Pietro Barbiero
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An Individual’s Connection to Nature Can Affect Perceived Restorativeness of Natural Environments. Some Observations about Biophilia
R Berto, G Barbiero, P Barbiero, G Senes
Behavioral Sciences 8 (3), 34, 2018
Entropy-based logic explanations of neural networks
P Barbiero, G Ciravegna, F Giannini, P Lió, M Gori, S Melacci
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6046-6054, 2022
Graph representation forecasting of patient's medical conditions: Toward a digital twin
P Barbiero, R Vinas Torne, P Lió
Frontiers in genetics 12, 652907, 2021
Logic explained networks
G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci
Artificial Intelligence 314, 103822, 2023
Modeling Generalization in Machine Learning: A Methodological and Computational Study
P Barbiero, G Squillero, A Tonda
arXiv preprint arXiv:2006.15680, 2020
The GH-EXIN neural network for hierarchical clustering
G Cirrincione, G Ciravegna, P Barbiero, V Randazzo, E Pasero
Neural Networks 121, 57-73, 2020
Forecasting Ultra-early Intensive Care Strain from COVID-19 in England, v1. 1.4
J Deasy, E Rocheteau, K Kohler, DJ Stubbs, P Barbiero, P Lio, A Ercole
MedRxiv, 2020.03. 19.20039057, 2020
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
M Espinosa Zarlenga, P Barbiero, G Ciravegna, G Marra, F Giannini, ...
Advances in Neural Information Processing Systems 35, 21400-21413, 2022
Shallow versus deep neural networks in gear fault diagnosis
G Cirrincione, RR Kumar, A Mohammadi, SH Kia, P Barbiero, J Ferretti
IEEE Transactions on Energy Conversion 35 (3), 1338-1347, 2020
A survey on data integration for multi-omics sample clustering
M Lovino, V Randazzo, G Ciravegna, P Barbiero, E Ficarra, G Cirrincione
Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition
F Nonis, P Barbiero, G Cirrincione, EC Olivetti, F Marcolin, E Vezzetti
Progresses in Artificial Intelligence and Neural Systems, 281-290, 2020
Global Explainability of GNNs via Logic Combination of Learned Concepts
S Azzolin, A Longa, P Barbiero, P Liò, A Passerini
arXiv preprint arXiv:2210.07147, 2022
Algorithmic Concept-Based Explainable Reasoning
D Georgiev, P Barbiero, D Kazhdan, P Veličković, P Liò
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6685-6693, 2022
Neural Biclustering in Gene Expression Analysis
P Barbiero, A Bertotti, G Ciravegna, G Cirrincione, E Pasero, E Piccolo
CSCI'17 (The 2017 International Conference on Computational Science and …, 2017
Encoding Concepts in Graph Neural Networks
LC Magister, P Barbiero, D Kazhdan, F Siciliano, G Ciravegna, F Silvestri, ...
arXiv preprint arXiv:2207.13586, 2022
Assessing discriminating capability of geometrical descriptors for 3D face recognition by using the GH-EXIN neural network
G Ciravegna, G Cirrincione, F Marcolin, P Barbiero, N Dagnes, E Piccolo
Neural Approaches to Dynamics of Signal Exchanges, 223-233, 2020
Unsupervised gene identification in colorectal cancer
P Barbiero, A Bertotti, G Ciravegna, G Cirrincione, E Pasero, E Piccolo
Quantifying and Processing Biomedical and Behavioral Signals 27, 219-227, 2019
Towards Robust Metrics For Concept Representation Evaluation
ME Zarlenga, P Barbiero, Z Shams, D Kazhdan, U Bhatt, A Weller, ...
arXiv preprint arXiv:2301.10367, 2023
PyTorch, Explain! A Python library for Logic Explained Networks
P Barbiero, G Ciravegna, D Georgiev, F Giannini
arXiv preprint arXiv:2105.11697, 2021
A Novel Outlook on Feature Selection as a Multi-objective Problem
P Barbiero, E Lutton, G Squillero, A Tonda
International Conference on Artificial Evolution (Evolution Artificielle), 68-81, 2019
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