Stelios E. Papadakis

According to our database, Stelios E. Papadakis authored at least 18 papers between 1996 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2014

Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition.

Stelios E. Papadakis, Vassilis G. Kaburlasos, George A. Papakostas

J. Multiple Valued Log. Soft Comput., 2014

A hyper-box approach using relational databases for large scale machine learning.

Stelios E. Papadakis, Vangelis A. Stykas, George Mastorakis, Constandinos X. Mavromoustakis

Proceedings of the International Conference on Telecommunications and Multimedia, 2014

2013

Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition.

Vassilis G. Kaburlasos, Stelios E. Papadakis, George A. Papakostas

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques.

Vassilis G. Kaburlasos, Stelios E. Papadakis, Angelos Amanatiadis

J. Math. Imaging Vis., 2012

2010

Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs).

Stelios E. Papadakis, Vassilis G. Kaburlasos

Inf. Sci., 2010

2-D Shape Representation and Recognition by Lattice Computing Techniques.

Vassilis G. Kaburlasos, Angelos Amanatiadis, Stelios E. Papadakis

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009

A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR).

Vassilis G. Kaburlasos, Stelios E. Papadakis

Neurocomputing, 2009

2008

Real-Time Servo Control Architecture for Parallel Stabilization and Manipulation of Tele-Operated Robots.

Angelos Amanatiadis, Stelios E. Papadakis

Proceedings of the International Conference on Automation, Robotics and Control Systems, 2008

2007

Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval.

Theodoros Alevizos, Vassilis G. Kaburlasos, Stelios E. Papadakis, Christos Skourlas, Petros Belsis

Proceedings of the ICEIS 2007, 2007

2006

A genetic method for designing TSK models based on objective weighting: application to classification problems.

Stelios E. Papadakis, John B. Theocharis

Soft Comput., 2006

Granular self-organizing map (grSOM) for structure identification.

Vassilis G. Kaburlasos, Stelios E. Papadakis

Neural Networks, 2006

2005

A Genetic Based Approach to the Type I Structure Identification Problem.

Stelios E. Papadakis, Panagiotis Tzionas, Vassilis G. Kaburlasos, John B. Theocharis

Informatica, 2005

2003

A load curve based fuzzy modeling technique for short-term load forecasting.

Stelios E. Papadakis, Ioannis B. Theocharis, Anastasios G. Bakirtzis

Fuzzy Sets Syst., 2003

Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers.

Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, Stelios E. Papadakis

Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications. MLMTA'03, June 23, 2003

2002

A GA-based fuzzy modeling approach for generating TSK models.

Stelios E. Papadakis, Ioannis B. Theocharis

Fuzzy Sets Syst., 2002

2001

Microgenetic algorithms as generalized hill-climbing operators for GA optimization.

Spiridon A. Kazarlis, Stelios E. Papadakis, Ioannis B. Theocharis, Vassilios Petridis

IEEE Trans. Evol. Comput., 2001

1999

Fuzzy short-term load forecasting models based on load curve-shaped prototype fuzzy clustering.

Stelios E. Papadakis, John B. Theocharis, Anastasios G. Bakirtzis

Proceedings of the 5th European Control Conference, 1999

1996

An efficient fuzzy neural modeling approach using the fuzzy curve concept.

Stelios E. Papadakis, John B. Theocharis

Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996