Kleanthis Malialis

According to our database, Kleanthis Malialis authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Cooperative Multi-Agent Jamming of Multiple Rogue Drones Using Reinforcement Learning.

Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios, Georgios Ellinas

IEEE Trans. Mob. Comput., December, 2024

Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification.

Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou

Proceedings of the International Joint Conference on Neural Networks, 2024

Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences.

Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

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

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Unsupervised Unlearning of Concept Drift with Autoencoders.

André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation.

Jin Li, Kleanthis Malialis, Marios M. Polycarpou

Proceedings of the International Joint Conference on Neural Networks, 2023

Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing.

Stylianos Filippou, Andreas Tsiartas, Petros Hadjineophytou, Spyros Christofides, Kleanthis Malialis, Christos G. Panayiotou

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

A Study of Data-Driven Methods for Adaptive Forecasting of COVID-19 Cases.

Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Nonstationary data stream classification with online active learning and siamese neural networks^✩.

Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou

Neurocomputing, 2022

Nonstationary data stream classification with online active learning and siamese neural networks.

Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou

CoRR, 2022

A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification.

Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Data Augmentation On-the-fly and Active Learning in Data Stream Classification.

Kleanthis Malialis, Dimitris Papatheodoulou, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring.

Dimitris Papatheodoulou, Pavlos Pavlou, Stelios G. Vrachimis, Kleanthis Malialis, Demetrios G. Eliades, Theocharis Theocharides

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021

Online Learning With Adaptive Rebalancing in Nonstationary Environments.

Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

Data-efficient Online Classification with Siamese Networks and Active Learning.

Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Queue-Based Resampling for Online Class Imbalance Learning.

Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Real-Time Bidding by Reinforcement Learning in Display Advertising.

Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016

Feature Selection as a Multiagent Coordination Problem.

Kleanthis Malialis, Jun Wang, Gary Brooks, George Frangou

CoRR, 2016

Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems.

Kleanthis Malialis, Sam Devlin, Daniel Kudenko

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Distributed response to network intrusions using multiagent reinforcement learning.

Kleanthis Malialis, Daniel Kudenko

Eng. Appl. Artif. Intell., 2015

Distributed reinforcement learning for adaptive and robust network intrusion response.

Kleanthis Malialis, Sam Devlin, Daniel Kudenko

Connect. Sci., 2015

2014

Distributed reinforcement learning for network intrusion response.

Kleanthis Malialis

PhD thesis, 2014

Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response.

Kleanthis Malialis, Sam Devlin, Daniel Kudenko

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks.

Kleanthis Malialis, Daniel Kudenko

Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013