Parallel Recombinative Reinforcement Learning (Extended Abstract). - Aristidis Likas; Konstantinos Blekas; Andreas Stafylopatis (ECML, 1995)

A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network. - Aristidis Likas; Konstantinos Blekas (Neural Process. Lett., 1996)

A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. - Konstantinos Blekas; Aristidis Likas; Andreas Stafylopatis (ICTAI, 1997)

A vector quantization schema for non-stationary signal distributions based on ML estimation of mixture densities. - Nikos A. Vlassis; Konstantinos Blekas; George K. Papakonstantinou; Andreas Stafylopatis (EUSIPCO, 1998)

Autonomous vehicle navigation using evolutionary reinforcement learning. - Andreas Stafylopatis; Konstantinos Blekas (Eur. J. Oper. Res., 1998)

Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. - Konstantinos Blekas; Dimitrios I. Fotiadis; Aristidis Likas (ICANN, 2003)

An unsupervised artifact correction approach for the analysis of DNA microarray images. - Konstantinos Blekas; Nikolas P. Galatsanos; Ion Georgiou (ICIP (2), 2003)

Greedy mixture learning for multiple motif discovery in biological sequences. - Konstantinos Blekas; Dimitrios I. Fotiadis; Aristidis Likas (Bioinform., 2003)

Mixture model based image segmentation with spatial constraints. - Konstantinos Blekas; Aristidis Likas; Nikolas P. Galatsanos; Isaac E. Lagaris (EUSIPCO, 2004)

Incremental Mixture Learning for Clustering Discrete Data. - Konstantinos Blekas; Aristidis Likas (SETN, 2004)

Motif-Based Protein Sequence Classification Using Neural Networks. - Konstantinos Blekas; Dimitrios I. Fotiadis; Aristidis Likas (J. Comput. Biol., 2005)

Mixture model analysis of DNA microarray images. - Konstantinos Blekas; Nikolas P. Galatsanos; Aristidis Likas; Isaac E. Lagaris (IEEE Trans. Medical Imaging, 2005)

A spatially constrained mixture model for image segmentation. - Konstantinos Blekas; Aristidis Likas; Nikolas P. Galatsanos; Isaac E. Lagaris (IEEE Trans. Neural Networks, 2005)

Image segmentation with a class-adaptive spatially constrained mixture model. - Christophoros Nikou; Nikolaos Galatsanos; Aristidis Likas; Konstantinos Blekas (EUSIPCO, 2006)

A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences. - Konstantinos Blekas (SETN, 2006)

Split-Merge Incremental LEarning (SMILE) of Mixture Models. - Konstantinos Blekas; Isaac E. Lagaris (ICANN (2), 2007)

Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data. - Konstantinos Blekas; Christophoros Nikou; Nikolas P. Galatsanos; Nikolaos V. Tsekos (ICTAI (1), 2007)

New Detectors for Watermarks with Unknown Power Based on Student-t Image Priors. - Antonis Mairgiotis; Giannis K. Chantas; Nikolaos Galatsanos; Konstantinos Blekas; Yongyi Yang (MMSP, 2007)

TRIAC II. A MatLab code for track measurements from SSNT detectors. - D. L. Patiris; Konstantinos Blekas; K. G. Ioannides (Comput. Phys. Commun., 2007)

Newtonian clustering: An approach based on molecular dynamics and global optimization. - Konstantinos Blekas; Isaac E. Lagaris (Pattern Recognit., 2007)

Revisiting Java Bytecode Compression for Embedded and Mobile Computing Environments. - Dimitris Saougkos; George Manis; Konstantinos Blekas; Apostolos V. Zarras (IEEE Trans. Software Eng., 2007)

A Sparse Regression Mixture Model for Clustering Time-Series. - Konstantinos Blekas; Nikolas P. Galatsanos; Aristidis Likas (SETN, 2008)

A Regression Mixture Model with Spatial Constraints for Clustering Spatiotemporal Data. - Konstantinos Blekas; Christophoros Nikou; Nikolas P. Galatsanos; Nikolaos V. Tsekos (Int. J. Artif. Intell. Tools, 2008)

Newtonian Spectral Clustering. - Konstantinos Blekas; K. Christodoulidou; Isaac E. Lagaris (ICANN (2), 2009)

A Sparse Spatial Linear Regression Model for fMRI Data Analysis. - Vangelis P. Oikonomou; Konstantinos Blekas (SETN, 2010)

A Bayesian Reinforcement Learning framework Using Relevant Vector Machines. - Nikolaos Tziortziotis; Konstantinos Blekas (AAAI, 2011)

Value Function Approximation through Sparse Bayesian Modeling. - Nikolaos Tziortziotis; Konstantinos Blekas (EWRL, 2011)

InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages. - Sotiris Karavarsamis; Nikos Ntarmos; Konstantinos Blekas (ECML/PKDD (3), 2011)

Motion Segmentation by Model-Based Clustering of Incomplete Trajectories. - Vasileios Karavasilis; Konstantinos Blekas; Christophoros Nikou (ECML/PKDD (2), 2011)

The Mixture of Multi-kernel Relevance Vector Machines Model. - Konstantinos Blekas; Aristidis Likas (ICDM, 2012)

A Model Based Reinforcement Learning Approach Using On-Line Clustering. - Nikolaos Tziortziotis; Konstantinos Blekas (ICTAI, 2012)

An Online Kernel-Based Clustering Approach for Value Function Approximation. - Nikolaos Tziortziotis; Konstantinos Blekas (SETN, 2012)

A novel framework for motion segmentation and tracking by clustering incomplete trajectories. - Vasileios Karavasilis; Konstantinos Blekas; Christophoros Nikou (Comput. Vis. Image Underst., 2012)

A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis. - Vangelis P. Oikonomou; Konstantinos Blekas; Loukas G. Astrakas (IEEE Trans. Biomed. Eng., 2012)

Resting state fMRI analysis using a spatial regression mixture model. - Vangelis P. Oikonomou; Konstantinos Blekas; Loukas G. Astrakas (BIBE, 2013)

Resource allocation in visual sensor networks using a reinforcement learning framework. - Katerina Pandremmenou; Nikolaos Tziortziotis; Lisimachos P. Kondi; Konstantinos Blekas (DSP, 2013)

Linear Bayesian Reinforcement Learning. - Nikolaos Tziortziotis; Christos Dimitrakakis; Konstantinos Blekas (IJCAI, 2013)

Detecting Pornographic Images by Localizing Skin ROIs. - Sotiris Karavarsamis; Nikos Ntarmos; Konstantinos Blekas; Ioannis Pitas (Int. J. Digit. Crime Forensics, 2013)

A Spectral Clustering Approach Based on Newton's Equations of Motion. - Konstantinos Blekas; Isaac E. Lagaris (Int. J. Intell. Syst., 2013)

An Adaptive Regression Mixture Model for fMRI Cluster Analysis. - Vangelis P. Oikonomou; Konstantinos Blekas (IEEE Trans. Medical Imaging, 2013)

Play Ms. Pac-Man Using an Advanced Reinforcement Learning Agent. - Nikolaos Tziortziotis; Konstantinos Tziortziotis; Konstantinos Blekas (SETN, 2014)

Cover tree Bayesian reinforcement learning. - Nikolaos Tziortziotis; Christos Dimitrakakis; Konstantinos Blekas (J. Mach. Learn. Res., 2014)

Sparse regression mixture modeling with the multi-kernel relevance vector machine. - Konstantinos Blekas; Aristidis Likas (Knowl. Inf. Syst., 2014)

Quality optimization of H.264/AVC video transmission over noisy environments using a sparse regression framework. - Katerina Pandremmenou; Nikolaos Tziortziotis; Seethal Paluri; W. Zhang; Konstantinos Blekas; Lisimachos P. Kondi; Swarun Kumar (Visual Information Processing and Communication, 2015)

Editorial. - Aristidis Likas; Konstantinos Blekas; Dimitris Kalles (Int. J. Artif. Intell. Tools, 2015)

Reinforcement learning-based motion planning of a triangular floating platform under environmental disturbances. - Konstantinos Tziortziotis; Kostas Vlachos; Konstantinos Blekas (MED, 2016)

Autonomous navigation of an over-actuated marine platform using reinforcement learning. - Konstantinos Tziortziotis; Nikolaos Tziortziotis; Kostas Vlachos; Konstantinos Blekas (SETN, 2016)

A Bayesian Ensemble Regression Framework on the Angry Birds Game. - Nikolaos Tziortziotis; Georgios Papagiannis; Konstantinos Blekas (IEEE Trans. Comput. Intell. AI Games, 2016)

Learning Policies for Resolving Demand-Capacity Imbalances During Pre-tactical Air Traffic Management. - Theocharis Kravaris; George A. Vouros; Christos Spatharis; Konstantinos Blekas; Georgios Chalkiadakis; Jose Manuel Cordero Garcia (MATES, 2017)

Functional Connectivity in Parkinson Disease Through Mixture Modelling. - Vangelis P. Oikonomou; Kostas Blekas; Loukas G. Astrakas (IVMSP, 2018)

Multiagent Reinforcement Learning Methods to Resolve Demand Capacity Balance Problems. - Christos Spatharis; Theocharis Kravaris; George A. Vouros; Konstantinos Blekas; Georgios Chalkiadakis; Jose Manuel Cordero Garcia; Esther Calvo Fernández (SETN, 2018)

AI in Greece: The Case of Research on Linked Geospa al Data. - Manolis Koubarakis; George A. Vouros; Georgios Chalkiadakis; Vassilis P. Plagianakos; Christos Tjortjis; Ergina Kavallieratou; Dimitris Vrakas; Nikolaos Mavridis; Georgios Petasis; Konstantinos Blekas; Anastasia Krithara (AI Mag., 2018)

Motion Planning with Energy Reduction for a Floating Robotic Platform Under Disturbances and Measurement Noise Using Reinforcement Learning. - Konstantinos Tziortziotis; Nikolaos Tziortziotis; Kostas Vlachos; Konstantinos Blekas (Int. J. Artif. Intell. Tools, 2018)

RL-based path planning for an over-actuated floating vehicle under disturbances. - Konstantinos Blekas; Kostas Vlachos (Robotics Auton. Syst., 2018)

Navigation of inertial forces driven mini-robots using reinforcement learning. - Piyabhum Chaysri; Konstantinos Blekas; Kostas Vlachos (IISA, 2019)

Collaborative multiagent reinforcement learning schemes for air traffic management. - Christos Spatharis; Konstantinos Blekas; Alevizos Bastas; Theocharis Kravaris; George A. Vouros (IISA, 2019)

Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods. - Theocharis Kravaris; Christos Spatharis; Alevizos Bastas; George A. Vouros; Konstantinos Blekas; Gennady L. Andrienko; Natalia V. Andrienko; Jose Manuel Cordero Garcia (CoRR, 2019)

Double deep multiagent reinforcement learning for autonomous driving in traffic maps with road segments and unsignaled intersections. - Christos Spatharis; Konstantinos Blekas (ITSC, 2020)

Apprenticeship learning of flight trajectories prediction with inverse reinforcement learning. - Christos Spatharis; Konstantinos Blekas; George A. Vouros (SETN, 2020)

Multiple mini-robots navigation using a collaborative multiagent reinforcement learning framework. - Piyabhum Chaysri; Konstantinos Blekas; Kostas Vlachos (Adv. Robotics, 2020)

Identification of Brain Functional Networks Using a Model-Based Approach. - Vangelis P. Oikonomou; Konstantinos Blekas; Loukas G. Astrakas (Int. J. Pattern Recognit. Artif. Intell., 2020)

Multi-label sampling based on local label imbalance. - Bin Liu 058; Konstantinos Blekas; Grigorios Tsoumakas (Pattern Recognit., 2022)

Hierarchical multiagent reinforcement learning schemes for air traffic management. - Christos Spatharis; Alevizos Bastas; Theocharis Kravaris; Konstantinos Blekas; George A. Vouros; Jose Manuel Cordero Garcia (Neural Comput. Appl., 2023)

An Advanced Deep Reinforcement Learning Framework for Docking Unmanned Surface Vessels in Variable Environmental Conditions and Amid Moving Ships. - Theodore Tranos; Piyabhum Chaysri; Christos Spatharis; Konstantinos Blekas (SETN, 2024)

Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections. - Christos Spatharis; Konstantinos Blekas (J. Intell. Transp. Syst., 2024)

Design and Implementation of a Low-Cost Intelligent Unmanned Surface Vehicle. - Piyabhum Chaysri; Christos Spatharis; Kostas Vlachos; Konstantinos Blekas (Sensors, 2024)

Modelling flight trajectories with multi-modal generative adversarial imitation learning. - Christos Spatharis; Konstantinos Blekas; George A. Vouros (Appl. Intell., 2024)

Large-Scale Urban Traffic Management Using Zero-Shot Knowledge Transfer in Multi-Agent Reinforcement Learning for Intersection Patterns. - Theodore Tranos; Christos Spatharis; Konstantinos Blekas; Andreas-Giorgios Stafylopatis (Robotics, 2024)