17 citations · 101 across the 27 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…
Adaptive Out-of-Control Point Pattern Detection in Sequential Random Finite Set Observations
Konstantinos Bourazas, Savvas Papaioannou, Panayiotis Kolios
In this work we introduce a novel adaptive anomaly detection framework specifically designed for monitoring sequential random finite set (RFS) observations. Our approach effectivel…
Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersections
Dinesh Cyril Selvaraj, Christian Vitale, Tania Panayiotou +3
Intersection crossing represents one of the most dangerous sections of the road infrastructure and Connected Vehicles (CVs) can serve as a revolutionary solution to the problem. In…
A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases
Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios
Severe acute respiratory disease SARS-CoV-2 has had a found impact on public health systems and healthcare emergency response especially with respect to making decisions on the mos…