LA ROSA, BIAGIO
LA ROSA, BIAGIO
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking
2022 La Rosa, B.; Capobianco, R.; Nardi, D.
A self-interpretable module for deep image classification on small data
2023 La Rosa, B; Capobianco, R; Nardi, D
Detection accuracy for evaluating compositional explanations of units
2022 Makinwa, S. M.; La Rosa, B.; Capobianco, R.
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening
2023 Proietti, Michela; Ragno, Alessio; Rosa, Biagio La; Ragno, Rino; Capobianco, Roberto
Explainable inference on sequential data via memory-tracking
2020 LA ROSA, Biagio; Capobianco, Roberto; Nardi, Daniele
Explaining deep neural networks by leveraging intrinsic methods
2024 LA ROSA, Biagio
Prototype-based Interpretable Graph Neural Networks
2022 Ragno, Alessio; LA ROSA, Biagio; Capobianco, Roberto
State of the Art of Visual Analytics for eXplainable Deep Learning
2023 LA ROSA, Biagio; Blasilli, Graziano; Bourqui, Romain; Auber, David; Santucci, Giuseppe; Capobianco, Roberto; Bertini, Enrico; Giot, Romain; Angelini, Marco
Towards a fuller understanding of neurons with Clustered Compositional Explanations
2023 LA ROSA, Biagio; Gilpin, Leilani H.; Capobianco, Roberto