Nicos G. Pavlidis

48 papers A 2B 9Misc 1Journal 25Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Instance Space Analysis of the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis. GECCO Danielle Notice, Hamed Soleimani, Nicos G. Pavlidis, Ahmed Kheiri, Mario Andrés Muñoz
2025	J	`jnl`	Simulation shapelets: Comparing characteristics of time-dynamic trajectories. J. Simulation Graham Laidler, Barry L. Nelson, Nicos G. Pavlidis
2024	—	`conf`	Supervised Dimensionality Reduction for the Algorithm Selection Problem. UKCI Danielle Notice, Nicos G. Pavlidis, Ahmed Kheiri
2023	—	`conf`	Ensemble Clustering for Boundary Detection in High-Dimensional Data. LOD (2) Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis
2023	B	`conf`	The Algorithm Selection Problem for Solving Sudoku with Metaheuristics. CEC Danielle Notice, Ahmed Kheiri, Nicos G. Pavlidis
2022	J	`jnl`	Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning. Data Min. Knowl. Discov. Hankui Peng, Nicos G. Pavlidis
2021	J	`jnl`	Robust Function-on-Function Regression. Technometrics Harjit Hullait, David S. Leslie, Nicos G. Pavlidis, Steve King
2021	J	`jnl`	Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning. CoRR Hankui Peng, Nicos G. Pavlidis
2020	Misc	`conf`	Metric Learning for Simulation Analytics. WSC Graham Laidler, Lucy E. Morgan, Barry L. Nelson, Nicos G. Pavlidis
2020	J	`jnl`	Nonlinear dimensionality reduction for clustering. Pattern Recognit. Sotiris K. Tasoulis, Nicos G. Pavlidis, Teemu Roos
2019	J	`jnl`	Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering. Stat. Comput. David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2019	J	`jnl`	PPCI: an R Package for Cluster Identification using Projection Pursuit. R J. David P. Hofmeyr, Nicos G. Pavlidis
2019	—	`conf`	Robust Functional Regression for Outlier Detection. AALTD@PKDD/ECML Harjit Hullait, David S. Leslie, Nicos G. Pavlidis, Steve King
2019	J	`jnl`	Subspace Clustering of Very Sparse High-Dimensional Data. CoRR Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis
2019	—	`conf`	Subspace Clustering with Active Learning. IEEE BigData Hankui Peng, Nicos G. Pavlidis
2019	J	`jnl`	Subspace Clustering with Active Learning. CoRR Hankui Peng, Nicos G. Pavlidis
2018	—	`conf`	Subspace Clustering of Very Sparse High-Dimensional Data. IEEE BigData Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis
2016	J	`jnl`	Divisive clustering of high dimensional data streams. Stat. Comput. David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2016	J	`jnl`	Minimum Density Hyperplanes. J. Mach. Learn. Res. Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
2016	—	`conf`	Minimum density hyperplanes in the feature space. IEEE BigData Katie R. Yates, Nicos G. Pavlidis
2015	—	`conf`	Maximum Clusterability Divisive Clustering. SSCI David P. Hofmeyr, Nicos G. Pavlidis
2015	J	`jnl`	Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. CoRR Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
2015	J	`jnl`	Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification. CoRR David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2013	—	`conf`	The effect of recovery algorithms on compressive sensing background subtraction. SDF Rhian Davies, Lyudmila Mihaylova, Nicos G. Pavlidis, Idris A. Eckley
2012	J	`jnl`	Adaptive consumer credit classification. J. Oper. Res. Soc. Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2012	J	`jnl`	Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. Stat. Anal. Data Min. Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, David J. Hand
2012	—	`conf`	Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2012	B	`conf`	Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2011	J	`jnl`	Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evol. Comput. Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2011	J	`jnl`	lambda-Perceptron: An adaptive classifier for data streams. Pattern Recognit. Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2010	J	`jnl`	Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences. Math. Comput. Model. Adam V. Adamopoulos, Nicos G. Pavlidis, Michael N. Vrahatis
2010	J	`jnl`	Prospects for Bandit Solutions in Sensor Management. Comput. J. Nicos G. Pavlidis, Niall M. Adams, David Nicholson, David J. Hand
2008	A	`conf`	Dynamic Multi-Armed Bandit with Covariates. ECAI Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2008	—	`conf`	Simulation Studies of Multi-armed Bandits with Covariates. UKSim Nicos G. Pavlidis, Dimitris K. Tasoulis, David J. Hand
2007	B	`conf`	Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2007	J	`jnl`	Existence and computation of short-run equilibria in economic geography. Appl. Math. Comput. Nicos G. Pavlidis, Michael N. Vrahatis, Pascal Mossay
2006	J	`jnl`	Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artif. Intell. Medicine Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis
2006	J	`jnl`	Computational Intelligence Methods for Financial Time Series Modeling. Int. J. Bifurc. Chaos Nicos G. Pavlidis, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2006	J	`jnl`	Determining the number of real roots of polynomials through neural networks. Comput. Math. Appl. Bernard Mourrain, Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
2006	J	`jnl`	Financial forecasting through unsupervised clustering and neural networks. Oper. Res. Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
2006	B	`conf`	Human Designed Vs. Genetically Programmed Differential Evolution Operators. IEEE Congress on Evolutionary Computation Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
2006	J	`jnl`	New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks. Int. J. Artif. Intell. Tools Vasileios L. Georgiou, Nicos G. Pavlidis, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
2005	B	`conf`	Spiking neural network training using evolutionary algorithms. IJCNN Nicos G. Pavlidis, O. K. Tasoulis, Vassilis P. Plagianakos, George Nikiforidis, Michael N. Vrahatis
2005	—	`conf`	Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction. Computational Intelligence Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
2004	B	`conf`	Parallel differential evolution. IEEE Congress on Evolutionary Computation Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2004	B	`conf`	Vector evaluated differential evolution for multiobjective optimization. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2003	B	`conf`	Financial forecasting through unsupervised clustering and evolutionary trained neural networks. IEEE Congress on Evolutionary Computation Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
2003	B	`conf`	Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. KES Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis