Financial forecasting through unsupervised clustering and evolutionary trained neural networks. - Nicos G. Pavlidis; Dimitris K. Tasoulis; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2003)

Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. - Dimitris K. Tasoulis; Panagiota Spyridonos; Nicos G. Pavlidis; Dionisis A. Cavouras; Panagiota Ravazoula; George Nikiforidis; Michael N. Vrahatis (KES, 2003)

Vector evaluated differential evolution for multiobjective optimization. - Konstantinos E. Parsopoulos; Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2004)

Parallel differential evolution. - Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2004)

Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction. - Nicos G. Pavlidis; Dimitris K. Tasoulis; Michael N. Vrahatis (Computational Intelligence, 2005)

Spiking neural network training using evolutionary algorithms. - Nicos G. Pavlidis; O. K. Tasoulis; Vassilis P. Plagianakos; George Nikiforidis; Michael N. Vrahatis (IJCNN, 2005)

Human Designed Vs. Genetically Programmed Differential Evolution Operators. - Nicos G. Pavlidis; Vassilis P. Plagianakos; Dimitris K. Tasoulis; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2006)

Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. - Dimitris K. Tasoulis; Panagiota Spyridonos; Nicos G. Pavlidis; Vassilis P. Plagianakos; Panagiota Ravazoula; George Nikiforidis; Michael N. Vrahatis (Artif. Intell. Medicine, 2006)

Determining the number of real roots of polynomials through neural networks. - Bernard Mourrain; Nicos G. Pavlidis; Dimitris K. Tasoulis; Michael N. Vrahatis (Comput. Math. Appl., 2006)

New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks. - Vasileios L. Georgiou; Nicos G. Pavlidis; Konstantinos E. Parsopoulos; Philipos D. Alevizos; Michael N. Vrahatis (Int. J. Artif. Intell. Tools, 2006)

Computational Intelligence Methods for Financial Time Series Modeling. - Nicos G. Pavlidis; Dimitris K. Tasoulis; Vassilis P. Plagianakos; Michael N. Vrahatis (Int. J. Bifurc. Chaos, 2006)

Financial forecasting through unsupervised clustering and neural networks. - Nicos G. Pavlidis; Vassilis P. Plagianakos; Dimitris K. Tasoulis; Michael N. Vrahatis (Oper. Res., 2006)

Computational intelligence algorithms for risk-adjusted trading strategies. - Nicos G. Pavlidis; E. G. Pavlidis; Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2007)

Existence and computation of short-run equilibria in economic geography. - Nicos G. Pavlidis; Michael N. Vrahatis; Pascal Mossay (Appl. Math. Comput., 2007)

Dynamic Multi-Armed Bandit with Covariates. - Nicos G. Pavlidis; Dimitris K. Tasoulis; Niall M. Adams; David J. Hand (ECAI, 2008)

Simulation Studies of Multi-armed Bandits with Covariates. - Nicos G. Pavlidis; Dimitris K. Tasoulis; David J. Hand (UKSim, 2008)

Prospects for Bandit Solutions in Sensor Management. - Nicos G. Pavlidis; Niall M. Adams; David Nicholson; David J. Hand (Comput. J., 2010)

Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences. - Adam V. Adamopoulos; Nicos G. Pavlidis; Michael N. Vrahatis (Math. Comput. Model., 2010)

lambda-Perceptron: An adaptive classifier for data streams. - Nicos G. Pavlidis; Dimitris K. Tasoulis; Niall M. Adams; David J. Hand (Pattern Recognit., 2011)

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. - Michael G. Epitropakis; Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Trans. Evol. Comput., 2011)

Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. - Michael G. Epitropakis; Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2012)

Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. - Michael G. Epitropakis; Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (SETN, 2012)

Adaptive consumer credit classification. - Nicos G. Pavlidis; Dimitris K. Tasoulis; Niall M. Adams; David J. Hand (J. Oper. Res. Soc., 2012)

Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. - Christoforos Anagnostopoulos; Dimitris K. Tasoulis; Niall M. Adams; Nicos G. Pavlidis; David J. Hand (Stat. Anal. Data Min., 2012)

The effect of recovery algorithms on compressive sensing background subtraction. - Rhian Davies; Lyudmila Mihaylova; Nicos G. Pavlidis; Idris A. Eckley (SDF, 2013)

Maximum Clusterability Divisive Clustering. - David P. Hofmeyr; Nicos G. Pavlidis (SSCI, 2015)

Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (CoRR, 2015)

Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. - Nicos G. Pavlidis; David P. Hofmeyr; Sotiris K. Tasoulis (CoRR, 2015)

Minimum density hyperplanes in the feature space. - Katie R. Yates; Nicos G. Pavlidis (IEEE BigData, 2016)

Minimum Density Hyperplanes. - Nicos G. Pavlidis; David P. Hofmeyr; Sotiris K. Tasoulis (J. Mach. Learn. Res., 2016)

Divisive clustering of high dimensional data streams. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (Stat. Comput., 2016)

Subspace Clustering of Very Sparse High-Dimensional Data. - Hankui Peng; Nicos G. Pavlidis; Idris A. Eckley; Ioannis Tsalamanis (IEEE BigData, 2018)

Subspace Clustering with Active Learning. - Hankui Peng; Nicos G. Pavlidis (IEEE BigData, 2019)

Robust Functional Regression for Outlier Detection. - Harjit Hullait; David S. Leslie; Nicos G. Pavlidis; Steve King 003 (AALTD@PKDD/ECML, 2019)

PPCI: an R Package for Cluster Identification using Projection Pursuit. - David P. Hofmeyr; Nicos G. Pavlidis (R J., 2019)

Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (Stat. Comput., 2019)

Metric Learning for Simulation Analytics. - Graham Laidler; Lucy E. Morgan; Barry L. Nelson; Nicos G. Pavlidis (WSC, 2020)

Nonlinear dimensionality reduction for clustering. - Sotiris K. Tasoulis; Nicos G. Pavlidis; Teemu Roos (Pattern Recognit., 2020)

Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning. - Hankui Peng; Nicos G. Pavlidis (CoRR, 2021)

Robust Function-on-Function Regression. - Harjit Hullait; David S. Leslie; Nicos G. Pavlidis; Steve King 003 (Technometrics, 2021)

Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning. - Hankui Peng; Nicos G. Pavlidis (Data Min. Knowl. Discov., 2022)

The Algorithm Selection Problem for Solving Sudoku with Metaheuristics. - Danielle Notice; Ahmed Kheiri; Nicos G. Pavlidis (CEC, 2023)

Ensemble Clustering for Boundary Detection in High-Dimensional Data. - Panagiotis Anagnostou; Nicos G. Pavlidis; Sotiris K. Tasoulis (LOD (2), 2023)

Supervised Dimensionality Reduction for the Algorithm Selection Problem. - Danielle Notice; Nicos G. Pavlidis; Ahmed Kheiri (UKCI, 2024)

Instance Space Analysis of the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis. - Danielle Notice; Hamed Soleimani; Nicos G. Pavlidis; Ahmed Kheiri; Mario Andrés Muñoz (GECCO, 2025)