Kleanthis Malialis

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Venues

University of York, UK (PHD)

Education History

University of York, UK

PHD

Publications

Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification. CoRR (2024)
Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences. CoRR (2024)
Stylianos Filippou, Andreas Tsiartas, Petros Hadjineophytou, Spyros Christofides, Kleanthis Malialis, Christos G. Panayiotou
Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing. AIAI (1) (2023)
André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
Unsupervised Unlearning of Concept Drift with Autoencoders. SSCI (2023)
Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios
A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases. CoRR (2023)
Stylianos Filippou, A. Tsiartas, P. Hadjineophytou, S. Christofides, Kleanthis Malialis, Christos G. Panayiotou
Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing. CoRR (2023)
Jin Li, Kleanthis Malialis, Marios M. Polycarpou
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. CoRR (2023)
Jin Li, Kleanthis Malialis, Marios M. Polycarpou
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. IJCNN (2023)
Stylianos Filippou, A. Achilleos, Syeda Zillay Nain Zukhraf, Christos Laoudias, Kleanthis Malialis, Maria K. Michael, George Ellinas
A Machine Learning Approach for Detecting GPS Location Spoofing Attacks in Autonomous Vehicles. VTC2023-Spring (2023)
Dimitris Papatheodoulou, Pavlos Pavlou, Stelios G. Vrachimis, Kleanthis Malialis, Demetrios G. Eliades, Theocharis Theocharides
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring. AIAI (2) (2022)
Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. CoRR (2022)
Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. SSCI (2022)
Dimitris Papatheodoulou, Pavlos Pavlou, Stelios G. Vrachimis, Kleanthis Malialis, Demetrios G. Eliades, Theocharis Theocharides
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring. CoRR (2022)
Kleanthis Malialis, Dimitris Papatheodoulou, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou
Data augmentation on-the-fly and active learning in data stream classification. CoRR (2022)
André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
Unsupervised Unlearning of Concept Drift with Autoencoders. CoRR (2022)
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Nonstationary data stream classification with online active learning and siamese neural networks. CoRR (2022)
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
. Neurocomputing 512 (2022)
Kleanthis Malialis, Dimitris Papatheodoulou, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou
Data Augmentation On-the-fly and Active Learning in Data Stream Classification. SSCI (2022)
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Online Learning With Adaptive Rebalancing in Nonstationary Environments. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Data-efficient Online Classification with Siamese Networks and Active Learning. IJCNN (2020)
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Online Learning With Adaptive Rebalancing in Nonstationary Environments. CoRR (2020)
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Data-efficient Online Classification with Siamese Networks and Active Learning. CoRR (2020)
Kleanthis Malialis, Sam Devlin, Daniel Kudenko
Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. CoRR (2019)
Kleanthis Malialis, Christoforos Panayiotou, Marios M. Polycarpou
Queue-based Resampling for Online Class Imbalance Learning. CoRR (2018)
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Queue-Based Resampling for Online Class Imbalance Learning. ICANN (1) (2018)
Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR (2017)
Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
Real-Time Bidding by Reinforcement Learning in Display Advertising. WSDM (2017)
Kleanthis Malialis, Jun Wang, Gary Brooks, George Frangou
Feature Selection as a Multiagent Coordination Problem. CoRR (2016)
Kleanthis Malialis, Sam Devlin, Daniel Kudenko
Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. AAMAS (2016)
Kleanthis Malialis, Daniel Kudenko
Distributed response to network intrusions using multiagent reinforcement learning. Eng. Appl. Artif. Intell. 41 (2015)
Kleanthis Malialis, Sam Devlin, Daniel Kudenko
Distributed reinforcement learning for adaptive and robust network intrusion response. Connect. Sci. 27 (3) (2015)
Kleanthis Malialis, Sam Devlin, Daniel Kudenko
Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response. ECAI (2014)
Kleanthis Malialis, Daniel Kudenko
Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks. IAAI (2013)

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Publication Activity (10 Years)

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Kleanthis Malialis