Konstantinos Blekas

71 papers A* 3B 2C 3Journal 34Unranked 28

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