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ORCIDKleanthis Malialis
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2020 – today
- 2025
[j6]Kleanthis Malialis
, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou:
SiameseDuo++: Active learning from data streams with dual augmented siamese networks. Neurocomputing 637: 130083 (2025)- [i21]Kleanthis Malialis, Nefeli Mavri, Stelios G. Vrachimis, Marios S. Kyriakou, Demetrios G. Eliades, Marios M. Polycarpou:
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas. CoRR abs/2501.00158 (2025) - [i20]Jin Li, Kleanthis Malialis, Stelios G. Vrachimis, Marios M. Polycarpou:
Online Detection of Water Contamination Under Concept Drift. CoRR abs/2501.02107 (2025) - [i19]Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos, Marios M. Polycarpou:
Transformer-based Multivariate Time Series Anomaly Localization. CoRR abs/2501.08628 (2025) - [i18]Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios, Georgios Ellinas:
Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning. CoRR abs/2501.10413 (2025) - [i17]Kleanthis Malialis, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou:
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks. CoRR abs/2504.04613 (2025) - 2024
- [j5]Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios, Georgios Ellinas:
Cooperative Multi-Agent Jamming of Multiple Rogue Drones Using Reinforcement Learning. IEEE Trans. Mob. Comput. 23(12): 12345-12359 (2024) - [c19]Marianna Karapitta, Andreas Kasis, Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios:
Time-varying compartmental models with neural networks for pandemic infection forecasting. EMBC 2024: 1-5 - [c18]Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer:
Self-Supervised Learning from Incrementally Drifting Data Streams. ESANN 2024 - [c17]Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences. IJCNN 2024: 1-8 - [c16]Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou:
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification. IJCNN 2024: 1-7 - [c15]Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios, Georgios Ellinas:
Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning. SMC 2024: 2091-2096 - [i16]Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences. CoRR abs/2403.03576 (2024) - [i15]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 abs/2404.02572 (2024) - 2023
- [c14]Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios:
A Study of Data-Driven Methods for Adaptive Forecasting of COVID-19 Cases. ICANN (1) 2023: 62-74 - [c13]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: 214-224 - [c12]Jin Li, Kleanthis Malialis, Marios M. Polycarpou:
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. IJCNN 2023: 1-8 - [c11]André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer:
Unsupervised Unlearning of Concept Drift with Autoencoders. SSCI 2023: 703-710 - [c10]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: 1-7 - [i14]Stylianos Filippou, Andreas Tsiartas, Petros Hadjineophytou, Spyros Christofides, Kleanthis Malialis, Christos G. Panayiotou:
Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing. CoRR abs/2305.08594 (2023) - [i13]Jin Li, Kleanthis Malialis, Marios M. Polycarpou:
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. CoRR abs/2305.08977 (2023) - [i12]Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios:
A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases. CoRR abs/2309.09698 (2023) - 2022
- [j4]Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Nonstationary data stream classification with online active learning and siamese neural networks✩. Neurocomputing 512: 235-252 (2022) - [c9]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: 53-66 - [c8]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: 1021-1027 - [c7]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: 1408-1414 - [i11]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 abs/2210.00089 (2022) - [i10]Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Nonstationary data stream classification with online active learning and siamese neural networks. CoRR abs/2210.01090 (2022) - [i9]Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou:
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. CoRR abs/2210.04949 (2022) - [i8]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 abs/2210.06873 (2022) - [i7]André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer:
Unsupervised Unlearning of Concept Drift with Autoencoders. CoRR abs/2211.12989 (2022) - 2021
- [j3]Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Online Learning With Adaptive Rebalancing in Nonstationary Environments. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4445-4459 (2021) - 2020
- [c6]Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Data-efficient Online Classification with Siamese Networks and Active Learning. IJCNN 2020: 1-7 - [i6]Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Online Learning With Adaptive Rebalancing in Nonstationary Environments. CoRR abs/2009.11942 (2020) - [i5]Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Data-efficient Online Classification with Siamese Networks and Active Learning. CoRR abs/2010.01659 (2020)
2010 – 2019
- 2019
- [i4]Kleanthis Malialis, Sam Devlin, Daniel Kudenko:
Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. CoRR abs/1903.05431 (2019) - 2018
- [c5]Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Queue-Based Resampling for Online Class Imbalance Learning. ICANN (1) 2018: 498-507 - [i3]Kleanthis Malialis, Christoforos Panayiotou, Marios M. Polycarpou:
Queue-based Resampling for Online Class Imbalance Learning. CoRR abs/1809.10388 (2018) - 2017
- [c4]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: 661-670 - [i2]Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo:
Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR abs/1701.02490 (2017) - 2016
- [c3]Kleanthis Malialis, Sam Devlin, Daniel Kudenko:
Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. AAMAS 2016: 503-511 - [i1]Kleanthis Malialis, Jun Wang, Gary Brooks, George Frangou:
Feature Selection as a Multiagent Coordination Problem. CoRR abs/1603.05152 (2016) - 2015
- [j2]Kleanthis Malialis, Sam Devlin, Daniel Kudenko:
Distributed reinforcement learning for adaptive and robust network intrusion response. Connect. Sci. 27(3): 234-252 (2015) - [j1]Kleanthis Malialis, Daniel Kudenko:
Distributed response to network intrusions using multiagent reinforcement learning. Eng. Appl. Artif. Intell. 41: 270-284 (2015) - 2014
- [b1]Kleanthis Malialis:
Distributed reinforcement learning for network intrusion response. University of York, UK, 2014 - [c2]Kleanthis Malialis, Sam Devlin, Daniel Kudenko:
Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response. ECAI 2014: 1063-1064 - 2013
- [c1]Kleanthis Malialis, Daniel Kudenko:
Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks. IAAI 2013: 1551-1556
Coauthor Index
aka: Christos G. Panayiotou
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last updated on 2025-05-19 21:14 CEST by the dblp team
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