

Danielle Notice

PhD student, Associate Lecturer

Centre for Marketing Analytics & Forecasting, STOR-i Centre for Doctoral Training

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Maddie Smith

PhD student