2009 |
25 | EE | Gordon J. Ross,
Dimitris K. Tasoulis,
Niall M. Adams:
Online annotation and prediction for regime switching data streams.
SAC 2009: 1501-1505 |
2008 |
24 | EE | Christoforos Anagnostopoulos,
Dimitris K. Tasoulis,
David J. Hand,
Niall M. Adams:
Online optimization for variable selection in data streams.
ECAI 2008: 132-136 |
23 | EE | Nicos G. Pavlidis,
Dimitris K. Tasoulis,
Niall M. Adams,
David J. Hand:
Dynamic Multi-Armed Bandit with Covariates.
ECAI 2008: 777-778 |
22 | EE | Dimitris K. Tasoulis,
Vassilis P. Plagianakos,
Michael N. Vrahatis:
Computational Intelligence Algorithms and DNA Microarrays.
Computational Intelligence in Bioinformatics 2008: 1-31 |
2007 |
21 | EE | Dimitris K. Tasoulis,
Gordon J. Ross,
Niall M. Adams:
Visualising the Cluster Structure of Data Streams.
IDA 2007: 81-92 |
20 | EE | 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): 1424-1438 (2007) |
2006 |
19 | EE | Dimitris K. Tasoulis,
Vassilis P. Plagianakos,
Michael N. Vrahatis:
Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data.
AIAI 2006: 484-491 |
18 | EE | Dimitris K. Tasoulis,
E. C. Laskari,
Gerasimos C. Meletiou,
Michael N. Vrahatis:
Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data.
ICCSA (5) 2006: 635-643 |
17 | EE | Dimitris K. Tasoulis,
Niall M. Adams,
David J. Hand:
Unsupervised Clustering In Streaming Data.
ICDM Workshops 2006: 638-642 |
16 | EE | 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 |
15 | EE | 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.
Artificial Intelligence in Medicine 38(3): 291-303 (2006) |
14 | EE | Nicos G. Pavlidis,
Dimitris K. Tasoulis,
Vassilis P. Plagianakos,
Michael N. Vrahatis:
Computational Intelligence Methods for Financial Time Series Modeling.
I. J. Bifurcation and Chaos 16(7): 2053-2062 (2006) |
13 | EE | Dimitris K. Tasoulis,
Michael N. Vrahatis:
Unsupervised Clustering Using Fractal Dimension.
I. J. Bifurcation and Chaos 16(7): 2073-2079 (2006) |
12 | EE | Nicos G. Pavlidis,
Vassilis P. Plagianakos,
Dimitris K. Tasoulis,
Michael N. Vrahatis:
Financial forecasting through unsupervised clustering and neural networks.
Operational Research 6(2): 103-127 (2006) |
2005 |
11 | | Nicos G. Pavlidis,
Dimitris K. Tasoulis,
Michael N. Vrahatis:
Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction.
Computational Intelligence 2005: 456-461 |
10 | EE | 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 |
9 | EE | Dimitris K. Tasoulis,
Michael N. Vrahatis:
The new window density function for efficient evolutionary unsupervised clustering.
Congress on Evolutionary Computation 2005: 2388-2394 |
8 | EE | Dimitris K. Tasoulis,
Michael N. Vrahatis:
Unsupervised clustering on dynamic databases.
Pattern Recognition Letters 26(13): 2116-2127 (2005) |
2004 |
7 | EE | 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 |
6 | EE | Y. G. Petalas,
Dimitris K. Tasoulis,
Michael N. Vrahatis:
Dynamic Search Trajectory Methods for Neural Network Training.
ICAISC 2004: 241-246 |
5 | | Dimitris K. Tasoulis,
Michael N. Vrahatis:
Unsupervised distributed clustering.
Parallel and Distributed Computing and Networks 2004: 347-351 |
2003 |
4 | EE | Dimitris K. Tasoulis,
Panagiota Spyridonos,
Nicos G. Pavlidis,
Dionisis Cavouras,
Panagiota Ravazoula,
George Nikiforidis,
Michael N. Vrahatis:
Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks.
KES 2003: 199-206 |
3 | EE | Panagiotis Alevizos,
Dimitris K. Tasoulis,
Michael N. Vrahatis:
Parallelizing the Unsupervised k-Windows Clustering Algorithm.
PPAM 2003: 225-232 |
2 | EE | Dimitris K. Tasoulis,
Panagiotis Alevizos,
Basilis Boutsinas,
Michael N. Vrahatis:
Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm.
PaCT 2003: 336-344 |
2002 |
1 | EE | Panagiotis Alevizos,
Basilis Boutsinas,
Dimitris K. Tasoulis,
Michael N. Vrahatis:
Improving the Orthogonal Range Search k -Windows Algorithm.
ICTAI 2002: 239-245 |