Dimitris K. Tasoulis

J. Open Source Softw., March, 2023

2013

Random direction divisive clustering.

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[DOI]

Pattern Recognit. Lett., 2013

Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown.

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[DOI]

Comput. Stat., 2013

2012

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

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[DOI]

Stat. Anal. Data Min., 2012

Erratum to "Exponentially weighted moving average charts for detecting concept drift" [Pattern Recognition Lett. 33(2) (2012) 191-198].

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[DOI]

Pattern Recognit. Lett., 2012

Exponentially weighted moving average charts for detecting concept drift.

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[DOI]

Pattern Recognit. Lett., 2012

Adaptive consumer credit classification.

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[DOI]

J. Oper. Res. Soc., 2012

Clustering of High Dimensional Data Streams.

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[DOI]

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

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

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[DOI]

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Density based Projection Pursuit Clustering.

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[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

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

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[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Nonparametric Monitoring of Data Streams for Changes in Location and Scale.

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[DOI]

Technometrics, 2011

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators.

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[DOI]

IEEE Trans. Evol. Comput., 2011

lambda-Perceptron: An adaptive classifier for data streams.

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[DOI]

Pattern Recognit., 2011

2010

Enhancing principal direction divisive clustering.

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[DOI]

Pattern Recognit., 2010

Selective fusion of out-of-sequence measurements.

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[DOI]

Inf. Fusion, 2010

Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring.

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[DOI]

Proceedings of the 19th International Conference on Computational Statistics, 2010

Evolutionary Principal Direction Divisive Partitioning.

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[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Temporally adaptive estimation of logistic classifiers on data streams.

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[DOI]

Adv. Data Anal. Classif., 2009

Online annotation and prediction for regime switching data streams.

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[DOI]

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Projection Based Clustering of Gene Expression Data.

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[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008

Computational Intelligence Algorithms and DNA Microarrays.

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[DOI]

Proceedings of the Computational Intelligence in Bioinformatics, 2008

Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks.

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[DOI]

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

Simulation Studies of Multi-armed Bandits with Covariates.

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[DOI]

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

Dynamic Multi-Armed Bandit with Covariates.

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[DOI]

Proceedings of the ECAI 2008, 2008

Online optimization for variable selection in data streams.

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[DOI]

Proceedings of the ECAI 2008, 2008

2007

Generalizing the k-Windows clustering algorithm in metric spaces.

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[DOI]

Math. Comput. Model., 2007

Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography.

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[DOI]

Yannis C. Stamatiou

Math. Comput. Model., 2007

Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification.

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[DOI]

Neurocomputing, 2007

Visualising the Cluster Structure of Data Streams.

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[DOI]

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Should Delayed Measurements Always be Incorporated in Filtering?

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[DOI]

Proceedings of the 15th International Conference on Digital Signal Processing, 2007

2006

Oriented <i>k</i>-windows: A PCA driven clustering method.

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[DOI]

Dimitrios Zeimpekis

Efstratios Gallopoulos

Proceedings of the Advances in Web Intelligence and Data Mining, 2006

Financial forecasting through unsupervised clustering and neural networks.

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[DOI]

Oper. Res., 2006

Unsupervised Clustering Using Fractal Dimension.

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[DOI]

Int. J. Bifurc. Chaos, 2006

Computational Intelligence Methods for Financial Time Series Modeling.

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[DOI]

Int. J. Bifurc. Chaos, 2006

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

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[DOI]

Comput. Math. Appl., 2006

Unsupervised clustering in mRNA expression profiles.

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[DOI]

Comput. Biol. Medicine, 2006

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

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[DOI]

Panagiota Spyridonos

Panagiota Ravazoula

George Nikiforidis

Artif. Intell. Medicine, 2006

Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data.

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[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2006

Unsupervised Clustering In Streaming Data.

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[DOI]

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data.

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[DOI]

Proceedings of the Computational Science and Its Applications, 2006

Human Designed Vs. Genetically Programmed Differential Evolution Operators.

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[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Unsupervised clustering on dynamic databases.

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[DOI]

Pattern Recognit. Lett., 2005

Privacy preserving electronic data gathering.

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[DOI]

Math. Comput. Model., 2005

Transformations of two cryptographic problems in terms of matrices.

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[DOI]

SIGSAM Bull., 2005

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

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Proceedings of the IASTED International Conference on Computational Intelligence, 2005

The new window density function for efficient evolutionary unsupervised clustering.

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[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima.

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[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Unsupervised distributed clustering.

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Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2004

Generalized locally recurrent probabilistic neural networks for text-independent speaker verification.

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[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Online Neural Network Training for Automatic Ischemia Episode Detection.

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[DOI]

Liviu Vladutu

Anastasios Bezerianos

Proceedings of the Artificial Intelligence and Soft Computing, 2004

Dynamic Search Trajectory Methods for Neural Network Training.

[BibT_eX]

[DOI]

Yiannis G. Petalas

Proceedings of the Artificial Intelligence and Soft Computing, 2004

Parallel differential evolution.

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[DOI]

Konstantinos E. Parsopoulos

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Vector evaluated differential evolution for multiobjective optimization.

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[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Parallelizing the Unsupervised k-Windows Clustering Algorithm.

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[DOI]

Panagiotis D. Alevizos

Proceedings of the Parallel Processing and Applied Mathematics, 2003

Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm.

[BibT_eX]

[DOI]

Panagiotis D. Alevizos

Basilis Boutsinas

Proceedings of the Parallel Computing Technologies, 2003

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

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[DOI]

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

Locally recurrent probabilistic neural network for text-independent speaker verification.

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[DOI]

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Financial forecasting through unsupervised clustering and evolutionary trained neural networks.

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[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002

Improving the Orthogonal Range Search k -Windows Algorithm.

[BibT_eX]

[DOI]

Panagiotis D. Alevizos

Basilis Boutsinas