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2020 – today
- 2024
- [c14]Savvas Karatsiolis, Pieris Panagi, Vassilis Vassiliades, Andreas Kamilaris, Nicolas Nicolaou, Efstathios Stavrakis:
Towards understanding animal welfare by observing collective flock behaviors via AI-powered Analytics. FedCSIS 2024: 643-648 - [i11]Kyriacos Mosphilis, Vassilis Vassiliades:
Towards Exploratory Quality Diversity Landscape Analysis. CoRR abs/2405.13433 (2024) - [i10]Cameron E. Taylor, Vassilis Vassiliades, Constantine Dovrolis:
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning. CoRR abs/2409.16391 (2024) - 2023
- [j13]Antreas Dionysiou, Vassilis Vassiliades, Elias Athanasopoulos:
Exploring Model Inversion Attacks in the Black-box Setting. Proc. Priv. Enhancing Technol. 2023(1): 190-206 (2023) - [j12]Panayiotis Charalambous, Julien Pettré, Vassilis Vassiliades, Yiorgos Chrysanthou, Nuria Pelechano:
GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples. ACM Trans. Graph. 42(4): 137:1-137:15 (2023) - [c13]Konstantinos Christou, Chris Christodoulou, Vassilis Vassiliades:
Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. GECCO Companion 2023: 639-642 - [c12]Giovanni Minelli, Vassilis Vassiliades:
Towards Continual Reinforcement Learning for Quadruped Robots. IMET 2023: 61-64 - [i9]Giovanni Minelli, Vassilis Vassiliades:
Towards Continual Reinforcement Learning for Quadruped Robots. CoRR abs/2311.06828 (2023) - 2022
- [j11]Giorgos Demosthenous, Marios Kyriakou, Vassilis Vassiliades:
Deep reinforcement learning for improving competitive cycling performance. Expert Syst. Appl. 203: 117311 (2022) - 2021
- [j10]Naotake Ishikura, Daishi Kondo, Vassilis Vassiliades, Iordan Iordanov, Hideki Tode:
DNS Tunneling Detection by Cache-Property-Aware Features. IEEE Trans. Netw. Serv. Manag. 18(2): 1203-1217 (2021) - [c11]Antreas Dionysiou, Vassilis Vassiliades, Elias Athanasopoulos:
HoneyGen: Generating Honeywords Using Representation Learning. AsiaCCS 2021: 265-279 - [i8]Giorgos Demosthenous, Vassilis Vassiliades:
Continual Learning on the Edge with TensorFlow Lite. CoRR abs/2105.01946 (2021) - 2020
- [j9]Daishi Kondo, Vassilis Vassiliades, Thomas Silverston, Hideki Tode, Tohru Asami:
The named data networking flow filter: Towards improved security over information leakage attacks. Comput. Networks 173: 107187 (2020) - [j8]Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret:
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials. IEEE Trans. Robotics 36(2): 328-347 (2020) - [c10]Naotake Ishikura, Daishi Kondo, Iordan Iordanov, Vassilis Vassiliades, Hideki Tode:
Cache-Property-Aware Features for DNS Tunneling Detection. ICIN 2020: 216-220 - [i7]Konstantinos I. Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, Jean-Baptiste Mouret:
Quality-Diversity Optimization: a novel branch of stochastic optimization. CoRR abs/2012.04322 (2020)
2010 – 2019
- 2018
- [j7]Daishi Kondo, Thomas Silverston, Vassilis Vassiliades, Hideki Tode, Tohru Asami:
Name Filter: A Countermeasure Against Information Leakage Attacks in Named Data Networking. IEEE Access 6: 65151-65170 (2018) - [j6]Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Jean-Baptiste Mouret:
Reset-free Trial-and-Error Learning for Robot Damage Recovery. Robotics Auton. Syst. 100: 236-250 (2018) - [j5]Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm. IEEE Trans. Evol. Comput. 22(4): 623-630 (2018) - [c9]Vassilis Vassiliades, Jean-Baptiste Mouret:
Discovering the elite hypervolume by leveraging interspecies correlation. GECCO 2018: 149-156 - [i6]Vassilis Vassiliades, Jean-Baptiste Mouret:
Discovering the Elite Hypervolume by Leveraging Interspecies Correlation. CoRR abs/1804.03906 (2018) - [i5]Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret:
A survey on policy search algorithms for learning robot controllers in a handful of trials. CoRR abs/1807.02303 (2018) - 2017
- [c8]Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
Comparing multimodal optimization and illumination. GECCO (Companion) 2017: 97-98 - [c7]Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
A comparison of illumination algorithms in unbounded spaces. GECCO (Companion) 2017: 1578-1581 - [c6]Konstantinos I. Chatzilygeroudis, Roberto Rama, Rituraj Kaushik, Dorian Goepp, Vassilis Vassiliades, Jean-Baptiste Mouret:
Black-box data-efficient policy search for robotics. IROS 2017: 51-58 - [i4]Konstantinos I. Chatzilygeroudis, Roberto Rama, Rituraj Kaushik, Dorian Goepp, Vassilis Vassiliades, Jean-Baptiste Mouret:
Black-Box Data-efficient Policy Search for Robotics. CoRR abs/1703.07261 (2017) - 2016
- [j4]Vassilis Vassiliades, Chris Christodoulou:
Behavioral plasticity through the modulation of switch neurons. Neural Networks 74: 35-51 (2016) - [c5]Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas, Petros Kountouris, Vassilis Vassiliades:
Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm. ICANN (1) 2016: 123-131 - [i3]Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Jean-Baptiste Mouret:
Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery. CoRR abs/1610.04213 (2016) - [i2]Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations. CoRR abs/1610.05729 (2016) - [i1]Vaios Papaspyros, Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Jean-Baptiste Mouret:
Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors. CoRR abs/1611.09419 (2016) - 2013
- [j3]Vassilis Vassiliades, Chris Christodoulou:
Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution. Neural Comput. 25(11): 3020-3043 (2013) - 2012
- [j2]Petros Kountouris, Michalis Agathocleous, Vasilis J. Promponas, Georgia Christodoulou, Simos Hadjicostas, Vassilis Vassiliades, Chris Christodoulou:
A Comparative Study on Filtering Protein Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 9(3): 731-739 (2012) - 2011
- [j1]Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou:
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. IEEE Trans. Neural Networks 22(4): 639-653 (2011) - [c4]Ioannis Lambrou, Vassilis Vassiliades, Chris Christodoulou:
An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings. EWRL 2011: 261-272 - 2010
- [c3]Michalis Agathocleous, Georgia Christodoulou, Vasilis J. Promponas, Chris Christodoulou, Vassilis Vassiliades, Antonis Antoniou:
Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance? AIAI 2010: 128-137 - [c2]Vassilis Vassiliades, Chris Christodoulou:
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c1]Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou:
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma. ICANN (1) 2009: 737-746
Coauthor Index
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