| 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 | 94* | 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 | 75* | 2022 |
| Logic explained networks G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci Artificial Intelligence 314, 103822, 2023 | 60 | 2023 |
| Human-driven FOL explanations of deep learning G Ciravegna, F Giannini, M Gori, M Maggini, S Melacci IJCAI 2021, 2234-2240, 2020 | 38 | 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 | 35 | 2020 |
| Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers S Melacci, G Ciravegna, A Sotgiu, A Demontis, B Biggio, M Gori, F Roli IEEE Transactions on Pattern Analysis and Machine Intelligence, 10.1109 …, 2021 | 31* | 2021 |
| 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 | 24* | 2023 |
| A constraint-based approach to learning and explanation G Ciravegna, F Giannini, S Melacci, M Maggini, M Gori Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3658-3665, 2020 | 21 | 2020 |
| A survey on data integration for multi-omics sample clustering M Lovino, V Randazzo, G Ciravegna, P Barbiero, E Ficarra, G Cirrincione Neurocomputing 488, 494-508, 2022 | 20 | 2022 |
| 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 | 18* | 2023 |
| Graph Neural Networks for Graph Drawing M Tiezzi, G Ciravegna, M Gori IEEE Transactions on Neural Networks and Learning Systems, 1 - 14, 2022 | 16 | 2022 |
| Neural biclustering in gene expression analysis B Pietro, C Gabriele, E Piccolo, C Giansalvo, C Maurizio, A Bertotti 2017 International Conference on Computational Science and Computational …, 2017 | 10 | 2017 |
| Extending logic explained networks to text classification R Jain, G Ciravegna, P Barbiero, F Giannini, D Buffelli, P Lio Conference on Empirical Methods in Natural Language Processing, 8838-8857, 2022 | 9 | 2022 |
| Encryption-agnostic classifiers of traffic originators and their application to anomaly detection D Canavese, L Regano, C Basile, G Ciravegna, A Lioy Computers & Electrical Engineering 97, 107621, 2022 | 9 | 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 Italian Workshop on Neural Networks (WIRN 2018), 2018 | 9 | 2018 |
| Concept-based explainable artificial intelligence: A survey E Poeta, G Ciravegna, E Pastor, T Cerquitelli, E Baralis arXiv preprint arXiv:2312.12936, 2023 | 8 | 2023 |
| 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 |
| Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network V Randazzo, G Cirrincione, G Ciravegna, E Pasero 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 8 | 2018 |
| Knowledge-driven active learning G Ciravegna, F Precioso, A Betti, K Mottin, M Gori Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 5 | 2023 |
| Data set and machine learning models for the classification of network traffic originators D Canavese, L Regano, C Basile, G Ciravegna, A Lioy Data in Brief 41, 107968, 2022 | 5 | 2022 |
Pietro BarbieroUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
