Real-time bidding by reinforcement learning in display advertising H Cai, K Ren, W Zhang, K Malialis, J Wang, Y Yu, D Guo 10th ACM International Conference on Web Search and Data Mining (WSDM), 661-670, 2017 | 293 | 2017 |
Distributed response to network intrusions using multiagent reinforcement learning K Malialis, D Kudenko Engineering Applications of Artificial Intelligence 41, 270-284, 2015 | 71 | 2015 |
Resource abstraction for reinforcement learning in multiagent congestion problems K Malialis, S Devlin, D Kudenko International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016 | 39 | 2016 |
Distributed reinforcement learning for adaptive and robust network intrusion response K Malialis, S Devlin, D Kudenko Connection Science 27 (3), 234-252, 2015 | 33 | 2015 |
Online Learning With Adaptive Rebalancing in Nonstationary Environments K Malialis, CG Panayiotou, MM Polycarpou IEEE Transactions on Neural Networks and Learning Systems, 2021 | 26 | 2021 |
Nonstationary data stream classification with online active learning and siamese neural networks✩ K Malialis, CG Panayiotou, MM Polycarpou Neurocomputing 512, 235-252, 2022 | 20 | 2022 |
Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks K Malialis, D Kudenko AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI), 2013 | 19 | 2013 |
Distributed reinforcement learning for network intrusion response K Malialis University of York, 2014 | 17 | 2014 |
Queue-Based Resampling for Online Class Imbalance Learning K Malialis, C Panayiotou, MM Polycarpou 27th International Conference on Artificial Neural Networks (ICANN), 498-507, 2018 | 14 | 2018 |
Data-efficient online classification with siamese networks and active learning K Malialis, CG Panayiotou, MM Polycarpou International Joint Conference on Neural Networks (IJCNN), 2020 | 12 | 2020 |
Large-scale DDoS response using cooperative reinforcement learning K Malialis, D Kudenko 11th European workshop on multi-agent systems (EUMAS), 2013 | 12 | 2013 |
Data augmentation on-the-fly and active learning in data stream classification K Malialis, D Papatheodoulou, S Filippou, CG Panayiotou, ... Symposium Series on Computational Intelligence (SSCI), 2022 | 8 | 2022 |
A machine learning approach for detecting gps location spoofing attacks in autonomous vehicles S Filippou, A Achilleos, SZ Zukhraf, C Laoudias, K Malialis, MK Michael, ... 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-7, 2023 | 5 | 2023 |
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation J Li, K Malialis, MM Polycarpou 2023 International Joint Conference on Neural Networks (IJCNN), 2023 | 5 | 2023 |
A hybrid active-passive approach to imbalanced nonstationary data stream classification K Malialis, M Roveri, C Alippi, CG Panayiotou, MM Polycarpou Symposium Series on Computational Intelligence (SSCI), 2022 | 5 | 2022 |
Unsupervised unlearning of concept drift with autoencoders A Artelt, K Malialis, CG Panayiotou, MM Polycarpou, B Hammer 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 703-710, 2023 | 4 | 2023 |
Feature Selection as a Multiagent Coordination Problem K Malialis, J Wang, G Brooks, G Frangou AAMAS Workshop on Adaptive and Learning Agents (ALA), 2016 | 4 | 2016 |
Multi-agent reinforcement learning for multiple rogue drone interception P Valianti, K Malialis, P Kolios, G Ellinas 2023 International Conference on Unmanned Aircraft Systems (ICUAS), 1037-1044, 2023 | 2 | 2023 |
Intrusion response using difference rewards for scalability and online learning K Malialis, S Devlin, D Kudenko AAMAS Workshop on Adaptive and Learning Agents (ALA), 2014 | 2 | 2014 |
York reinforcement learning library (yorll) P Scopes, V Agarwal, S Devlin, K Efthymiadis, K Malialis, DT Kentse, ... Reinforcement Learning Group, Department of Computer Science, University of York, 2012 | 2 | 2012 |