Stelios E. Papadakis

20 papers C 1Misc 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2025 Misc conf
SecAwarenessTruss: A Federated Cyber Range Solution for Critical Infrastructures.
CSR
Michail Smyrlis, Evangelos Floros, Nikolaos Nikoloudakis, Eliana Stavrou, Dimitris Merkouris, Athanasios Arvanitis, Georgios Spanoudakis, Stelios E. Papadakis, Georgios Potamos, Stavros Stavrou
2025 C conf
Towards the Design of Cyber Range Training Programs for Enhanced Preparedness: Investigating the Training Needs in Critical Infrastructures.
EDUCON
Evangelos Floros, Eliana Stavrou, Michail Smyrlis, Nikolaos Nikoloudakis, Georgios Potamos, Athanasios Apostolidis, Panagiotis Bempis, Athanasios Grigoriadis, Konstantinos Magkos, Dimitris Merkouris, Georgios Spanoudakis, Stavros Stavrou, Stelios Trikos, Stelios E. Papadakis
2014 — conf
A hyper-box approach using relational databases for large scale machine learning.
TEMU
Stelios E. Papadakis, Vangelis A. Stykas, George Mastorakis, Constandinos X. Mavromoustakis
2014 J jnl
Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition.
J. Multiple Valued Log. Soft Comput.
Stelios E. Papadakis, Vassilis G. Kaburlasos, George A. Papakostas
2013 J jnl
Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Vassilis G. Kaburlasos, Stelios E. Papadakis, George A. Papakostas
2012 J jnl
Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques.
J. Math. Imaging Vis.
Vassilis G. Kaburlasos, Stelios E. Papadakis, Angelos Amanatiadis
2010 — conf
2-D Shape Representation and Recognition by Lattice Computing Techniques.
HAIS (2)
Vassilis G. Kaburlasos, Angelos Amanatiadis, Stelios E. Papadakis
2010 J jnl
Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs).
Inf. Sci.
Stelios E. Papadakis, Vassilis G. Kaburlasos
2009 J jnl
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR).
Neurocomputing
Vassilis G. Kaburlasos, Stelios E. Papadakis
2008 — conf
Real-Time Servo Control Architecture for Parallel Stabilization and Manipulation of Tele-Operated Robots.
ARCS
Angelos Amanatiadis, Stelios E. Papadakis
2007 — conf
Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval.
ICEIS (2)
Theodoros Alevizos, Vassilis G. Kaburlasos, Stelios E. Papadakis, Christos Skourlas, Petros Belsis
2006 J jnl
A genetic method for designing TSK models based on objective weighting: application to classification problems.
Soft Comput.
Stelios E. Papadakis, John B. Theocharis
2006 J jnl
Granular self-organizing map (grSOM) for structure identification.
Neural Networks
Vassilis G. Kaburlasos, Stelios E. Papadakis
2005 J jnl
A Genetic Based Approach to the Type I Structure Identification Problem.
Informatica
Stelios E. Papadakis, Panagiotis Tzionas, Vassilis G. Kaburlasos, John B. Theocharis
2003 J jnl
A load curve based fuzzy modeling technique for short-term load forecasting.
Fuzzy Sets Syst.
Stelios E. Papadakis, Ioannis B. Theocharis, Anastasios G. Bakirtzis
2003 — conf
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers.
MLMTA
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, Stelios E. Papadakis
2002 J jnl
A GA-based fuzzy modeling approach for generating TSK models.
Fuzzy Sets Syst.
Stelios E. Papadakis, Ioannis B. Theocharis
2001 J jnl
Microgenetic algorithms as generalized hill-climbing operators for GA optimization.
IEEE Trans. Evol. Comput.
Spiridon A. Kazarlis, Stelios E. Papadakis, Ioannis B. Theocharis, Vassilios Petridis
1999 — conf
Fuzzy short-term load forecasting models based on load curve-shaped prototype fuzzy clustering.
ECC
Stelios E. Papadakis, John B. Theocharis, Anastasios G. Bakirtzis
1996 — conf
An efficient fuzzy neural modeling approach using the fuzzy curve concept.
ICECS
Stelios E. Papadakis, John B. Theocharis