Kleanthis Malialis

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Charithea Stylianides

Syeda Zillay Nain Zukhraf

Panayiotis Kolios

CoRR, 2023

A Machine Learning Approach for Detecting GPS Location Spoofing Attacks in Autonomous Vehicles.

[BibT_eX]

[DOI]

Stylianos Filippou

A. Achilleos

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Unsupervised Unlearning of Concept Drift with Autoencoders.

[BibT_eX]

[DOI]

André Artelt

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.

[BibT_eX]

[DOI]

Jin Li

Proceedings of the International Joint Conference on Neural Networks, 2023

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

[BibT_eX]

[DOI]

Stylianos Filippou

Andreas Tsiartas

Petros Hadjineophytou

Spyros Christofides

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022

Nonstationary data stream classification with online active learning and siamese neural networks<sup>✩</sup>.

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Manuel Roveri

Cesare Alippi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

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

[BibT_eX]

[DOI]

Dimitris Papatheodoulou

Stylianos Filippou

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

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

[BibT_eX]

[DOI]

Dimitris Papatheodoulou

Theocharis Theocharides

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021

Online Learning With Adaptive Rebalancing in Nonstationary Environments.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

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

[BibT_eX]

[DOI]

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

2018

Queue-Based Resampling for Online Class Imbalance Learning.

[BibT_eX]

[DOI]

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

2017

Real-Time Bidding by Reinforcement Learning in Display Advertising.

[BibT_eX]

[DOI]

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

2016

Feature Selection as a Multiagent Coordination Problem.

[BibT_eX]

[DOI]

CoRR, 2016

Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems.

[BibT_eX]

[DOI]

Sam Devlin

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

2015

Distributed response to network intrusions using multiagent reinforcement learning.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

Distributed reinforcement learning for adaptive and robust network intrusion response.

[BibT_eX]

[DOI]

Sam Devlin

Connect. Sci., 2015

2014

Distributed reinforcement learning for network intrusion response.

[BibT_eX]

[DOI]

PhD thesis, 2014

Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response.

[BibT_eX]

[DOI]

Sam Devlin

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.

[BibT_eX]

[DOI]