2009 |
9 | EE | Vassilis G. Kaburlasos,
Stelios E. Papadakis:
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR).
Neurocomputing 72(10-12): 2067-2078 (2009) |
2007 |
8 | | Theodoros Alevizos,
Vassilis G. Kaburlasos,
Stelios E. Papadakis,
Christos Skourlas,
Petros Belsis:
Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval.
ICEIS (2) 2007: 348-355 |
2006 |
7 | EE | Vassilis G. Kaburlasos,
Stelios E. Papadakis:
Granular self-organizing map (grSOM) for structure identification.
Neural Networks 19(5): 623-643 (2006) |
6 | EE | Stelios E. Papadakis,
J. B. Theocharis:
A genetic method for designing TSK models based on objective weighting: application to classification problems.
Soft Comput. 10(9): 805-824 (2006) |
2005 |
5 | EE | Stelios E. Papadakis,
Panagiotis Tzionas,
Vassilis G. Kaburlasos,
John B. Theocharis:
A Genetic Based Approach to the Type I Structure Identification Problem.
Informatica, Lith. Acad. Sci. 16(3): 365-382 (2005) |
2003 |
4 | | Al Cripps,
Vassilis G. Kaburlasos,
Nghiep Nguyen,
Stelios E. Papadakis:
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers.
MLMTA 2003: 161-166 |
3 | EE | Stelios E. Papadakis,
Ioannis B. Theocharis,
A. G. Bakirtzis:
A load curve based fuzzy modeling technique for short-term load forecasting.
Fuzzy Sets and Systems 135(2): 279-303 (2003) |
2002 |
2 | EE | Stelios E. Papadakis,
Ioannis B. Theocharis:
A GA-based fuzzy modeling approach for generating TSK models.
Fuzzy Sets and Systems 131(2): 121-152 (2002) |
2001 |
1 | | Spiridon A. Kazarlis,
Stelios E. Papadakis,
Ioannis B. Theocharis,
Vassilios Petridis:
Microgenetic algorithms as generalized hill-climbing operators for GA optimization.
IEEE Trans. Evolutionary Computation 5(3): 204-217 (2001) |