Konstantinos Blekas

According to our database, Konstantinos Blekas authored at least 68 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 2024

Modelling flight trajectories with multi-modal generative adversarial imitation learning.

Christos Spatharis, Konstantinos Blekas, George A. Vouros

Appl. Intell., June, 2024

Design and Implementation of a Low-Cost Intelligent Unmanned Surface Vehicle.

Piyabhum Chaysri, Christos Spatharis, Kostas Vlachos, Konstantinos Blekas

Sensors, May, 2024

Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections.

Christos Spatharis, Konstantinos Blekas

J. Intell. Transp. Syst., January, 2024

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

Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024

2023

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

2022

Multi-label sampling based on local label imbalance.

Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas

Pattern Recognit., 2022

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

Multiple mini-robots navigation using a collaborative multiagent reinforcement learning framework.

Piyabhum Chaysri, Konstantinos Blekas, Kostas Vlachos

Adv. Robotics, 2020

Apprenticeship learning of flight trajectories prediction with inverse reinforcement learning.

Christos Spatharis, Konstantinos Blekas, George A. Vouros

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Double deep multiagent reinforcement learning for autonomous driving in traffic maps with road segments and unsignaled intersections.

Christos Spatharis, Konstantinos Blekas

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

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

Collaborative multiagent reinforcement learning schemes for air traffic management.

Christos Spatharis, Konstantinos Blekas, Alevizos Bastas, Theocharis Kravaris, George A. Vouros

Proceedings of the 10th International Conference on Information, 2019

Navigation of inertial forces driven mini-robots using reinforcement learning.

Piyabhum Chaysri, Konstantinos Blekas, Kostas Vlachos

Proceedings of the 10th International Conference on Information, 2019

2018

RL-based path planning for an over-actuated floating vehicle under disturbances.

Konstantinos Blekas, Kostas Vlachos

Robotics Auton. Syst., 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

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

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

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Functional Connectivity in Parkinson Disease Through Mixture Modelling.

Vangelis P. Oikonomou, Kostas Blekas, Loukas G. Astrakas

Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

2017

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

Proceedings of the Multiagent System Technologies - 15th German Conference, 2017

2016

A Bayesian Ensemble Regression Framework on the Angry Birds Game.

Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas

IEEE Trans. Comput. Intell. AI Games, 2016

Autonomous navigation of an over-actuated marine platform using reinforcement learning.

Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos, Konstantinos Blekas

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Reinforcement learning-based motion planning of a triangular floating platform under environmental disturbances.

Konstantinos Tziortziotis, Kostas Vlachos, Konstantinos Blekas

Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

2015

Editorial.

Aristidis Likas, Konstantinos Blekas, Dimitris Kalles

Int. J. Artif. Intell. Tools, 2015

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

Proceedings of the Visual Information Processing and Communication VI, 2015

2014

Sparse regression mixture modeling with the multi-kernel relevance vector machine.

Konstantinos Blekas, Aristidis Likas

Knowl. Inf. Syst., 2014

Cover tree Bayesian reinforcement learning.

Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas

J. Mach. Learn. Res., 2014

Play Ms. Pac-Man Using an Advanced Reinforcement Learning Agent.

Nikolaos Tziortziotis, Konstantinos Tziortziotis, Konstantinos Blekas

Proceedings of the Artificial Intelligence: Methods and Applications, 2014

2013

An Adaptive Regression Mixture Model for fMRI Cluster Analysis.

Vangelis P. Oikonomou, Konstantinos Blekas

IEEE Trans. Medical Imaging, 2013

A Spectral Clustering Approach Based on Newton's Equations of Motion.

Konstantinos Blekas, Isaac E. Lagaris

Int. J. Intell. Syst., 2013

Detecting Pornographic Images by Localizing Skin ROIs.

Sotiris Karavarsamis, Nikos Ntarmos, Konstantinos Blekas, Ioannis Pitas

Int. J. Digit. Crime Forensics, 2013

Linear Bayesian Reinforcement Learning.

Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas

Proceedings of the IJCAI 2013, 2013

Resource allocation in visual sensor networks using a reinforcement learning framework.

Katerina Pandremmenou, Nikolaos Tziortziotis, Lisimachos P. Kondi, Konstantinos Blekas

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Resting state fMRI analysis using a spatial regression mixture model.

Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

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

A novel framework for motion segmentation and tracking by clustering incomplete trajectories.

Vasileios Karavasilis, Konstantinos Blekas, Christophoros Nikou

Comput. Vis. Image Underst., 2012

An Online Kernel-Based Clustering Approach for Value Function Approximation.

Nikolaos Tziortziotis, Konstantinos Blekas

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

A Model Based Reinforcement Learning Approach Using On-Line Clustering.

Nikolaos Tziortziotis, Konstantinos Blekas

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

The Mixture of Multi-kernel Relevance Vector Machines Model.

Konstantinos Blekas, Aristidis Likas

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Motion Segmentation by Model-Based Clustering of Incomplete Trajectories.

Vasileios Karavasilis, Konstantinos Blekas, Christophoros Nikou

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages.

Sotiris Karavarsamis, Nikos Ntarmos, Konstantinos Blekas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Value Function Approximation through Sparse Bayesian Modeling.

Nikolaos Tziortziotis, Konstantinos Blekas

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

A Bayesian Reinforcement Learning framework Using Relevant Vector Machines.

Nikolaos Tziortziotis, Konstantinos Blekas

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

A Sparse Spatial Linear Regression Model for fMRI Data Analysis.

Vangelis P. Oikonomou, Konstantinos Blekas

Proceedings of the Artificial Intelligence: Theories, 2010

2009

Newtonian Spectral Clustering.

Konstantinos Blekas, K. Christodoulidou, Isaac E. Lagaris

Proceedings of the Artificial Neural Networks, 2009

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

A Sparse Regression Mixture Model for Clustering Time-Series.

Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas

Proceedings of the Artificial Intelligence: Theories, 2008

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

Newtonian clustering: An approach based on molecular dynamics and global optimization.

Konstantinos Blekas, Isaac E. Lagaris

Pattern Recognit., 2007

TRIAC II. A MatLab code for track measurements from SSNT detectors.

D. L. Patiris, Konstantinos Blekas, K. G. Ioannides

Comput. Phys. Commun., 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

Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, 2007

Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data.

Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Split-Merge Incremental LEarning (SMILE) of Mixture Models.

Konstantinos Blekas, Isaac E. Lagaris

Proceedings of the Artificial Neural Networks, 2007

2006

A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences.

Konstantinos Blekas

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Image segmentation with a class-adaptive spatially constrained mixture model.

Christophoros Nikou, Nikolaos Galatsanos, Aristidis Likas, Konstantinos Blekas

Proceedings of the 14th European Signal Processing Conference, 2006

2005

A spatially constrained mixture model for image segmentation.

Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris

IEEE Trans. Neural Networks, 2005

Mixture model analysis of DNA microarray images.

Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris

IEEE Trans. Medical Imaging, 2005

Motif-Based Protein Sequence Classification Using Neural Networks.

Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas

J. Comput. Biol., 2005

2004

Incremental Mixture Learning for Clustering Discrete Data.

Konstantinos Blekas, Aristidis Likas

Proceedings of the Methods and Applications of Artificial Intelligence, 2004

Mixture model based image segmentation with spatial constraints.

Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Greedy mixture learning for multiple motif discovery in biological sequences.

Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas

Bioinform., 2003

An unsupervised artifact correction approach for the analysis of DNA microarray images.

Konstantinos Blekas, Nikolas P. Galatsanos, Ion Georgiou

Proceedings of the 2003 International Conference on Image Processing, 2003

Protein Sequence Classification Using Probabilistic Motifs and Neural Networks.

Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

1998

Autonomous vehicle navigation using evolutionary reinforcement learning.

Andreas Stafylopatis, Konstantinos Blekas

Eur. J. Oper. Res., 1998

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

Proceedings of the 9th European Signal Processing Conference, 1998

1997

A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns.

Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis

Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

1996

A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network.

Aristidis Likas, Konstantinos Blekas

Neural Process. Lett., 1996

1995

Parallel Recombinative Reinforcement Learning (Extended Abstract).

Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis

Proceedings of the Machine Learning: ECML-95, 1995