33 citations · 78 across the 25 of their papers we have counts for
9 papers · 1 filter
Weighted Score-Oriented Losses for Temporally Localized Event Prediction
Edoardo Legnaro, Sabrina Guastavino, Francesco Marchetti
Operational event-detection systems are rarely assessed by pointwise accuracy alone. In anomaly detection, changepoint detection, and warning systems, the utility of an alarm depen…
The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex
Francesco Marchetti, Edoardo Legnaro, Sabrina Guastavino
In the supervised binary classification setting, score-oriented losses have been introduced with the aim of optimizing a chosen performance metric directly during the training phas…
Multiclass threshold-based classification and model evaluation
Edoardo Legnaro, Sabrina Guastavino, Francesco Marchetti
In this paper, we introduce a threshold-based framework for multiclass classification that generalizes the standard argmax rule. This is done by replacing the probabilistic interpr…
AI-based modular warning machine for risk identification in proximity healthcare
Chiara Razzetta, Shahryar Noei, Federico Barbarossa +17
"DHEAL-COM - Digital Health Solutions in Community Medicine" is a research and technology project funded by the Italian Department of Health for the development of digital solution…
Multiclass threshold-based classification
Francesco Marchetti, Edoardo Legnaro, Sabrina Guastavino
In this paper, we introduce a threshold-based framework for multiclass classification that generalizes the standard argmax rule. This is done by replacing the probabilistic interpr…
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
Francesco Marchetti, Sabrina Guastavino, Cristina Campi +2
In many contexts, customized and weighted classification scores are designed in order to evaluate the goodness of the predictions carried out by neural networks. However, there exi…
Prediction of severe thunderstorm events with ensemble deep learning and radar data
Sabrina Guastavino, Michele Piana, Marco Tizzi +5
The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelli…
Score-oriented loss (SOL) functions
Francesco Marchetti, Sabrina Guastavino, Michele Piana +1
Loss functions engineering and the assessment of forecasting performances are two crucial and intertwined aspects of supervised machine learning. This paper focuses on binary class…
Bad and good errors: value-weighted skill scores in deep ensemble learning
Sabrina Guastavino, Michele Piana, Federico Benvenuto
In this paper we propose a novel approach to realize forecast verification. Specifically, we introduce a strategy for assessing the severity of forecast errors based on the evidenc…