An efficient fuzzy neural modeling approach using the fuzzy curve concept. - Stelios E. Papadakis; John B. Theocharis (ICECS, 1996)

Fuzzy short-term load forecasting models based on load curve-shaped prototype fuzzy clustering. - Stelios E. Papadakis; John B. Theocharis; Anastasios G. Bakirtzis (ECC, 1999)

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)

A GA-based fuzzy modeling approach for generating TSK models. - Stelios E. Papadakis; Ioannis B. Theocharis (Fuzzy Sets Syst., 2002)

Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers. - Al Cripps; Vassilis G. Kaburlasos; Nghiep Nguyen; Stelios E. Papadakis (MLMTA, 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)

A Genetic Based Approach to the Type I Structure Identification Problem. - Stelios E. Papadakis; Panagiotis Tzionas; Vassilis G. Kaburlasos; John B. Theocharis (Informatica, 2005)

Granular self-organizing map (grSOM) for structure identification. - Vassilis G. Kaburlasos; Stelios E. Papadakis (Neural Networks, 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)

Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval. - Theodoros Alevizos; Vassilis G. Kaburlasos; Stelios E. Papadakis; Christos Skourlas; Petros Belsis (ICEIS (2), 2007)

Real-Time Servo Control Architecture for Parallel Stabilization and Manipulation of Tele-Operated Robots. - Angelos Amanatiadis; Stelios E. Papadakis (ARCS, 2008)

A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR). - Vassilis G. Kaburlasos; Stelios E. Papadakis (Neurocomputing, 2009)

2-D Shape Representation and Recognition by Lattice Computing Techniques. - Vassilis G. Kaburlasos; Angelos Amanatiadis; Stelios E. Papadakis (HAIS (2), 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)

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)

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)

A hyper-box approach using relational databases for large scale machine learning. - Stelios E. Papadakis; Vangelis A. Stykas; George Mastorakis; Constandinos X. Mavromoustakis (TEMU, 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)

SecAwarenessTruss: A Federated Cyber Range Solution for Critical Infrastructures. - Michail Smyrlis; Evangelos Floros; Nikolaos Nikoloudakis; Eliana Stavrou; Dimitris Merkouris; Athanasios Arvanitis; Georgios Spanoudakis; Stelios E. Papadakis; Georgios Potamos; Stavros Stavrou (CSR, 2025)

Towards the Design of Cyber Range Training Programs for Enhanced Preparedness: Investigating the Training Needs in Critical Infrastructures. - Evangelos Floros; Eliana Stavrou; Michail Smyrlis; Nikolaos Nikoloudakis; Georgios Potamos; Athanasios Apostolidis; Panagiotis Bempis; Athanasios Grigoriadis; Konstantinos Magkos; Dimitris Merkouris; Georgios Spanoudakis; Stavros Stavrou; et al. (EDUCON, 2025)