Stelios E. Papadakis

Publication Activity (10 Years)

Years Active: 1996-2014
Publications (10 Years): 0

Top Topics

Facial Expression Recognition

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

J. Math. Imaging Vis.

J. Multiple Valued Log. Soft Comput.

Publications

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) (2014)
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)
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) (2013)
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) (2012)
Vassilis G. Kaburlasos, Angelos Amanatiadis, Stelios E. Papadakis
2-D Shape Representation and Recognition by Lattice Computing Techniques. HAIS (2) (2010)
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) (2010)
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) (2009)
Angelos Amanatiadis, Stelios E. Papadakis
Real-Time Servo Control Architecture for Parallel Stabilization and Manipulation of Tele-Operated Robots. ARCS (2008)
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)
Vassilis G. Kaburlasos, Stelios E. Papadakis
Granular self-organizing map (grSOM) for structure identification. Neural Networks 19 (5) (2006)
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) (2006)
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) (2005)
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, Stelios E. Papadakis
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers. MLMTA (2003)
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) (2003)
Stelios E. Papadakis, Ioannis B. Theocharis
A GA-based fuzzy modeling approach for generating TSK models. Fuzzy Sets Syst. 131 (2) (2002)
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) (2001)
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)
Stelios E. Papadakis, John B. Theocharis
An efficient fuzzy neural modeling approach using the fuzzy curve concept. ICECS (1996)