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…
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…
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…