| 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 | 127 | 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 | 44 | 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 | 34 | 2021 |
| Logic explained networks G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci Artificial Intelligence 314, 103822, 2023 | 31 | 2023 |
| Modeling Generalization in Machine Learning: A Methodological and Computational Study P Barbiero, G Squillero, A Tonda arXiv preprint arXiv:2006.15680, 2020 | 31 | 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 | 30 | 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 | 29 | 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 | 27* | 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 | 23 | 2020 |
| A survey on data integration for multi-omics sample clustering M Lovino, V Randazzo, G Ciravegna, P Barbiero, E Ficarra, G Cirrincione | 14 | 2021 |
| 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 | 13 | 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 | 11 | 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 | 10 | 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 | 9* | 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 | 8 | 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 | 8 | 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 | 8 | 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 | 7* | 2023 |
| PyTorch, Explain! A Python library for Logic Explained Networks P Barbiero, G Ciravegna, D Georgiev, F Giannini arXiv preprint arXiv:2105.11697, 2021 | 5* | 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 | 5 | 2019 |
Gabriele CiravegnaDBDMG, DAUIN, Politecnico di TorinoVerified email at polito.it
