Vassilis Vassiliades

43 papers A 3B 1C 1Misc 2Journal 27Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neural-Symbolic Integration with Evolvable Policies. CoRR Marios Thoma, Vassilis Vassiliades, Loizos Michael
2025	—	`conf`	Optimizing Camera Placement for Chicken Farm Monitoring. EvoApplications (2) Kyriacos Mosphilis, Vassilis Vassiliades
2025	J	`jnl`	PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements. CoRR Marios Thoma, Zenonas Theodosiou, Harris Partaourides, Vassilis Vassiliades, Loizos Michael, Andreas Lanitis
2025	J	`jnl`	Poultry Farm Intelligence: An Integrated Multi-Sensor AI Platform for Enhanced Welfare and Productivity. CoRR Pieris Panagi, Savvas Karatsiolis, Kyriacos Mosphilis, Nicolas Hadjisavvas, Andreas Kamilaris, Nicolas Nicolaou, Efstathios Stavrakis, Vassilis Vassiliades
2024	—	`conf`	Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning. CoLLAs Cameron Ethan Taylor, Vassilis Vassiliades, Constantine Dovrolis
2024	J	`jnl`	Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning. CoRR Cameron E. Taylor, Vassilis Vassiliades, Constantine Dovrolis
2024	J	`jnl`	Towards Exploratory Quality Diversity Landscape Analysis. CoRR Kyriacos Mosphilis, Vassilis Vassiliades
2024	C	`conf`	Towards understanding animal welfare by observing collective flock behaviors via AI-powered Analytics. FedCSIS Savvas Karatsiolis, Pieris Panagi, Vassilis Vassiliades, Andreas Kamilaris, Nicolas Nicolaou, Efstathios Stavrakis
2023	J	`jnl`	Exploring Model Inversion Attacks in the Black-box Setting. Proc. Priv. Enhancing Technol. Antreas Dionysiou, Vassilis Vassiliades, Elias Athanasopoulos
2023	J	`jnl`	GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples. ACM Trans. Graph. Panayiotis Charalambous, Julien Pettré, Vassilis Vassiliades, Yiorgos Chrysanthou, Nuria Pelechano
2023	—	`conf`	Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. GECCO Companion Konstantinos Christou, Chris Christodoulou, Vassilis Vassiliades
2023	—	`conf`	Towards Continual Reinforcement Learning for Quadruped Robots. IMET Giovanni Minelli, Vassilis Vassiliades
2023	J	`jnl`	Towards Continual Reinforcement Learning for Quadruped Robots. CoRR Giovanni Minelli, Vassilis Vassiliades
2022	J	`jnl`	Deep reinforcement learning for improving competitive cycling performance. Expert Syst. Appl. Giorgos Demosthenous, Marios Kyriakou, Vassilis Vassiliades
2021	J	`jnl`	Continual Learning on the Edge with TensorFlow Lite. CoRR Giorgos Demosthenous, Vassilis Vassiliades
2021	J	`jnl`	DNS Tunneling Detection by Cache-Property-Aware Features. IEEE Trans. Netw. Serv. Manag. Naotake Ishikura, Daishi Kondo, Vassilis Vassiliades, Iordan Iordanov, Hideki Tode
2021	A	`conf`	HoneyGen: Generating Honeywords Using Representation Learning. AsiaCCS Antreas Dionysiou, Vassilis Vassiliades, Elias Athanasopoulos
2020	J	`jnl`	A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials. IEEE Trans. Robotics Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret
2020	Misc	`conf`	Cache-Property-Aware Features for DNS Tunneling Detection. ICIN Naotake Ishikura, Daishi Kondo, Iordan Iordanov, Vassilis Vassiliades, Hideki Tode
2020	J	`jnl`	Quality-Diversity Optimization: a novel branch of stochastic optimization. CoRR Konstantinos I. Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, Jean-Baptiste Mouret
2020	J	`jnl`	The named data networking flow filter: Towards improved security over information leakage attacks. Comput. Networks Daishi Kondo, Vassilis Vassiliades, Thomas Silverston, Hideki Tode, Tohru Asami
2018	J	`jnl`	A survey on policy search algorithms for learning robot controllers in a handful of trials. CoRR Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret
2018	J	`jnl`	Discovering the Elite Hypervolume by Leveraging Interspecies Correlation. CoRR Vassilis Vassiliades, Jean-Baptiste Mouret
2018	A	`conf`	Discovering the elite hypervolume by leveraging interspecies correlation. GECCO Vassilis Vassiliades, Jean-Baptiste Mouret
2018	J	`jnl`	Name Filter: A Countermeasure Against Information Leakage Attacks in Named Data Networking. IEEE Access Daishi Kondo, Thomas Silverston, Vassilis Vassiliades, Hideki Tode, Tohru Asami
2018	J	`jnl`	Reset-free Trial-and-Error Learning for Robot Damage Recovery. Robotics Auton. Syst. Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Jean-Baptiste Mouret
2018	J	`jnl`	Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm. IEEE Trans. Evol. Comput. Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret
2017	—	`conf`	A comparison of illumination algorithms in unbounded spaces. GECCO (Companion) Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret
2017	J	`jnl`	Black-Box Data-efficient Policy Search for Robotics. CoRR Konstantinos I. Chatzilygeroudis, Roberto Rama, Rituraj Kaushik, Dorian Goepp, Vassilis Vassiliades, Jean-Baptiste Mouret
2017	A	`conf`	Black-box data-efficient policy search for robotics. IROS Konstantinos I. Chatzilygeroudis, Roberto Rama, Rituraj Kaushik, Dorian Goepp, Vassilis Vassiliades, Jean-Baptiste Mouret
2017	—	`conf`	Comparing multimodal optimization and illumination. GECCO (Companion) Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret
2016	J	`jnl`	Behavioral plasticity through the modulation of switch neurons. Neural Networks Vassilis Vassiliades, Chris Christodoulou
2016	J	`jnl`	Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery. CoRR Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Jean-Baptiste Mouret
2016	J	`jnl`	Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors. CoRR Vaios Papaspyros, Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Jean-Baptiste Mouret
2016	J	`jnl`	Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations. CoRR Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret
2016	—	`conf`	Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm. ICANN (1) Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas, Petros Kountouris, Vassilis Vassiliades
2013	J	`jnl`	Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution. Neural Comput. Vassilis Vassiliades, Chris Christodoulou
2012	J	`jnl`	A Comparative Study on Filtering Protein Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Petros Kountouris, Michalis Agathocleous, Vasilis J. Promponas, Georgia Christodoulou, Simos Hadjicostas, Vassilis Vassiliades, Chris Christodoulou
2011	—	`conf`	An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings. EWRL Ioannis Lambrou, Vassilis Vassiliades, Chris Christodoulou
2011	J	`jnl`	Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. IEEE Trans. Neural Networks Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou
2010	B	`conf`	Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs. IJCNN Vassilis Vassiliades, Chris Christodoulou
2010	Misc	`conf`	Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance? AIAI Michalis Agathocleous, Georgia Christodoulou, Vasilis J. Promponas, Chris Christodoulou, Vassilis Vassiliades, Antonis Antoniou
2009	—	`conf`	Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma. ICANN (1) Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou