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2020 – today
- 2024
[j4]Michela Proietti
, Alessio Ragno, Biagio La Rosa, Rino Ragno, Roberto Capobianco:
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening. Mach. Learn. 113(4): 2013-2044 (2024)- [j3]Alessio Ragno, Biagio La Rosa, Roberto Capobianco:
Prototype-Based Interpretable Graph Neural Networks. IEEE Trans. Artif. Intell. 5(4): 1486-1495 (2024) - [i4]Biagio La Rosa:
Explaining Deep Neural Networks by Leveraging Intrinsic Methods. CoRR abs/2407.12243 (2024) - 2023
- [j2]Biagio La Rosa, Roberto Capobianco, Daniele Nardi:
A self-interpretable module for deep image classification on small data. Appl. Intell. 53(8): 9115-9147 (2023) - [j1]Biagio La Rosa, Graziano Blasilli, Romain Bourqui, David Auber, Giuseppe Santucci, Roberto Capobianco, Enrico Bertini, Romain Giot, Marco Angelini:
State of the Art of Visual Analytics for eXplainable Deep Learning. Comput. Graph. Forum 42(1): 319-355 (2023) - [c4]Biagio La Rosa, Leilani Gilpin, Roberto Capobianco:
Towards a fuller understanding of neurons with Clustered Compositional Explanations. NeurIPS 2023 - [i3]Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco:
Towards a fuller understanding of neurons with Clustered Compositional Explanations. CoRR abs/2310.18443 (2023) - 2021
- [c3]Biagio La Rosa, Roberto Capobianco, Daniele Nardi:
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking. DP@AI*IA 2021: 33-44 - [c2]Sayo M. Makinwa, Biagio La Rosa, Roberto Capobianco:
Detection Accuracy for Evaluating Compositional Explanations of Units. AI*IA 2021: 550-563 - [i2]Biagio La Rosa, Roberto Capobianco, Daniele Nardi:
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models. CoRR abs/2106.01440 (2021) - [i1]Sayo M. Makinwa, Biagio La Rosa, Roberto Capobianco:
Detection Accuracy for Evaluating Compositional Explanations of Units. CoRR abs/2109.07804 (2021) - 2020
- [c1]Biagio La Rosa, Roberto Capobianco, Daniele Nardi:
Explainable Inference on Sequential Data via Memory-Tracking. IJCAI 2020: 2006-2013
Coauthor Index
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