5 citations · 12 across the 5 of their papers we have counts for
5 papers
The impact of abnormal temperatures on crop yields in Italy: a functional quantile regression approach
Giovanni Bocchi, Alessandra Micheletti, Paolo Nota +1
In this study, we apply functional regression analysis to identify the specific within-season periods during which temperature and precipitation anomalies most affect crop yields.…
GENEOnet: Statistical analysis supporting explainability and trustworthiness
Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti +5
Group Equivariant Non-Expansive Operators (GENEOs) have emerged as mathematical tools for constructing networks for Machine Learning and Artificial Intelligence. Recent findings su…
A novel approach to graph distinction through GENEOs and permutants
Giovanni Bocchi, Massimo Ferri, Patrizio Frosini
The theory of Group Equivariant Non-Expansive Operators (GENEOs) was initially developed in Topological Data Analysis for the geometric approximation of data observers, including t…
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification
Diogo Lavado, Cláudia Soares, Alessandra Micheletti +4
Research in 3D semantic segmentation has been increasing performance metrics, like the IoU, by scaling model complexity and computational resources, leaving behind researchers and…
GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection
Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti +5
Nowadays there is a big spotlight cast on the development of techniques of explainable machine learning. Here we introduce a new computational paradigm based on Group Equivariant N…