13 citations · 15 across the 8 of their papers we have counts for
8 papers
A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health
Pavlos Nicolaou, Kleanthis Malialis, Artemis Kontou +1
Wearable devices and smartphones generate rich behavioural time series that can support proactive health interventions, yet systematic comparisons of modern forecasting architectur…
A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis
Artemis Kontou, Natalia Miroshnikova, Costakis Matheou +4
This study presents AI-HEART, a cloud-based information system for managing and analysing long-duration ambulatory electrocardiogram (ECG) recordings and supporting clinician decis…
Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
Jin Li, Kleanthis Malialis, Marios Polycarpou
In today's connected world, the generation of massive streaming data across diverse domains has become commonplace. In the presence of concept drift, class imbalance, label scarcit…
Cross-Country Learning for National Infectious Disease Forecasting Using European Data
Zacharias Komodromos, Kleanthis Malialis, Artemis Kontou +1
Accurate forecasting of infectious disease incidence is critical for public health planning and timely intervention. While most data-driven forecasting approaches rely primarily on…
Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19
Zacharias Komodromos, Kleanthis Malialis, Panayiotis Kolios
Emerging in December 2019, the COVID-19 pandemic caused widespread health, economic, and social disruptions. Rapid global transmission overwhelmed healthcare systems, resulting in…
Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning
Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios +1
This work considers the problem of intercepting rogue drones targeting sensitive critical infrastructure facilities. While current interception technologies focus mainly on the jam…
Transformer-based Multivariate Time Series Anomaly Localization
Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos +1
With the growing complexity of Cyber-Physical Systems (CPS) and the integration of Internet of Things (IoT), the use of sensors for online monitoring generates large volume of mult…
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas
Kleanthis Malialis, Nefeli Mavri, Stelios G. Vrachimis +3
Accurate water consumption forecasting is a crucial tool for water utilities and policymakers, as it helps ensure a reliable supply, optimize operations, and support infrastructure…