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Konstantinos Blekas
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2020 – today
- 2024
- [j30]Christos Spatharis
, Konstantinos Blekas, George A. Vouros:
Modelling flight trajectories with multi-modal generative adversarial imitation learning. Appl. Intell. 54(11-12): 7118-7134 (2024) - [j29]Christos Spatharis, Konstantinos Blekas
Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections. J. Intell. Transp. Syst. 28(1): 103-119 (2024) - [j28]Theodore Tranos
Large-Scale Urban Traffic Management Using Zero-Shot Knowledge Transfer in Multi-Agent Reinforcement Learning for Intersection Patterns. Robotics 13(7): 109 (2024) - [j27]Piyabhum Chaysri
Design and Implementation of a Low-Cost Intelligent Unmanned Surface Vehicle. Sensors 24(10): 3254 (2024) - 2023
- [j26]Christos Spatharis, Alevizos Bastas, Theocharis Kravaris, Konstantinos Blekas, George A. Vouros
Hierarchical multiagent reinforcement learning schemes for air traffic management. Neural Comput. Appl. 35(1): 147-159 (2023) - 2022
- [j25]Bin Liu
Multi-label sampling based on local label imbalance. Pattern Recognit. 122: 108294 (2022) - 2020
- [j24]Piyabhum Chaysri, Konstantinos Blekas, Kostas Vlachos
Multiple mini-robots navigation using a collaborative multiagent reinforcement learning framework. Adv. Robotics 34(13): 902-916 (2020) - [j23]Vangelis P. Oikonomou
Identification of Brain Functional Networks Using a Model-Based Approach. Int. J. Pattern Recognit. Artif. Intell. 34(8): 2057004:1-2057004:27 (2020) - [c36]Christos Spatharis, Konstantinos Blekas:
Double deep multiagent reinforcement learning for autonomous driving in traffic maps with road segments and unsignaled intersections. ITSC 2020: 1-6 - [c35]Christos Spatharis, Konstantinos Blekas, George A. Vouros
Apprenticeship learning of flight trajectories prediction with inverse reinforcement learning. SETN 2020: 241-249 - [i4]Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas:
Multi-Label Sampling based on Local Label Imbalance. CoRR abs/2005.03240 (2020)
2010 – 2019
- 2019
- [c34]Piyabhum Chaysri, Konstantinos Blekas, Kostas Vlachos
Navigation of inertial forces driven mini-robots using reinforcement learning. IISA 2019: 1-8 - [c33]Christos Spatharis, Konstantinos Blekas, Alevizos Bastas, Theocharis Kravaris, George A. Vouros
Collaborative multiagent reinforcement learning schemes for air traffic management. IISA 2019: 1-8 - [i3]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 abs/1912.06860 (2019) - 2018
- [j22]Manolis Koubarakis, George A. Vouros
AI in Greece: The Case of Research on Linked Geospa al Data. AI Mag. 39(2): 91-96 (2018) - [j21]Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos
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): 1860005:1-1860005:20 (2018) - [j20]Konstantinos Blekas, Kostas Vlachos
RL-based path planning for an over-actuated floating vehicle under disturbances. Robotics Auton. Syst. 101: 93-102 (2018) - [c32]Vangelis P. Oikonomou, Kostas Blekas, Loukas G. Astrakas
Functional Connectivity in Parkinson Disease Through Mixture Modelling. IVMSP 2018: 1-5 - [c31]Christos Spatharis, Theocharis Kravaris, George A. Vouros
Multiagent Reinforcement Learning Methods to Resolve Demand Capacity Balance Problems. SETN 2018: 2:1-2:9 - 2017
- [c30]Theocharis Kravaris, George A. Vouros
Learning Policies for Resolving Demand-Capacity Imbalances During Pre-tactical Air Traffic Management. MATES 2017: 238-255 - 2016
- [j19]Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas:
A Bayesian Ensemble Regression Framework on the Angry Birds Game. IEEE Trans. Comput. Intell. AI Games 8(2): 104-115 (2016) - [c29]Konstantinos Tziortziotis, Kostas Vlachos
Reinforcement learning-based motion planning of a triangular floating platform under environmental disturbances. MED 2016: 1014-1019 - [c28]Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos
Autonomous navigation of an over-actuated marine platform using reinforcement learning. SETN 2016: 11:1-11:7 - 2015
- [j18]Aristidis Likas, Konstantinos Blekas, Dimitris Kalles
Editorial. Int. J. Artif. Intell. Tools 24(5): 1502004:1-1502004:2 (2015) - [c27]Katerina Pandremmenou, Nikolaos Tziortziotis, Seethal Paluri, W. Zhang, Konstantinos Blekas, Lisimachos P. Kondi, Swarun Kumar
Quality optimization of H.264/AVC video transmission over noisy environments using a sparse regression framework. Visual Information Processing and Communication 2015: 94100D - 2014
- [j17]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Cover tree Bayesian reinforcement learning. J. Mach. Learn. Res. 15(1): 2313-2335 (2014) - [j16]Konstantinos Blekas, Aristidis Likas:
Sparse regression mixture modeling with the multi-kernel relevance vector machine. Knowl. Inf. Syst. 39(2): 241-264 (2014) - [c26]Nikolaos Tziortziotis, Konstantinos Tziortziotis, Konstantinos Blekas:
Play Ms. Pac-Man Using an Advanced Reinforcement Learning Agent. SETN 2014: 71-83 - [e1]Aristidis Likas, Konstantinos Blekas, Dimitris Kalles
Artificial Intelligence: Methods and Applications - 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May 15-17, 2014. Proceedings. Lecture Notes in Computer Science 8445, Springer 2014, ISBN 978-3-319-07063-6 [contents] - [i2]Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas:
A Bayesian Ensemble Regression Framework on the Angry Birds Game. CoRR abs/1408.5265 (2014) - 2013
- [j15]Sotiris Karavarsamis, Nikos Ntarmos
Detecting Pornographic Images by Localizing Skin ROIs. Int. J. Digit. Crime Forensics 5(1): 39-53 (2013) - [j14]Konstantinos Blekas, Isaac E. Lagaris:
A Spectral Clustering Approach Based on Newton's Equations of Motion. Int. J. Intell. Syst. 28(4): 394-410 (2013) - [j13]Vangelis P. Oikonomou, Konstantinos Blekas:
An Adaptive Regression Mixture Model for fMRI Cluster Analysis. IEEE Trans. Medical Imaging 32(4): 649-659 (2013) - [c25]Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas
Resting state fMRI analysis using a spatial regression mixture model. BIBE 2013: 1-4 - [c24]Katerina Pandremmenou, Nikolaos Tziortziotis, Lisimachos P. Kondi, Konstantinos Blekas:
Resource allocation in visual sensor networks using a reinforcement learning framework. DSP 2013: 1-6 - [c23]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Linear Bayesian Reinforcement Learning. IJCAI 2013: 1721-1728 - [i1]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Cover Tree Bayesian Reinforcement Learning. CoRR abs/1305.1809 (2013) - 2012
- [j12]Vasileios Karavasilis, Konstantinos Blekas, Christophoros Nikou:
A novel framework for motion segmentation and tracking by clustering incomplete trajectories. Comput. Vis. Image Underst. 116(11): 1135-1148 (2012) - [j11]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): 58-67 (2012) - [c22]Konstantinos Blekas, Aristidis Likas:
The Mixture of Multi-kernel Relevance Vector Machines Model. ICDM 2012: 111-120 - [c21]Nikolaos Tziortziotis, Konstantinos Blekas:
A Model Based Reinforcement Learning Approach Using On-Line Clustering. ICTAI 2012: 712-718 - [c20]Nikolaos Tziortziotis, Konstantinos Blekas:
An Online Kernel-Based Clustering Approach for Value Function Approximation. SETN 2012: 182-189 - 2011
- [c19]Nikolaos Tziortziotis, Konstantinos Blekas:
A Bayesian Reinforcement Learning framework Using Relevant Vector Machines. AAAI 2011: 1820-1821 - [c18]Nikolaos Tziortziotis, Konstantinos Blekas:
Value Function Approximation through Sparse Bayesian Modeling. EWRL 2011: 128-139 - [c17]Vasileios Karavasilis, Konstantinos Blekas, Christophoros Nikou:
Motion Segmentation by Model-Based Clustering of Incomplete Trajectories. ECML/PKDD (2) 2011: 146-161 - [c16]Sotiris Karavarsamis, Nikos Ntarmos
InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages. ECML/PKDD (3) 2011: 638-641 - 2010
- [c15]Vangelis P. Oikonomou, Konstantinos Blekas:
A Sparse Spatial Linear Regression Model for fMRI Data Analysis. SETN 2010: 203-212
2000 – 2009
- 2009
- [c14]Konstantinos Blekas, K. Christodoulidou, Isaac E. Lagaris:
Newtonian Spectral Clustering. ICANN (2) 2009: 145-154 - 2008
- [j10]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): 1023-1041 (2008) - [c13]Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas:
A Sparse Regression Mixture Model for Clustering Time-Series. SETN 2008: 64-72 - 2007
- [j9]D. L. Patiris, Konstantinos Blekas, K. G. Ioannides:
TRIAC II. A MatLab code for track measurements from SSNT detectors. Comput. Phys. Commun. 177(3): 329-338 (2007) - [j8]Konstantinos Blekas, Isaac E. Lagaris:
Newtonian clustering: An approach based on molecular dynamics and global optimization. Pattern Recognit. 40(6): 1734-1744 (2007) - [j7]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): 478-495 (2007) - [c12]Konstantinos Blekas, Isaac E. Lagaris:
Split-Merge Incremental LEarning (SMILE) of Mixture Models. ICANN (2) 2007: 291-300 - [c11]Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos:
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data. ICTAI (1) 2007: 529-535 - [c10]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: 353-356 - 2006
- [c9]Christophoros Nikou, Nikolaos Galatsanos, Aristidis Likas, Konstantinos Blekas:
Image segmentation with a class-adaptive spatially constrained mixture model. EUSIPCO 2006: 1-5 - [c8]Konstantinos Blekas:
A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences. SETN 2006: 25-34 - 2005
- [j6]Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas:
Motif-Based Protein Sequence Classification Using Neural Networks. J. Comput. Biol. 12(1): 64-82 (2005) - [j5]Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris:
Mixture model analysis of DNA microarray images. IEEE Trans. Medical Imaging 24(7): 901-909 (2005) - [j4]Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris:
A spatially constrained mixture model for image segmentation. IEEE Trans. Neural Networks 16(2): 494-498 (2005) - 2004
- [c7]Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris:
Mixture model based image segmentation with spatial constraints. EUSIPCO 2004: 2119-2122 - [c6]Konstantinos Blekas, Aristidis Likas:
Incremental Mixture Learning for Clustering Discrete Data. SETN 2004: 210-219 - 2003
- [j3]Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas:
Greedy mixture learning for multiple motif discovery in biological sequences. Bioinform. 19(5): 607-617 (2003) - [c5]Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas:
Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. ICANN 2003: 702-709 - [c4]Konstantinos Blekas, Nikolas P. Galatsanos, Ion Georgiou:
An unsupervised artifact correction approach for the analysis of DNA microarray images. ICIP (2) 2003: 165-168
1990 – 1999
- 1998
- [j2]Andreas Stafylopatis, Konstantinos Blekas:
Autonomous vehicle navigation using evolutionary reinforcement learning. Eur. J. Oper. Res. 108(2): 306-318 (1998) - [c3]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: 1-4 - 1997
- [c2]Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis:
A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. ICTAI 1997: 323-330 - 1996
- [j1]Aristidis Likas, Konstantinos Blekas:
A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network. Neural Process. Lett. 4(3): 167-172 (1996) - 1995
- [c1]Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis:
Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML 1995: 311-314
Coauthor Index
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last updated on 2024-08-23 19:22 CEST by the dblp team
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