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
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
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
Logic explained networks
G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci
Artificial Intelligence 314, 103822, 2023
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
Modeling Generalization in Machine Learning: A Methodological and Computational Study
P Barbiero, G Squillero, A Tonda
arXiv preprint arXiv:2006.15680, 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
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
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
Concept Distillation in Graph Neural Networks
LC Magister, P Barbiero, D Kazhdan, F Siciliano, G Ciravegna, F Silvestri, ...
World Conference on Explainable Artificial Intelligence, 233-255, 2023
Towards robust metrics for concept representation evaluation
ME Zarlenga, P Barbiero, Z Shams, D Kazhdan, U Bhatt, A Weller, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11791 …, 2023
A survey on data integration for multi-omics sample clustering
M Lovino, V Randazzo, G Ciravegna, P Barbiero, E Ficarra, G Cirrincione
Interpretable neural-symbolic concept reasoning
P Barbiero, G Ciravegna, F Giannini, ME Zarlenga, LC Magister, A Tonda, ...
International Conference on Machine Learning, 1801-1825, 2023
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
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 concept-based interpretability for graph neural networks via neuron analysis
H Xuanyuan, P Barbiero, D Georgiev, LC Magister, P Liò
Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10675 …, 2023
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
Extending Logic Explained Networks to Text Classification
R Jain, G Ciravegna, P Barbiero, F Giannini, D Buffelli, P Lio
arXiv preprint arXiv:2211.09732, 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
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