activity
20082024
most citedNonparametric sparsity and regularization

59 citations · 134 across the 9 of their papers we have counts for

collaborators

10 papers

physics.bio-ph2024

Q-learning with temporal memory to navigate turbulence

Marco Rando, Martin James, Alessandro Verri +2

We consider the problem of olfactory searches in a turbulent environment. We focus on agents that respond solely to odor stimuli, with no access to spatial perception nor prior inf…

eess.IV2023★ 3 cited

The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection

Rosanna Turrisi, Alessandro Verri, Annalisa Barla

Machine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical p…

cs.LG2022★ 2 cited

Physics Informed Shallow Machine Learning for Wind Speed Prediction

Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana +4

The ability to predict wind is crucial for both energy production and weather forecasting. Mechanistic models that form the basis of traditional forecasting perform poorly near the…

stat.ML2018★ 13 cited

Latent Variable Time-varying Network Inference

Federico Tomasi, Veronica Tozzo, Saverio Salzo +1

In many applications of finance, biology and sociology, complex systems involve entities interacting with each other. These processes have the peculiarity of evolving over time and…

stat.ML2016

A temporal model for multiple sclerosis course evolution

Samuele Fiorini, Andrea Tacchino, Giampaolo Brichetto +2

Multiple Sclerosis is a degenerative condition of the central nervous system that affects nearly 2.5 million of individuals in terms of their physical, cognitive, psychological and…

cs.HC2014★ 54 cited

Real-time Automatic Emotion Recognition from Body Gestures

Stefano Piana, Alessandra Staglianò, Francesca Odone +2

Although psychological research indicates that bodily expressions convey important affective information, to date research in emotion recognition focused mainly on facial expressio…