Dimitris K. Tasoulis

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 2

Top Topics

Software Package

Parameter Values

Sequential Search

Top Venues

Pattern Recognit. Lett.

J. Open Source Softw.

Publications

Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. 8 (83) (2023)
Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
HiPart: Hierarchical Divisive Clustering Toolbox. CoRR (2022)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Random direction divisive clustering. Pattern Recognit. Lett. 34 (2) (2013)
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown. Comput. Stat. 28 (2) (2013)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, David J. Hand
Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. Stat. Anal. Data Min. 5 (2) (2012)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN (2012)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Clustering of High Dimensional Data Streams. SETN (2012)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation (2012)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Adaptive consumer credit classification. J. Oper. Res. Soc. 63 (12) (2012)
Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
Density based Projection Pursuit Clustering. IEEE Congress on Evolutionary Computation (2012)
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
Exponentially weighted moving average charts for detecting concept drift. Pattern Recognit. Lett. 33 (2) (2012)
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
Exponentially Weighted Moving Average Charts for Detecting Concept Drift CoRR (2012)
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
Erratum to "Exponentially weighted moving average charts for detecting concept drift" [Pattern Recognition Lett. 33(2) (2012) 191-198]. Pattern Recognit. Lett. 33 (16) (2012)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
lambda-Perceptron: An adaptive classifier for data streams. Pattern Recognit. 44 (1) (2011)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evol. Comput. 15 (1) (2011)
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
Nonparametric Monitoring of Data Streams for Changes in Location and Scale. Technometrics 53 (4) (2011)
Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand
Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring. COMPSTAT (2010)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Enhancing principal direction divisive clustering. Pattern Recognit. 43 (10) (2010)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Evolutionary Principal Direction Divisive Partitioning. IEEE Congress on Evolutionary Computation (2010)
Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Selective fusion of out-of-sequence measurements. Inf. Fusion 11 (2) (2010)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Temporally adaptive estimation of logistic classifiers on data streams. Adv. Data Anal. Classif. 3 (3) (2009)
Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
Projection Based Clustering of Gene Expression Data. CIBB (2009)
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
Online annotation and prediction for regime switching data streams. SAC (2009)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Dynamic Multi-Armed Bandit with Covariates. ECAI (2008)
Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks. UKSim (2008)
Nicos G. Pavlidis, Dimitris K. Tasoulis, David J. Hand
Simulation Studies of Multi-armed Bandits with Covariates. UKSim (2008)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams
Online optimization for variable selection in data streams. ECAI (2008)
Dimitris K. Tasoulis, Michael N. Vrahatis
Generalizing the k-Windows clustering algorithm in metric spaces. Math. Comput. Model. 46 (1-2) (2007)
Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis
Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. Neurocomputing 70 (7-9) (2007)
Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Dimitris K. Tasoulis, Michael N. Vrahatis
Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography. Math. Comput. Model. 46 (1-2) (2007)
Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Adams
Visualising the Cluster Structure of Data Streams. IDA (2007)
Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Should Delayed Measurements Always be Incorporated in Filtering? DSP (2007)
Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Unsupervised Clustering In Streaming Data. ICDM Workshops (2006)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
Computational Intelligence Methods for Financial Time Series Modeling. Int. J. Bifurc. Chaos 16 (7) (2006)
Bernard Mourrain, Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
Determining the number of real roots of polynomials through neural networks. Comput. Math. Appl. 51 (3-4) (2006)
Dimitris K. Tasoulis, Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis
Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data. ICCSA (5) (2006)
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
Financial forecasting through unsupervised clustering and neural networks. Oper. Res. 6 (2) (2006)
Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artif. Intell. Medicine 38 (3) (2006)
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
Human Designed Vs. Genetically Programmed Differential Evolution Operators. IEEE Congress on Evolutionary Computation (2006)
Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. AIAI (2006)
Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
Unsupervised clustering in mRNA expression profiles. Comput. Biol. Medicine 36 (10) (2006)
Dimitris K. Tasoulis, Michael N. Vrahatis
Unsupervised Clustering Using Fractal Dimension. Int. J. Bifurc. Chaos 16 (7) (2006)
Dimitris K. Tasoulis, Michael N. Vrahatis
Unsupervised clustering on dynamic databases. Pattern Recognit. Lett. 26 (13) (2005)
Dimitris K. Tasoulis, Michael N. Vrahatis
The new window density function for efficient evolutionary unsupervised clustering. Congress on Evolutionary Computation (2005)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction. Computational Intelligence (2005)
Elena C. Laskari, Gerasimos C. Meletiou, Dimitris K. Tasoulis, Michael N. Vrahatis
Transformations of two cryptographic problems in terms of matrices. SIGSAM Bull. 39 (4) (2005)
Elena C. Laskari, Gerasimos C. Meletiou, Dimitris K. Tasoulis, Michael N. Vrahatis
Privacy preserving electronic data gathering. Math. Comput. Model. 42 (7-8) (2005)
Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. Congress on Evolutionary Computation (2005)
Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis
Online Neural Network Training for Automatic Ischemia Episode Detection. ICAISC (2004)
Dimitris K. Tasoulis, Michael N. Vrahatis
Unsupervised distributed clustering. Parallel and Distributed Computing and Networks (2004)
Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Parallel differential evolution. IEEE Congress on Evolutionary Computation (2004)
Todor Ganchev, Nikos Fakotakis, Dimitris K. Tasoulis, Michael N. Vrahatis
Generalized locally recurrent probabilistic neural networks for text-independent speaker verification. ICASSP (1) (2004)
Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Vector evaluated differential evolution for multiobjective optimization. IEEE Congress on Evolutionary Computation (2004)
Yiannis G. Petalas, Dimitris K. Tasoulis, Michael N. Vrahatis
Dynamic Search Trajectory Methods for Neural Network Training. ICAISC (2004)
Dimitris K. Tasoulis, Panagiotis D. Alevizos, Basilis Boutsinas, Michael N. Vrahatis
Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm. PaCT (2003)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
Financial forecasting through unsupervised clustering and evolutionary trained neural networks. IEEE Congress on Evolutionary Computation (2003)
Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis
Locally recurrent probabilistic neural network for text-independent speaker verification. INTERSPEECH (2003)
Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis
Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. KES (2003)
Panagiotis D. Alevizos, Dimitris K. Tasoulis, Michael N. Vrahatis
Parallelizing the Unsupervised k-Windows Clustering Algorithm. PPAM (2003)
Panagiotis D. Alevizos, Basilis Boutsinas, Dimitris K. Tasoulis, Michael N. Vrahatis
Improving the Orthogonal Range Search k -Windows Algorithm. ICTAI (2002)