D. Tasoulis

发表

Dynamic Multi-Armed Bandit with Covariates

Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, 2008, European Conference on Artificial Intelligence.

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

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2012, Pattern Recognit. Lett..

HiPart: Hierarchical Divisive Clustering Toolbox

V. Plagianakos, S. Tasoulis, D. Tasoulis, 2022, J. Open Source Softw..

Density based Projection Pursuit Clustering

Dimitris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, 2012, 2012 IEEE Congress on Evolutionary Computation.

Enhancing principal direction divisive clustering

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2010, Pattern Recognit..

Improving Principal Direction Divisive Clustering

D. K. Tasoulis, S. Tasoulis, D. Tasoulis, 2008 .

Computational Intelligence Algorithms and DNA Microarrays

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2008, Computational Intelligence in Bioinformatics.

Generalizing the k-Windows clustering algorithm in metric spaces

Dimitris K. Tasoulis, Michael N. Vrahatis, M. N. Vrahatis, 2007, Math. Comput. Model..

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

Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis, 2007, Neurocomputing.

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

Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, 2006, Artif. Intell. Medicine.

Unsupervised clustering in mRNA expression profiles

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2006, Comput. Biol. Medicine.

Computational Intelligence Methods for Financial Time Series Modeling

Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, 2006, Int. J. Bifurc. Chaos.

Financial forecasting through unsupervised clustering and neural networks

Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, 2006, Oper. Res..

Computational intelligence techniques for acute leukemia gene expression data classification

V.P. Plagianakos, M.N. Vrahatis, M. N. Vrahatis, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

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

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2005, 2005 IEEE Congress on Evolutionary Computation.

Unsupervised clustering on dynamic databases

Dimitris K. Tasoulis, Michael N. Vrahatis, M. N. Vrahatis, 2005, Pattern Recognit. Lett..

Clustering inEvolutionary Algorithms toEfficiently ComputeSimultaneously Local andGlobal Minima

V. P. Plagianakos, D. K. Tasoulis, V. Plagianakos, 2005 .

Computational Intelligence TechniquesforAcute Leukemia Gene ExpressionDataClassification

D. K. Tasoulis, V. Plagianakos, N. Vrahatis, 2005 .

Novel Approaches to Unsupervised Clustering Through k-Windows Algorithm

M. N. Vrahatis, D. K. Tasoulis, D. Tasoulis, 2005 .

Unsupervised distributed clustering

Dimitris K. Tasoulis, Michael N. Vrahatis, M. N. Vrahatis, 2004, Parallel and Distributed Computing and Networks.

Novel Approaches in Unsupervised Clustering

D. K. Tasoulis, M. N. Vrahatis, D. Tasoulis, 2004 .

Unsupervised Clustering of Bioinformatics Data

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2004 .

Selective fusion of out-of-sequence measurements

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2010, Inf. Fusion.

Exploiting and Handling Delayed Measurements in Sensor Systems

D.K. Tasoulis, N.M. Adams, D.J. Hand, 2008, 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008).

Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Selective Fusion of Delayed Measurements in Filtering

N.M. Adams, D. Hand, D.K. Tasoulis, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

Should Delayed Measurements Always be Incorporated in Filtering?

Dimitris K. Tasoulis, David J. Hand, D. Hand, 2007, 2007 15th International Conference on Digital Signal Processing.

Studying the performance of artificial neural networks on problems related to cryptography

Dimitris K. Tasoulis, Michael N. Vrahatis, E. C. Laskari, 2006 .

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

Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Locally Recurrent Probabilistic Neural Networks with Application to Speaker Verification

Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, 2004 .

Cryptography through Interpolation, Approximation and Computational Intelligence Methods

Dimitris K. Tasoulis, Michael N. Vrahatis, G. C. Meletiou, 2003 .

Estimating the number of clusters using a windowing technique

B. Boutsinas, D. K. Tasoulis, M. N. Vrahatis, 2006, Pattern Recognition and Image Analysis.

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

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael N. Vrahatis, 2003, KES.

A Review of Major Application Areas of Differential Evolution

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2008 .

The new window density function for efficient evolutionary unsupervised clustering

Dimitris K. Tasoulis, Michael N. Vrahatis, M. N. Vrahatis, 2005, 2005 IEEE Congress on Evolutionary Computation.

Efficient Evolutionary Unsupervised Clustering

D. K. Tasoulis, M. N. Vrahatis, V. Plagianakos, 2005 .

Evolutionary Principal Direction Divisive Partitioning

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2010, IEEE Congress on Evolutionary Computation.

Projection Based Clustering of Gene Expression Data

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2009, CIBB.

Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2006, AIAI.

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

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2010, COMPSTAT.

Determining the number of real roots of polynomials through neural networks

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael N. Vrahatis, 2006, Comput. Math. Appl..

Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael N. Vrahatis, 2005, Computational Intelligence.

Computing the Number of Real Roots of Polynomials through Neural Networks

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael N. Vrahatis, 2004 .

Financial forecasting through unsupervised clustering and evolutionary trained neural networks

Dimitris K. Tasoulis, Michael N. Vrahatis, M. N. Vrahatis, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

A FIRST STUDY OF THE NEURAL NETWORK APPROACH IN THE RSA CRYPTOSYSTEM

Michael N. Vrahatis, G. C. Meletiou, M. N. Vrahatis, 2002 .

Clustering of High Dimensional Data Streams

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2012, SETN.

Parallel differential evolution

Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

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

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2012, Stat. Anal. Data Min..

Human Designed Vs. Genetically Programmed Differential Evolution Operators

Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Vector evaluated differential evolution for multiobjective optimization

Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael G. Epitropakis, 2011, IEEE Transactions on Evolutionary Computation.

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

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael G. Epitropakis, 2012, 2012 IEEE Congress on Evolutionary Computation.

Simulation Studies of Multi-armed Bandits with Covariates (Invited Paper)

Dimitris K. Tasoulis, Nicos G. Pavlidis, David J. Hand, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Nonparametric Monitoring of Data Streams for Changes in Location and Scale

Dimitris K. Tasoulis, Niall M. Adams, Gordon J. Ross, 2011, Technometrics.

Exponentially weighted moving average charts for detecting concept drift pdf

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2012, Pattern Recognit. Lett..

Visualising the Cluster Structure of Data Streams

Dimitris K. Tasoulis, Niall M. Adams, Gordon J. Ross, 2007, IDA.

Temporally adaptive estimation of logistic classifiers on data streams

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2009, Adv. Data Anal. Classif..

l-Perceptron : An adaptive classifier for data streams

D. K. Tasoulis, D. Hand, N. Pavlidis, 2010 .

Unsupervised Clustering Using Semi-Algebraic Data Structures

Michael N. Vrahatis, D. K. Tasoulis, M. N. Vrahatis, 2019, International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE 2004).

Random direction divisive clustering

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2013, Pattern Recognit. Lett..

Online annotation and prediction for regime switching data streams

Dimitris K. Tasoulis, Niall M. Adams, Gordon J. Ross, 2009, SAC '09.

Computational Intelligence Methods for Financial Time Series Modeling

M. N. Vrahatis, N. Pavlidis, V. Plagianakos, 2006, Int. J. Bifurc. Chaos.

TUMOR DETECTION IN COLONOSCOPY USING THE UNSUPERVISED k-WINDOWS CLUSTERING ALGORITHM AND NEURAL NETWORKS

V. P. Plagianakos, D. K. Tasoulis, M. N. Vrahatis, 2004 .

Computational Intelligence Methods for Financial Forecasting

Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, 2013 .

Parallelizing the Unsupervised k-Windows Clustering Algorithm

Dimitris K. Tasoulis, Michael N. Vrahatis, Panagiotis D. Alevizos, 2003, PPAM.

Improving the orthogonal range search k-windows algorithm

Dimitris K. Tasoulis, Michael N. Vrahatis, Basilis Boutsinas, 2002, 14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings..

lambda-Perceptron: An adaptive classifier for data streams

Niall M. Adams, Nicos G. Pavlidis, David J. Hand, 2011, Pattern Recognit..

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

Dimitris K. Tasoulis, Michael N. Vrahatis, Yannis C. Stamatiou, 2007, Math. Comput. Model..

Online optimization for variable selection in data streams

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2008, ECAI.

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

Dimitris K. Tasoulis, Niall M. Adams, Gordon J. Ross, 2012, Comput. Stat..

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

Gordon J. Ross, Niall M. Adams, D. Tasoulis, 2012, Computational Statistics.

Transformations of two cryptographic problems in terms of matrices

Dimitris K. Tasoulis, Michael N. Vrahatis, Elena C. Laskari, 2005, SIGS.

Matrix representation of cryptographic functions

Dimitris K. Tasoulis, Michael N. Vrahatis, E. C. Laskari, 2013 .

Unsupervised Clustering Using Fractal Dimension

Dimitris K. Tasoulis, Michael N. Vrahatis, D. Tasoulis, 2006, Int. J. Bifurc. Chaos.

Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data

Dimitris K. Tasoulis, Michael N. Vrahatis, Elena C. Laskari, 2006, ICCSA.

Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm

Dimitris K. Tasoulis, Michael N. Vrahatis, Basilis Boutsinas, 2003, PaCT.

Density Based Text Clustering

D. K. Tasoulis, M. N. Vrahatis, E. K. Ikonomakis, 2019, Recent Progress in Computational Sciences and Engineering.

Oriented k-windows: A PCA driven clustering method

Dimitris K. Tasoulis, Michael N. Vrahatis, Efstratios Gallopoulos, 2006, Advances in Web Intelligence and Data Mining.