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ORCIDStelios E. Papadakis
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2010 – 2019
- 2014
[j11]Stelios E. Papadakis, Vassilis G. Kaburlasos, George A. Papakostas:
Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition. J. Multiple Valued Log. Soft Comput. 22(4-6): 561-579 (2014)- [c7]Stelios E. Papadakis, Vangelis A. Stykas, George Mastorakis, Constandinos X. Mavromoustakis:
A hyper-box approach using relational databases for large scale machine learning. TEMU 2014: 69-73 - 2013
- [j10]Vassilis G. Kaburlasos
, Stelios E. Papadakis, George A. Papakostas:
Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1526-1538 (2013) - 2012
- [j9]Vassilis G. Kaburlasos, Stelios E. Papadakis, Angelos Amanatiadis:
Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques. J. Math. Imaging Vis. 42(2-3): 118-133 (2012) - 2010
- [j8]Stelios E. Papadakis, Vassilis G. Kaburlasos:
Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs). Inf. Sci. 180(24): 5060-5076 (2010) - [c6]Vassilis G. Kaburlasos, Angelos Amanatiadis, Stelios E. Papadakis:
2-D Shape Representation and Recognition by Lattice Computing Techniques. HAIS (2) 2010: 391-398
2000 – 2009
- 2009
- [j7]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) - 2008
- [c5]Angelos Amanatiadis, Stelios E. Papadakis:
Real-Time Servo Control Architecture for Parallel Stabilization and Manipulation of Tele-Operated Robots. ARCS 2008: 225-229 - 2007
- [c4]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
- [j6]Vassilis G. Kaburlasos, Stelios E. Papadakis:
Granular self-organizing map (grSOM) for structure identification. Neural Networks 19(5): 623-643 (2006) - [j5]Stelios E. Papadakis, John 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
- [j4]Stelios E. Papadakis, Panagiotis Tzionas, Vassilis G. Kaburlasos, John B. Theocharis:
A Genetic Based Approach to the Type I Structure Identification Problem. Informatica 16(3): 365-382 (2005) - 2003
- [j3]Stelios E. Papadakis, Ioannis B. Theocharis, Anastasios G. Bakirtzis:
A load curve based fuzzy modeling technique for short-term load forecasting. Fuzzy Sets Syst. 135(2): 279-303 (2003) - [c3]Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, Stelios E. Papadakis:
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers. MLMTA 2003: 161-166 - 2002
- [j2]Stelios E. Papadakis, Ioannis B. Theocharis:
A GA-based fuzzy modeling approach for generating TSK models. Fuzzy Sets Syst. 131(2): 121-152 (2002) - 2001
- [j1]Spiridon A. Kazarlis, Stelios E. Papadakis, Ioannis B. Theocharis, Vassilios Petridis:
Microgenetic algorithms as generalized hill-climbing operators for GA optimization. IEEE Trans. Evol. Comput. 5(3): 204-217 (2001)
1990 – 1999
- 1999
- [c2]Stelios E. Papadakis, John B. Theocharis, Anastasios G. Bakirtzis:
Fuzzy short-term load forecasting models based on load curve-shaped prototype fuzzy clustering. ECC 1999: 2023-2028 - 1996
- [c1]Stelios E. Papadakis, John B. Theocharis:
An efficient fuzzy neural modeling approach using the fuzzy curve concept. ICECS 1996: 279-282
Coauthor Index
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