Dimitris K. Tasoulis

发表

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..

Data mining and cryptology

Dimitris K. Tasoulis, Michael N. Vrahatis, E. C. Laskari, 2003 .

UNSUPERVISED CLUSTER ANALYSIS IN BIOINFORMATICS

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

Locally recurrent probabilistic neural network for text-independent speaker verification

Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis, 2003, INTERSPEECH.

Adaptive consumer credit classification

Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, 2012, J. Oper. Res. Soc..

Enhancing principal direction divisive clustering

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

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.

Online optimization for variable selection in data streams

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

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).

Determining the number of real roots of polynomials through neural networks

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

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..

Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data

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

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

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

Unsupervised clustering on dynamic databases

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

Oriented k-windows: A PCA driven clustering method

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

Parallelizing the Unsupervised k-Windows Clustering Algorithm

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

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.

Online Neural Network Training for Automatic Ischemia Episode Detection

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

Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data

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

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

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael G. Epitropakis, 2012, SETN.

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).

Density based Projection Pursuit Clustering

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

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

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

Unsupervised distributed clustering

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

Nonparametric Monitoring of Data Streams for Changes in Location and Scale

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

Selective fusion of out-of-sequence measurements

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

Computational Intelligence Algorithms and DNA Microarrays

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

Privacy preserving electronic data gathering

Dimitris K. Tasoulis, Michael N. Vrahatis, Elena C. Laskari, 2005, Math. Comput. Model..

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators

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

Computational Intelligence Methods for Financial Time Series Modeling

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

Locally Recurrent Probabilistic Neural Networks with Application to Speaker Verification

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

Projection Based Clustering of Gene Expression Data

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

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).

Unsupervised Clustering Using Fractal Dimension

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

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..

Unsupervised clustering in mRNA expression profiles

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

Random direction divisive clustering

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

Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm

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

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).

Exponentially weighted moving average charts for detecting concept drift pdf

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

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.

Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction

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

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

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

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.

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.

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.

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..

Evolutionary Principal Direction Divisive Partitioning

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

Dynamic Multi-Armed Bandit with Covariates

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

Unsupervised Clustering of Bioinformatics Data

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

A Review of Major Application Areas of Differential Evolution

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

Temporally adaptive estimation of logistic classifiers on data streams

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

Visualising the Cluster Structure of Data Streams

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

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..

Online annotation and prediction for regime switching data streams

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

Dynamic Search Trajectory Methods for Neural Network Training

Dimitris K. Tasoulis, Michael N. Vrahatis, Yiannis G. Petalas, 2004, ICAISC.

Clustering of High Dimensional Data Streams

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

Financial forecasting through unsupervised clustering and neural networks

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

Generalizing the k-Windows clustering algorithm in metric spaces

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

Transformations of two cryptographic problems in terms of matrices

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

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..

Unsupervised Clustering In Streaming Data

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Computational Intelligence Methods for Financial Forecasting

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

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.

Cryptography through Interpolation, Approximation and Computational Intelligence Methods

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

Computing the Number of Real Roots of Polynomials through Neural Networks

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

Matrix representation of cryptographic functions

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

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

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