| 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 | 72* | 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 | 65 | 2022 |
| Integrating learning and reasoning with deep logic models G Marra, F Giannini, M Diligenti, M Gori Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 63 | 2019 |
| Lyrics: A general interface layer to integrate logic inference and deep learning G Marra, F Giannini, M Diligenti, M Gori Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 60* | 2019 |
| Logic explained networks G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci Artificial Intelligence 314, 103822, 2023 | 55 | 2023 |
| Relational neural machines M Marra, Giuseppe and Diligenti, Michelangelo and Giannini, Francesco and ... ECAI 2020, 1340-1347, 2020 | 53* | 2020 |
| Human-Driven FOL Explanations of Deep Learning. G Ciravegna, F Giannini, M Gori, M Maggini, S Melacci IJCAI, 2234-2240, 2020 | 37 | 2020 |
| On a convex logic fragment for learning and reasoning F Giannini, M Diligenti, M Gori, M Maggini IEEE Transactions on Fuzzy Systems 27 (7), 1407-1416, 2018 | 26 | 2018 |
| 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 | 19 | 2020 |
| T-norms Driven Loss Functions for Machine Learning F Giannini, M Diligenti, M Maggini, M Gori, G Marra Applied Intelligence, 2023 | 14* | 2023 |
| Constraint-based visual generation G Marra, F Giannini, M Diligenti, M Gori Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019 | 14 | 2019 |
| Interpretable Neural-Symbolic Concept Reasoning P Barbiero, G Ciravegna, F Giannini, ME Zarlenga, LC Magister, A Tonda, ... International Conference on Machine Learning, ICML 2023, 23-29 July 2023 …, 2023 | 13* | 2023 |
| Neural networks for beginners. A fast implementation in matlab, torch, tensorflow F Giannini, V Laveglia, A Rossi, D Zanca, A Zugarini arXiv preprint arXiv:1703.05298, 2017 | 10* | 2017 |
| Extending Logic Explained Networks to Text Classification R Jain, G Ciravegna, P Barbiero, F Giannini, D Buffelli, P Lio Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 8 | 2022 |
| Pytorch, explain! a python library for logic explained networks P Barbiero, G Ciravegna, D Georgiev, F Giannini arXiv preprint arXiv:2105.11697, 2021 | 8* | 2021 |
| On the relation between loss functions and t-norms F Giannini, G Marra, M Diligenti, M Maggini, M Gori Inductive Logic Programming: 29th International Conference, ILP 2019 …, 2020 | 7 | 2020 |
| Learning Łukasiewicz logic fragments by quadratic programming F Giannini, M Diligenti, M Gori, M Maggini Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 5 | 2017 |
| Relational Reasoning Networks G Marra, M Diligenti, F Giannini arXiv preprint arXiv:2106.00393, 2021 | 4* | 2021 |
| Categorical Foundation of Explainable AI P Barbiero, S Fioravanti, F Giannini, A Tonda, P Lio, E Di Lavore arXiv preprint arXiv:2304.14094, 2023 | 3 | 2023 |
| A constraint-based approach to learning and reasoning D Michelangelo Diligenti, D Francesco Giannini, D Marco Gori, ... Neuro-symbolic artificial intelligence: the state of the art 342, 192, 2022 | 3 | 2022 |
Marco GoriProfessor of Computer Science, University of SienaEmail verificata su dii.unisi.it
