Kleanthis Malialis

57 papers A 3B 6C 2Journal 35Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis. CoRR Artemis Kontou, Natalia Miroshnikova, Costakis Matheou, Sophocles Sophocleous, Nicholas Tsekouras, Kleanthis Malialis, Panayiotis Kolios
2026	J	`jnl`	Cross-Country Learning for National Infectious Disease Forecasting Using European Data. CoRR Zacharias Komodromos, Kleanthis Malialis, Artemis Kontou, Panayiotis Kolios
2026	J	`jnl`	Drift-Aware Variational Autoencoder-based Anomaly Detection with Two-level Ensembling. CoRR Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2026	J	`jnl`	Drift-aware variational autoencoder-based anomaly detection with two-level ensembling. Neurocomputing Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2026	J	`jnl`	Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization. CoRR Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos, Marios M. Polycarpou
2026	J	`jnl`	Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams. CoRR Jin Li, Kleanthis Malialis, Marios M. Polycarpou
2025	J	`jnl`	Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning. CoRR Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios, Georgios Ellinas
2025	C	`conf`	Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19. CIBCB Zacharias Komodromos, Kleanthis Malialis, Panayiotis Kolios
2025	J	`jnl`	Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19. CoRR Zacharias Komodromos, Kleanthis Malialis, Panayiotis Kolios
2025	J	`jnl`	Online Detection of Water Contamination Under Concept Drift. CoRR Jin Li, Kleanthis Malialis, Stelios G. Vrachimis, Marios M. Polycarpou
2025	J	`jnl`	SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks. CoRR Kleanthis Malialis, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou
2025	J	`jnl`	SiameseDuo++: Active learning from data streams with dual augmented siamese networks. Neurocomputing Kleanthis Malialis, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou
2025	J	`jnl`	Transformer-based Multivariate Time Series Anomaly Localization. CoRR Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos, Marios M. Polycarpou
2025	—	`conf`	Unsupervised Online Detection of Pipe Blockages and Leakages in Water Distribution Networks. SysTol Jin Li, Kleanthis Malialis, Stelios G. Vrachimis, Marios M. Polycarpou
2025	J	`jnl`	Unsupervised Online Detection of Pipe Blockages and Leakages in Water Distribution Networks. CoRR Jin Li, Kleanthis Malialis, Stelios G. Vrachimis, Marios M. Polycarpou
2025	J	`jnl`	Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas. CoRR Kleanthis Malialis, Nefeli Mavri, Stelios G. Vrachimis, Marios S. Kyriakou, Demetrios G. Eliades, Marios M. Polycarpou
2024	J	`jnl`	Cooperative Multi-Agent Jamming of Multiple Rogue Drones Using Reinforcement Learning. IEEE Trans. Mob. Comput. Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios, Georgios Ellinas
2024	B	`conf`	Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning. SMC Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios, Georgios Ellinas
2024	B	`conf`	Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification. IJCNN Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou
2024	J	`jnl`	Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification. CoRR Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou
2024	B	`conf`	Self-Supervised Learning from Incrementally Drifting Data Streams. ESANN Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2024	—	`conf`	Time-varying compartmental models with neural networks for pandemic infection forecasting. EMBC Marianna Karapitta, Andreas Kasis, Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios
2024	B	`conf`	Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences. IJCNN Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2024	J	`jnl`	Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences. CoRR Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2023	—	`conf`	A Machine Learning Approach for Detecting GPS Location Spoofing Attacks in Autonomous Vehicles. VTC2023-Spring Stylianos Filippou, A. Achilleos, Syeda Zillay Nain Zukhraf, Christos Laoudias, Kleanthis Malialis, Maria K. Michael, George Ellinas
2023	—	`conf`	A Study of Data-Driven Methods for Adaptive Forecasting of COVID-19 Cases. ICANN (1) Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios
2023	J	`jnl`	A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases. CoRR Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios
2023	B	`conf`	Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. IJCNN Jin Li, Kleanthis Malialis, Marios M. Polycarpou
2023	J	`jnl`	Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. CoRR Jin Li, Kleanthis Malialis, Marios M. Polycarpou
2023	—	`conf`	Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing. AIAI (1) Stylianos Filippou, Andreas Tsiartas, Petros Hadjineophytou, Spyros Christofides, Kleanthis Malialis, Christos G. Panayiotou
2023	J	`jnl`	Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing. CoRR Stylianos Filippou, Andreas Tsiartas, Petros Hadjineophytou, Spyros Christofides, Kleanthis Malialis, Christos G. Panayiotou
2023	—	`conf`	Unsupervised Unlearning of Concept Drift with Autoencoders. SSCI André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2022	—	`conf`	A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. SSCI Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou
2022	J	`jnl`	A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. CoRR Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou
2022	—	`conf`	A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring. AIAI (2) Dimitris Papatheodoulou, Pavlos Pavlou, Stelios G. Vrachimis, Kleanthis Malialis, Demetrios G. Eliades, Theocharis Theocharides
2022	J	`jnl`	A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring. CoRR Dimitris Papatheodoulou, Pavlos Pavlou, Stelios G. Vrachimis, Kleanthis Malialis, Demetrios G. Eliades, Theocharis Theocharides
2022	—	`conf`	Data Augmentation On-the-fly and Active Learning in Data Stream Classification. SSCI Kleanthis Malialis, Dimitris Papatheodoulou, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou
2022	J	`jnl`	Data augmentation on-the-fly and active learning in data stream classification. CoRR Kleanthis Malialis, Dimitris Papatheodoulou, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou
2022	J	`jnl`	Nonstationary data stream classification with online active learning and siamese neural networks Neurocomputing Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2022	J	`jnl`	Nonstationary data stream classification with online active learning and siamese neural networks. CoRR Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2022	J	`jnl`	Unsupervised Unlearning of Concept Drift with Autoencoders. CoRR André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2021	J	`jnl`	Online Learning With Adaptive Rebalancing in Nonstationary Environments. IEEE Trans. Neural Networks Learn. Syst. Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2020	B	`conf`	Data-efficient Online Classification with Siamese Networks and Active Learning. IJCNN Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2020	J	`jnl`	Data-efficient Online Classification with Siamese Networks and Active Learning. CoRR Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2020	J	`jnl`	Online Learning With Adaptive Rebalancing in Nonstationary Environments. CoRR Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2019	J	`jnl`	Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. CoRR Kleanthis Malialis, Sam Devlin, Daniel Kudenko
2018	—	`conf`	Queue-Based Resampling for Online Class Imbalance Learning. ICANN (1) Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2018	J	`jnl`	Queue-based Resampling for Online Class Imbalance Learning. CoRR Kleanthis Malialis, Christoforos Panayiotou, Marios M. Polycarpou
2017	A	`conf`	Real-Time Bidding by Reinforcement Learning in Display Advertising. WSDM Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
2017	J	`jnl`	Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
2016	J	`jnl`	Feature Selection as a Multiagent Coordination Problem. CoRR Kleanthis Malialis, Jun Wang, Gary Brooks, George Frangou
2016	A	`conf`	Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. AAMAS Kleanthis Malialis, Sam Devlin, Daniel Kudenko
2015	J	`jnl`	Distributed reinforcement learning for adaptive and robust network intrusion response. Connect. Sci. Kleanthis Malialis, Sam Devlin, Daniel Kudenko
2015	J	`jnl`	Distributed response to network intrusions using multiagent reinforcement learning. Eng. Appl. Artif. Intell. Kleanthis Malialis, Daniel Kudenko
2014	A	`conf`	Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response. ECAI Kleanthis Malialis, Sam Devlin, Daniel Kudenko
2014	—	`—`	Distributed reinforcement learning for network intrusion response. Kleanthis Malialis
2013	C	`conf`	Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks. IAAI Kleanthis Malialis, Daniel Kudenko