Konstantinos Blekas

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 22

Top Topics

Traffic Management

Reinforcement Learning

Autonomous Driving

Motion Planning

Top Venues

Int. J. Artif. Intell. Tools

Publications

Theodore Tranos, Christos Spatharis, Konstantinos Blekas, Andreas-Giorgios Stafylopatis
Large-Scale Urban Traffic Management Using Zero-Shot Knowledge Transfer in Multi-Agent Reinforcement Learning for Intersection Patterns. Robotics 13 (7) (2024)
Piyabhum Chaysri, Christos Spatharis, Kostas Vlachos, Konstantinos Blekas
Design and Implementation of a Low-Cost Intelligent Unmanned Surface Vehicle. Sensors 24 (10) (2024)
Christos Spatharis, Konstantinos Blekas
Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections. J. Intell. Transp. Syst. 28 (1) (2024)
Christos Spatharis, Konstantinos Blekas, George A. Vouros
Modelling flight trajectories with multi-modal generative adversarial imitation learning. Appl. Intell. 54 (11-12) (2024)
Christos Spatharis, Alevizos Bastas, Theocharis Kravaris, Konstantinos Blekas, George A. Vouros, Jose Manuel Cordero Garcia
Hierarchical multiagent reinforcement learning schemes for air traffic management. Neural Comput. Appl. 35 (1) (2023)
Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
Multi-label sampling based on local label imbalance. Pattern Recognit. 122 (2022)
Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
Multi-Label Sampling based on Local Label Imbalance. CoRR (2020)
Christos Spatharis, Konstantinos Blekas, George A. Vouros
Apprenticeship learning of flight trajectories prediction with inverse reinforcement learning. SETN (2020)
Christos Spatharis, Konstantinos Blekas
Double deep multiagent reinforcement learning for autonomous driving in traffic maps with road segments and unsignaled intersections. ITSC (2020)
Piyabhum Chaysri, Konstantinos Blekas, Kostas Vlachos
Multiple mini-robots navigation using a collaborative multiagent reinforcement learning framework. Adv. Robotics 34 (13) (2020)
Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas
Identification of Brain Functional Networks Using a Model-Based Approach. Int. J. Pattern Recognit. Artif. Intell. 34 (8) (2020)
Christos Spatharis, Konstantinos Blekas, Alevizos Bastas, Theocharis Kravaris, George A. Vouros
Collaborative multiagent reinforcement learning schemes for air traffic management. IISA (2019)
Theocharis Kravaris, Christos Spatharis, Alevizos Bastas, George A. Vouros, Konstantinos Blekas, Gennady L. Andrienko, Natalia V. Andrienko, Jose Manuel Cordero Garcia
Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods. CoRR (2019)
Piyabhum Chaysri, Konstantinos Blekas, Kostas Vlachos
Navigation of inertial forces driven mini-robots using reinforcement learning. IISA (2019)
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 in Greece: The Case of Research on Linked Geospa al Data. AI Mag. 39 (2) (2018)
Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos, Konstantinos Blekas
Motion Planning with Energy Reduction for a Floating Robotic Platform Under Disturbances and Measurement Noise Using Reinforcement Learning. Int. J. Artif. Intell. Tools 27 (4) (2018)
Christos Spatharis, Theocharis Kravaris, George A. Vouros, Konstantinos Blekas, Georgios Chalkiadakis, Jose Manuel Cordero Garcia, Esther Calvo Fernández
Multiagent Reinforcement Learning Methods to Resolve Demand Capacity Balance Problems. SETN (2018)
Konstantinos Blekas, Kostas Vlachos
RL-based path planning for an over-actuated floating vehicle under disturbances. Robotics Auton. Syst. 101 (2018)
Theocharis Kravaris, George A. Vouros, Christos Spatharis, Konstantinos Blekas, Georgios Chalkiadakis, Jose Manuel Cordero Garcia
Learning Policies for Resolving Demand-Capacity Imbalances During Pre-tactical Air Traffic Management. MATES (2017)
Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas
A Bayesian Ensemble Regression Framework on the Angry Birds Game. IEEE Trans. Comput. Intell. AI Games 8 (2) (2016)
Konstantinos Tziortziotis, Kostas Vlachos, Konstantinos Blekas
Reinforcement learning-based motion planning of a triangular floating platform under environmental disturbances. MED (2016)
Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos, Konstantinos Blekas
Autonomous navigation of an over-actuated marine platform using reinforcement learning. SETN (2016)
Aristidis Likas, Konstantinos Blekas, Dimitris Kalles
Editorial. Int. J. Artif. Intell. Tools 24 (5) (2015)
Katerina Pandremmenou, Nikolaos Tziortziotis, Seethal Paluri, W. Zhang, Konstantinos Blekas, Lisimachos P. Kondi, S. Kumar
Quality optimization of H.264/AVC video transmission over noisy environments using a sparse regression framework. Visual Information Processing and Communication (2015)
Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas
A Bayesian Ensemble Regression Framework on the Angry Birds Game. CoRR (2014)
Konstantinos Blekas, Aristidis Likas
Sparse regression mixture modeling with the multi-kernel relevance vector machine. Knowl. Inf. Syst. 39 (2) (2014)
Nikolaos Tziortziotis, Konstantinos Tziortziotis, Konstantinos Blekas
Play Ms. Pac-Man Using an Advanced Reinforcement Learning Agent. SETN (2014)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Cover tree Bayesian reinforcement learning. J. Mach. Learn. Res. 15 (1) (2014)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Linear Bayesian Reinforcement Learning. IJCAI (2013)
Katerina Pandremmenou, Nikolaos Tziortziotis, Lisimachos P. Kondi, Konstantinos Blekas
Resource allocation in visual sensor networks using a reinforcement learning framework. DSP (2013)
Konstantinos Blekas, Isaac E. Lagaris
A Spectral Clustering Approach Based on Newton's Equations of Motion. Int. J. Intell. Syst. 28 (4) (2013)
Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas
Resting state fMRI analysis using a spatial regression mixture model. BIBE (2013)
Sotiris Karavarsamis, Nikos Ntarmos, Konstantinos Blekas, Ioannis Pitas
Detecting Pornographic Images by Localizing Skin ROIs. Int. J. Digit. Crime Forensics 5 (1) (2013)
Vangelis P. Oikonomou, Konstantinos Blekas
An Adaptive Regression Mixture Model for fMRI Cluster Analysis. IEEE Trans. Medical Imaging 32 (4) (2013)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Cover Tree Bayesian Reinforcement Learning CoRR (2013)
Vasileios Karavasilis, Konstantinos Blekas, Christophoros Nikou
A novel framework for motion segmentation and tracking by clustering incomplete trajectories. Comput. Vis. Image Underst. 116 (11) (2012)
Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas
A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis. IEEE Trans. Biomed. Eng. 59 (1) (2012)
Nikolaos Tziortziotis, Konstantinos Blekas
A Model Based Reinforcement Learning Approach Using On-Line Clustering. ICTAI (2012)
Konstantinos Blekas, Aristidis Likas
The Mixture of Multi-kernel Relevance Vector Machines Model. ICDM (2012)
Nikolaos Tziortziotis, Konstantinos Blekas
An Online Kernel-Based Clustering Approach for Value Function Approximation. SETN (2012)
Vasileios Karavasilis, Konstantinos Blekas, Christophoros Nikou
Motion Segmentation by Model-Based Clustering of Incomplete Trajectories. ECML/PKDD (2) (2011)
Sotiris Karavarsamis, Nikos Ntarmos, Konstantinos Blekas
InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages. ECML/PKDD (3) (2011)
Nikolaos Tziortziotis, Konstantinos Blekas
A Bayesian Reinforcement Learning framework Using Relevant Vector Machines. AAAI (2011)
Nikolaos Tziortziotis, Konstantinos Blekas
Value Function Approximation through Sparse Bayesian Modeling. EWRL (2011)
Vangelis P. Oikonomou, Konstantinos Blekas
A Sparse Spatial Linear Regression Model for fMRI Data Analysis. SETN (2010)
Konstantinos Blekas, K. Christodoulidou, Isaac E. Lagaris
Newtonian Spectral Clustering. ICANN (2) (2009)
Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos
A Regression Mixture Model with Spatial Constraints for Clustering Spatiotemporal Data. Int. J. Artif. Intell. Tools 17 (5) (2008)
Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas
A Sparse Regression Mixture Model for Clustering Time-Series. SETN (2008)
Konstantinos Blekas, Isaac E. Lagaris
Newtonian clustering: An approach based on molecular dynamics and global optimization. Pattern Recognit. 40 (6) (2007)
D. L. Patiris, Konstantinos Blekas, K. G. Ioannides
TRIAC II. A MatLab code for track measurements from SSNT detectors. Comput. Phys. Commun. 177 (3) (2007)
Dimitris Saougkos, George Manis, Konstantinos Blekas, Apostolos V. Zarras
Revisiting Java Bytecode Compression for Embedded and Mobile Computing Environments. IEEE Trans. Software Eng. 33 (7) (2007)
Antonis Mairgiotis, Giannis K. Chantas, Nikolaos Galatsanos, Konstantinos Blekas, Yongyi Yang
New Detectors for Watermarks with Unknown Power Based on Student-t Image Priors. MMSP (2007)
Konstantinos Blekas, Isaac E. Lagaris
Split-Merge Incremental LEarning (SMILE) of Mixture Models. ICANN (2) (2007)
Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data. ICTAI (1) (2007)
Konstantinos Blekas
A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences. SETN (2006)
Christophoros Nikou, Nikolaos Galatsanos, Aristidis Likas, Konstantinos Blekas
Image segmentation with a class-adaptive spatially constrained mixture model. EUSIPCO (2006)
Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
Motif-Based Protein Sequence Classification Using Neural Networks. J. Comput. Biol. 12 (1) (2005)
Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris
Mixture model analysis of DNA microarray images. IEEE Trans. Medical Imaging 24 (7) (2005)
Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris
A spatially constrained mixture model for image segmentation. IEEE Trans. Neural Networks 16 (2) (2005)
Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris
Mixture model based image segmentation with spatial constraints. EUSIPCO (2004)
Konstantinos Blekas, Aristidis Likas
Incremental Mixture Learning for Clustering Discrete Data. SETN (2004)
Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. ICANN (2003)
Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
Greedy mixture learning for multiple motif discovery in biological sequences. Bioinform. 19 (5) (2003)
Konstantinos Blekas, Nikolas P. Galatsanos, Ion Georgiou
An unsupervised artifact correction approach for the analysis of DNA microarray images. ICIP (2) (2003)
Andreas Stafylopatis, Konstantinos Blekas
Autonomous vehicle navigation using evolutionary reinforcement learning. Eur. J. Oper. Res. 108 (2) (1998)
Nikos A. Vlassis, Konstantinos Blekas, George K. Papakonstantinou, Andreas Stafylopatis
A vector quantization schema for non-stationary signal distributions based on ML estimation of mixture densities. EUSIPCO (1998)
Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis
A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. ICTAI (1997)
Aristidis Likas, Konstantinos Blekas
A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network. Neural Process. Lett. 4 (3) (1996)
Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis
Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML (1995)