| 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 | 225 | 2017 |
| Distributed response to network intrusions using multiagent reinforcement learning K Malialis, D Kudenko Engineering Applications of Artificial Intelligence 41, 270-284, 2015 | 56 | 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 | 38 | 2016 |
| Distributed reinforcement learning for adaptive and robust network intrusion response K Malialis, S Devlin, D Kudenko Connection Science 27 (3), 234-252, 2015 | 27 | 2015 |
| Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks K Malialis, D Kudenko AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI), 2013 | 18 | 2013 |
| Online Learning With Adaptive Rebalancing in Nonstationary Environments K Malialis, CG Panayiotou, MM Polycarpou IEEE Transactions on Neural Networks and Learning Systems, 2021 | 15 | 2021 |
| Distributed reinforcement learning for network intrusion response K Malialis University of York, 2014 | 12 | 2014 |
| Large-scale DDoS response using cooperative reinforcement learning K Malialis, D Kudenko 11th European Workshop on Multi-Agent Systems (EUMAS), 2013 | 12 | 2013 |
| 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 | 10 | 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 | 9 | 2020 |
| Nonstationary data stream classification with online active learning and siamese neural networks✩ K Malialis, CG Panayiotou, MM Polycarpou Neurocomputing 512, 235-252, 2022 | 8 | 2022 |
| 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 | 3 | 2022 |
| 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 | 3 | 2022 |
| Feature Selection as a Multiagent Coordination Problem K Malialis, J Wang, G Brooks, G Frangou AAMAS Workshop on Adaptive and Learning Agents (ALA), 2016 | 3 | 2016 |
| 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 |
| Coordinated team learning and difference rewards for distributed intrusion response K Malialis, S Devlin, D Kudenko 21st European Conference on Artificial Intelligence (ECAI), 1063-1064, 2014 | 1 | 2014 |
| Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation J Li, K Malialis, MM Polycarpou arXiv preprint arXiv:2305.08977, 2023 | | 2023 |
| Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing S Filippou, A Tsiartas, P Hadjineophytou, S Christofides, K Malialis, ... arXiv preprint arXiv:2305.08594, 2023 | | 2023 |
| Unsupervised Unlearning of Concept Drift with Autoencoders A Artelt, K Malialis, C Panayiotou, M Polycarpou, B Hammer arXiv preprint arXiv:2211.12989, 2022 | | 2022 |
Daniel KudenkoL3S Research Center, Leibniz University Hannover, GermanyVerified email at l3s.de
