| 2025 | CIBCB | Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19. | Zacharias Komodromos, Kleanthis Malialis, Panayiotis Kolios |
| 2024 | ESANN | Self-Supervised Learning from Incrementally Drifting Data Streams. | Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer |
| 2024 | IJCNN | Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences. | Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou |
| 2024 | IJCNN | Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification. | Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou |
| 2024 | SMC | Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning. | Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios, Georgios Ellinas |
| 2023 | ICANN | A Study of Data-Driven Methods for Adaptive Forecasting of COVID-19 Cases. | Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios |
| 2023 | IJCNN | Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. | Jin Li, Kleanthis Malialis, Marios M. Polycarpou |
| 2023 | VTC | A Machine Learning Approach for Detecting GPS Location Spoofing Attacks in Autonomous Vehicles. | Stylianos Filippou, A. Achilleos, Syeda Zillay Nain Zukhraf, Christos Laoudias, Kleanthis Malialis, Maria K. Michael, George Ellinas |
| 2020 | IJCNN | Data-efficient Online Classification with Siamese Networks and Active Learning. | Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou |
| 2018 | ICANN | Queue-Based Resampling for Online Class Imbalance Learning. | Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou |
| 2017 | WSDM | Real-Time Bidding by Reinforcement Learning in Display Advertising. | Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo |
| 2014 | ECAI | Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response. | Kleanthis Malialis, Sam Devlin, Daniel Kudenko |
| 2013 | IAAI | Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks. | Kleanthis Malialis, Daniel Kudenko |