Dimitris K. Tasoulis

63 papers A 3B 14Misc 5Journal 27Unranked 12

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