13 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
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…