234 citations · 333 across the 11 of their papers we have counts for
16 papers
Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation
Gianpaolo Alvari, Ersilia Vallefuoco, Melanie Cristofolini +6
Virtual Reality (VR) has emerged as a promising tool for enhancing social skills and emotional well-being in individuals with Autism Spectrum Disorder (ASD). Through a technical ex…
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee +6
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data pr…
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive
Gabriele Franch, Giuseppe Jurman, Luca Coviello +2
The use of analogs - similar weather patterns - for weather forecasting and analysis is an established method in meteorology. The most challenging aspect of using this approach in…
In-field grape berries counting for yield estimation using dilated CNNs
L. Coviello, M. Cristoforetti, G. Jurman +1
Digital technologies ignited a revolution in the agrifood domain known as precision agriculture: a main question for enabling precision agriculture at scale is if accurate product…
High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning
Andrea Gobbi, Marco Cristoforetti, Giuseppe Jurman +1
Climate change impacts could cause progressive decrease of crop quality and yield, up to harvest failures. In particular, heat waves and other climate extremes can lead to localize…
AI slipping on tiles: data leakage in digital pathology
Nicole Bussola, Alessia Marcolini, Valerio Maggio +2
Reproducibility of AI models on biomedical data still stays as a major concern for their acceptance into the clinical practice. Initiatives for reproducibility in the development o…