Publications
I can also be found on Google Scholar, DBLP and ResearchGate.
2023
Charalambous, P., Pettre, J., Vassiliades, V., Chrysanthou, Y., and Pelechano, N. (2023). GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples. ACM Transactions on Graphics, 42(4): 1-15. [Link]
Minelli, G., and Vassiliades, V. (2023). Towards Continual Reinforcement Learning for Quadruped Robots. In Proceedings of the International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET), 61-64. [Link]
Christou, K., Christodoulou, C., and Vassiliades, V. (2023). Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 639-642. [Link]
Dionysiou, A., Vassiliades, V. and Athanasopoulos, E. (2023). Exploring Model Inversion Attacks in
the Black-box Setting. In Proceedings on Privacy Enhancing Technologies Symposium, 1, 190–206. [Link]
2022
Demosthenous, G., Kyriakou, M., and Vassiliades, V. (2022). Deep Reinforcement Learning for Improving Competitive Cycling Performance. Expert Systems with Applications, 117311. [Link]
2021
Ishikura, N., Kondo, D., Vassiliades, V., Iordanov, I., and Tode, H. (2021). DNS Tunneling Detection by Cache-Property-Aware Features. IEEE Transactions on Network and Service Management, 18(2): 1203-1217. [Link]
Dionysiou, A., Vassiliades, V. and Athanasopoulos, E. (2021). HoneyGen: Generating Honeywords Using Representation Learning. In ASIA CCS ’21: Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security, 265-279. [Link]
Chatzilygeroudis, K., Cully, A., Vassiliades, V., and Mouret, J.-B. (2021). Quality-Diversity Optimization: a novel branch of stochastic optimization. In Black Box Optimization, Machine Learning and No-Free Lunch Theorems, Edited by: Panos Pardalos, Michael Vrahatis, Varvara Rasskazova. 109-135. [Link]
Demosthenous, G. and Vassiliades, V. (2021). Continual Learning on the Edge with TensorFlow Lite. Findings of the CVPR 2021 Workshop on Continual Learning in Computer Vision. [Link]
2020
Kondo, D., Vassiliades, V., Silverston, T., Tode, H., and Asami, T. (2020). The named data networking flow filter: Towards improved security over information leakage attacks. Computer Networks, 173: 107187. [Link]
Ishikura, N., Kondo, D., Iordanov, I., Vassiliades, V. and Tode, H. (2020). Cache-Property-Aware Features for DNS Tunneling Detection. In 23rd Conference on Innovation in Clouds, Internet and Networks (ICIN 2020). [Link]
2019
Chatzilygeroudis, K., Vassiliades, V., Stulp, F., Calinon, S., and Mouret, J.-B. (2019). A survey on policy search algorithms for learning robot controllers in a handful of trials. IEEE Transactions on Robotics, 36(2): 328-347. [Link (open access)] [Preprint].
2018
Kondo, D., Silverston, T., Vassiliades, V., Tode, H., and Asami, T. (2018). Name Filter: A Countermeasure against Information Leakage Attacks in Named Data Networking. IEEE Access. [Link (open access)].
Chatzilygeroudis, K., Vassiliades, V. and Mouret, J.-B. (2018). Reset-free Trial-and-Error Learning for Robot Damage Recovery. Robotics and Autonomous Systems, 100: 236-250. [Link (open access)].
Vassiliades, V., Chatzilygeroudis, K. and Mouret, J.-B. (2018). Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm. IEEE Transactions on Evolutionary Computation, 22: 623-630. [Link (open access)].
Vassiliades, V. and Mouret, J.-B. (2018). Discovering the Elite Hypervolume by Leveraging Interspecies Correlation. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 149–156. ACM. [Link], [Preprint].
2017
Chatzilygeroudis, K., Rama, R., Kaushik, R., Goepp, D., Vassiliades, V. and Mouret, J.-B. (2017).
Black-Box Data-efficient Policy Search for Robotics. In Proceedings of the 2017 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS), pp. 51–58. IEEE. [Preprint].
Vassiliades, V., Chatzilygeroudis, K. and Mouret, J.-B. (2017). Comparing multimodal optimization
and illumination. In Proceedings of the Genetic and Evolutionary Computation Conference
Companion, pp. 97–98. ACM. [Preprint].
Vassiliades, V., Chatzilygeroudis, K. and Mouret, J.-B. (2017). A comparison of illumination
algorithms in unbounded spaces. In Proceedings of the Genetic and Evolutionary Computation
Conference Companion, pp. 1578-1581. ACM. [Preprint].
2016
Vassiliades, V. and Christodoulou, C. (2016). Behavioral Plasticity Through the Modulation of Switch Neurons. Neural Networks, 74: 35-51. [Preprint].
Papaspyros, V., Chatzilygeroudis, K., Vassiliades, V. and Mouret, J.-B. (2016). Safety-Aware Robot
Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors. In NIPS 2016
Workshop on Bayesian Optimization. [Link].
Agathocleous, M., Christodoulou, C., Promponas, V.J., Kountouris, P. and Vassiliades, V. (2016).
Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient
Algorithm. Artificial Neural Networks - ICANN 2016, Lecture Notes in Computer Science, ed. by
A.E.P. Villa, P. Masulli and A.J.P. Rivero, Springer, 9886: 123-131. [Preprint].
2015
Vassiliades, V. (2015). Studies in Reinforcement Learning and Adaptive Neural Networks. PhD Thesis. Department of Computer Science, University of Cyprus. [Pdf].
2013
Vassiliades, V. and Christodoulou, C. (2013). Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution. Neural Computation, 25(11): 3020-3043. [Preprint].
2012
Kountouris, P., Agathocleous, M., Promponas, V., Christodoulou, G., Hadjicostas, S., Vassiliades, V. and Christodoulou, C. (2012). A comparative study on filtering protein secondary structure prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(3): 731-739. [Preprint].
Lambrou, I., Vassiliades, V. and Christodoulou, C. (2012). An Extension of a Hierarchical
Reinforcement Learning Algorithm for Multiagent Settings. Recent Advances in Reinforcement
Learning, EWRL 2011, Lecture Notes in Artificial Intelligence, ed. by S. Sanner and M. Hutter,
Springer, 7188: 261-272. [Preprint].
Vassiliades, V., Christodoulou, C., Cleanthous, A. and Lambrou, I. (2012). Explorations in Reinforcement Learning. Research Work of Postgraduate Students, Faculty of Pure and Applied Sciences, University of Cyprus, Nicosia, Cyprus, November 2012, Abstract for Poster P-28.
2011
Vassiliades, V., Cleanthous, A. and Christodoulou, C. (2011). Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner’s Dilemma. IEEE Transactions on Neural Networks, 22(4): 639-653. [Preprint].
Agathocleous, M., Hadjicostas, S., Kountouris, P., Promponas, V., Vassiliades, V. and Christodoulou, C. (2011). Improving protein secondary structure prediction using evolutionary strategies and RBF networks. Proceedings of the 6th Conference of the Hellenic Society for Computational Biology & Bioinformatics HSCBB11, Patra, Greece, October 2011, p.34.
Agathocleous, M., Kountouris, P., Promponas, V., Christodoulou, G., Vassiliades, V. and Christodoulou, C. (2011). Training bidirectional recurrent neural networks with Conjugate gradient-type algorithms for protein secondary structure prediction. 19th International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology (ISMB/ECCB), Vienna, Austria, July 2011, Abstract for Poster W67.
Kountouris, P., Agathocleous, M., Promponas, V., Christodoulou, G., Hadjicostas, S., Vassiliades, V. and Christodoulou, C. (2011). A comparative study on filtering protein secondary structure prediction. 19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology (ISMB/ECCB), Vienna, Austria, July 2011, Abstract for Poster W39.
Kountouris, P., Agathocleous, M., Promponas, V., Christodoulou, G., Hadjicostas, S., Vassiliades, V. and Christodoulou, C. (2011). A comparative study on filtering protein secondary structure prediction. Proceedings of the 4th Cyprus Workshop on Signal Processing and Informatics, Nicosia, Cyprus, July 2011, p.13.
2010
Vassiliades, V. and Christodoulou, C. (2010). Multiagent Reinforcement Learning in the Iterated
Prisoner’s Dilemma: Fast Cooperation through Evolved Payoffs. Proceedings of the International Joint
Conference on Neural Networks (IJCNN’10), Barcelona, Spain, 2828-2835. [Preprint].
Vassiliades, V. and Christodoulou, C. (2010). Evolving internal rewards for effective multiagent learning in game theoretical situations. Proceedings of the 3rd Cyprus Workshop on Signal Processing and Informatics, Nicosia, Cyprus, July 2010, p. 22.
Agathocleous, M., Christodoulou, G., Promponas, V., Christodoulou, C., Vassiliades, V. and Antoniou, A. (2010). Per residue weight updating procedure for Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Networks. Proceedings of the 3rd Cyprus Workshop on Signal Processing and Informatics, Nicosia, Cyprus, July 2010, p. 23.
Agathocleous, M., Christodoulou, G., Promponas, V., Christodoulou, C., Vassiliades, V. and
Antoniou, A. (2010). Protein Secondary Structure Prediction with Bidirectional Recurrent Neural
Nets: can weight updating for each residue enhance performance? AIAI 2010, ed. by H. Papadopoulos,
A. S. Andreou and M. Bramer, IFIP International Federation for Information Processing AICT, 339:
128-137. [Link].
2009
Vassiliades, V., Cleanthous, A. and Christodoulou, C. (2009). Multiagent Reinforcement Learning
with Spiking and Non Spiking Agents in the Iterated Prisoner’s Dilemma. Artificial Neural Networks -
ICANN 2009, Lecture Notes in Computer Science, ed. by C. Alippi, M. Polycarpou, C. Panayiotou, G.
Ellinas, Springer, 5768: 737-746. [Preprint].
Vassiliades, V., Cleanthous, A. and Christodoulou, C. (2009). Multiagent Reinforcement Learning: Spiking and Non spiking Neural Network Agents. Proceedings of the 2nd Cyprus Workshop on Signal Processing and Informatics, Nicosia, Cyprus, July 2009, p. 16.