Nicos G. Pavlidis

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

The Algorithm Selection Problem for Solving Sudoku with Metaheuristics.

[BibT_eX]

[DOI]

Danielle Notice

Ahmed Kheiri

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning.

[BibT_eX]

[DOI]

Hankui Peng

Data Min. Knowl. Discov., 2022

2021

Robust Function-on-Function Regression.

[BibT_eX]

[DOI]

Technometrics, 2021

Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning.

[BibT_eX]

[DOI]

Hankui Peng

CoRR, 2021

2020

Nonlinear dimensionality reduction for clustering.

[BibT_eX]

[DOI]

Teemu Roos

Pattern Recognit., 2020

Metric Learning for Simulation Analytics.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2020

2019

Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering.

[BibT_eX]

[DOI]

Idris A. Eckley

Stat. Comput., 2019

PPCI: an R Package for Cluster Identification using Projection Pursuit.

[BibT_eX]

[DOI]

R J., 2019

Robust Functional Regression for Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

Subspace Clustering with Active Learning.

[BibT_eX]

[DOI]

Hankui Peng

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Subspace Clustering of Very Sparse High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Divisive clustering of high dimensional data streams.

[BibT_eX]

[DOI]

Idris A. Eckley

Stat. Comput., 2016

Minimum Density Hyperplanes.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Minimum density hyperplanes in the feature space.

[BibT_eX]

[DOI]

Katie R. Yates

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier.

[BibT_eX]

[DOI]

CoRR, 2015

Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification.

[BibT_eX]

[DOI]

Idris A. Eckley

CoRR, 2015

Maximum Clusterability Divisive Clustering.

[BibT_eX]

[DOI]

Christoforos Anagnostopoulos

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2013

The effect of recovery algorithms on compressive sensing background subtraction.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2013

2012

Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2012

Adaptive consumer credit classification.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2012

Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2011

lambda-Perceptron: An adaptive classifier for data streams.

[BibT_eX]

[DOI]

Pattern Recognit., 2011

2010

Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences.

[BibT_eX]

[DOI]

Adam V. Adamopoulos

Math. Comput. Model., 2010

Prospects for Bandit Solutions in Sensor Management.

[BibT_eX]

[DOI]

Comput. J., 2010

2008

Simulation Studies of Multi-armed Bandits with Covariates.

[BibT_eX]

[DOI]

David J. Hand

Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

Dynamic Multi-Armed Bandit with Covariates.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2008, 2008

2007

Existence and computation of short-run equilibria in economic geography.

[BibT_eX]

[DOI]

Pascal Mossay

Appl. Math. Comput., 2007

Computational intelligence algorithms for risk-adjusted trading strategies.

[BibT_eX]

[DOI]

E. G. Pavlidis

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Financial forecasting through unsupervised clustering and neural networks.

[BibT_eX]

[DOI]

Oper. Res., 2006

Computational Intelligence Methods for Financial Time Series Modeling.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2006

New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks.

[BibT_eX]

[DOI]

Vasileios L. Georgiou

Konstantinos E. Parsopoulos

Philipos D. Alevizos

Int. J. Artif. Intell. Tools, 2006

Determining the number of real roots of polynomials through neural networks.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2006

Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence.

[BibT_eX]

[DOI]

Panagiota Spyridonos

Panagiota Ravazoula

George Nikiforidis

Artif. Intell. Medicine, 2006

Human Designed Vs. Genetically Programmed Differential Evolution Operators.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction.

[BibT_eX]

Proceedings of the IASTED International Conference on Computational Intelligence, 2005

2004

Parallel differential evolution.

[BibT_eX]

[DOI]

Konstantinos E. Parsopoulos

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Vector evaluated differential evolution for multiobjective optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Financial forecasting through unsupervised clustering and evolutionary trained neural networks.

[BibT_eX]

[DOI]