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Dimitris K. Tasoulis
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2020 – today
- 2023
- [j25]Panagiotis Anagnostou
, Sotiris K. Tasoulis
HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. 8(83): 5024 (2023) - 2022
- [i2]Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
HiPart: Hierarchical Divisive Clustering Toolbox. CoRR abs/2209.08680 (2022)
2010 – 2019
- 2013
- [j24]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): 463-479 (2013) - [j23]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Random direction divisive clustering. Pattern Recognit. Lett. 34(2): 131-139 (2013) - 2012
- [j22]Nicos G. Pavlidis
Adaptive consumer credit classification. J. Oper. Res. Soc. 63(12): 1645-1654 (2012) - [j21]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): 191-198 (2012) - [j20]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): 2261 (2012) - [j19]Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis
Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. Stat. Anal. Data Min. 5(2): 139-166 (2012) - [c34]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c33]Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
Density based Projection Pursuit Clustering. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c32]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN 2012: 214-222 - [c31]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Clustering of High Dimensional Data Streams. SETN 2012: 223-230 - [i1]Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand:
Exponentially Weighted Moving Average Charts for Detecting Concept Drift. CoRR abs/1212.6018 (2012) - 2011
- [j18]Nicos G. Pavlidis
lambda-Perceptron: An adaptive classifier for data streams. Pattern Recognit. 44(1): 78-96 (2011) - [j17]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evol. Comput. 15(1): 99-119 (2011) - [j16]Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams:
Nonparametric Monitoring of Data Streams for Changes in Location and Scale. Technometrics 53(4): 379-389 (2011) - 2010
- [j15]Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Selective fusion of out-of-sequence measurements. Inf. Fusion 11(2): 183-191 (2010) - [j14]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Enhancing principal direction divisive clustering. Pattern Recognit. 43(10): 3391-3411 (2010) - [c30]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Evolutionary Principal Direction Divisive Partitioning. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c29]Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos
Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring. COMPSTAT 2010: 167-176
2000 – 2009
- 2009
- [j13]Christoforos Anagnostopoulos
Temporally adaptive estimation of logistic classifiers on data streams. Adv. Data Anal. Classif. 3(3): 243-261 (2009) - [c28]Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
Projection Based Clustering of Gene Expression Data. CIBB 2009: 228-239 - [c27]Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams:
Online annotation and prediction for regime switching data streams. SAC 2009: 1501-1505 - 2008
- [c26]Christoforos Anagnostopoulos
Online optimization for variable selection in data streams. ECAI 2008: 132-136 - [c25]Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Dynamic Multi-Armed Bandit with Covariates. ECAI 2008: 777-778 - [c24]Nicos G. Pavlidis, Dimitris K. Tasoulis, David J. Hand
Simulation Studies of Multi-armed Bandits with Covariates. UKSim 2008: 493-498 - [c23]Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks. UKSim 2008: 661-666 - [p2]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Computational Intelligence Algorithms and DNA Microarrays. Computational Intelligence in Bioinformatics 2008: 1-31 - 2007
- [j12]Todor Ganchev
Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. Neurocomputing 70(7-9): 1424-1438 (2007) - [j11]Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou
Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography. Math. Comput. Model. 46(1-2): 174-179 (2007) - [j10]Dimitris K. Tasoulis, Michael N. Vrahatis:
Generalizing the k-Windows clustering algorithm in metric spaces. Math. Comput. Model. 46(1-2): 268-277 (2007) - [c22]Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Should Delayed Measurements Always be Incorporated in Filtering? DSP 2007: 264-267 - [c21]Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Adams:
Visualising the Cluster Structure of Data Streams. IDA 2007: 81-92 - 2006
- [j9]Dimitris K. Tasoulis, Panagiota Spyridonos
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artif. Intell. Medicine 38(3): 291-303 (2006) - [j8]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Unsupervised clustering in mRNA expression profiles. Comput. Biol. Medicine 36(10): 1126-1142 (2006) - [j7]Bernard Mourrain, Nicos G. Pavlidis
Determining the number of real roots of polynomials through neural networks. Comput. Math. Appl. 51(3-4): 527-536 (2006) - [j6]Nicos G. Pavlidis
Computational Intelligence Methods for Financial Time Series Modeling. Int. J. Bifurc. Chaos 16(7): 2053-2062 (2006) - [j5]Dimitris K. Tasoulis, Michael N. Vrahatis:
Unsupervised Clustering Using Fractal Dimension. Int. J. Bifurc. Chaos 16(7): 2073-2079 (2006) - [j4]Nicos G. Pavlidis
Financial forecasting through unsupervised clustering and neural networks. Oper. Res. 6(2): 103-127 (2006) - [c20]Nicos G. Pavlidis
Human Designed Vs. Genetically Programmed Differential Evolution Operators. IEEE Congress on Evolutionary Computation 2006: 1880-1886 - [c19]Dimitris K. Tasoulis, Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis:
Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data. ICCSA (5) 2006: 635-643 - [c18]Dimitris K. Tasoulis, Niall M. Adams, David J. Hand:
Unsupervised Clustering In Streaming Data. ICDM Workshops 2006: 638-642 - [c17]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. AIAI 2006: 484-491 - [p1]Dimitris K. Tasoulis, Dimitrios Zeimpekis, Efstratios Gallopoulos, Michael N. Vrahatis:
Oriented k-windows: A PCA driven clustering method. Advances in Web Intelligence and Data Mining 2006: 319-328 - 2005
- [j3]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): 127-130 (2005) - [j2]Elena C. Laskari, Gerasimos C. Meletiou, Dimitris K. Tasoulis, Michael N. Vrahatis:
Privacy preserving electronic data gathering. Math. Comput. Model. 42(7-8): 739-746 (2005) - [j1]Dimitris K. Tasoulis, Michael N. Vrahatis:
Unsupervised clustering on dynamic databases. Pattern Recognit. Lett. 26(13): 2116-2127 (2005) - [c16]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: 1847-1854 - [c15]Dimitris K. Tasoulis, Michael N. Vrahatis:
The new window density function for efficient evolutionary unsupervised clustering. Congress on Evolutionary Computation 2005: 2388-2394 - [c14]Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis:
Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction. Computational Intelligence 2005: 456-461 - [c13]Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis:
Computational intelligence techniques for acute leukemia gene expression data classification. IJCNN 2005: 2469-2474 - 2004
- [c12]Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis
Vector evaluated differential evolution for multiobjective optimization. IEEE Congress on Evolutionary Computation 2004: 204-211 - [c11]Dimitris K. Tasoulis, Nicos G. Pavlidis
Parallel differential evolution. IEEE Congress on Evolutionary Computation 2004: 2023-2029 - [c10]Yiannis G. Petalas, Dimitris K. Tasoulis, Michael N. Vrahatis:
Dynamic Search Trajectory Methods for Neural Network Training. ICAISC 2004: 241-246 - [c9]Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis:
Online Neural Network Training for Automatic Ischemia Episode Detection. ICAISC 2004: 1062-1068 - [c8]Todor Ganchev
Generalized locally recurrent probabilistic neural networks for text-independent speaker verification. ICASSP (1) 2004: 41-44 - [c7]Dimitris K. Tasoulis, Michael N. Vrahatis:
Unsupervised distributed clustering. Parallel and Distributed Computing and Networks 2004: 347-351 - 2003
- [c6]Nicos G. Pavlidis
Financial forecasting through unsupervised clustering and evolutionary trained neural networks. IEEE Congress on Evolutionary Computation 2003: 2314-2321 - [c5]Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis:
Locally recurrent probabilistic neural network for text-independent speaker verification. INTERSPEECH 2003: 1673-1676 - [c4]Dimitris K. Tasoulis, Panagiota Spyridonos
Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. KES 2003: 199-206 - [c3]Dimitris K. Tasoulis, Panagiotis D. Alevizos, Basilis Boutsinas, Michael N. Vrahatis:
Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm. PaCT 2003: 336-344 - [c2]Panagiotis D. Alevizos, Dimitris K. Tasoulis, Michael N. Vrahatis:
Parallelizing the Unsupervised k-Windows Clustering Algorithm. PPAM 2003: 225-232 - 2002
- [c1]Panagiotis D. Alevizos, Basilis Boutsinas, Dimitris K. Tasoulis, Michael N. Vrahatis:
Improving the Orthogonal Range Search k -Windows Algorithm. ICTAI 2002: 239-245
Coauthor Index
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