| Learning Query Inseparable εℒℋ Ontologies A Ozaki, C Persia, A Mazzullo Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2959-2966, 2020 | 9 | 2020 |
| Incremental predictive process monitoring: How to deal with the variability of real environments C Di Francescomarino, C Ghidini, FM Maggi, W Rizzi, CD Persia arXiv preprint arXiv:1804.03967, 2018 | 7 | 2018 |
| Extracting rules from neural networks with partial interpretations C Persia, A Ozaki arXiv preprint arXiv:2204.00360, 2022 | 6 | 2022 |
| Mining ℰℒ⊥ Bases with Adaptable Role Depth R Guimarães, A Ozaki, C Persia, B Sertkaya Journal of Artificial Intelligence Research 76, 883-924, 2023 | 5 | 2023 |
| Verifying Properties of Tsetlin Machines E Przybysz, B Bhattarai, C Persia, A Ozaki, OC Granmo, J Sharma arXiv preprint arXiv:2303.14464, 2023 | 2 | 2023 |
| On the learnability of possibilistic theories C Persia, A Ozaki arXiv preprint arXiv:2005.03157, 2020 | 2 | 2020 |
| RIDDLE: Rule induction with deep learning C Persia, R Guimarães Proceedings of the Northern Lights Deep Learning Workshop 4, 2023 | 1 | 2023 |
| Learning Query Inseparable ELH Ontologies A Ozaki, C Persia, A Mazzullo arXiv preprint arXiv:1911.07229, 2019 | 1 | 2019 |
| Learning Possibilistic Logic Theories CD Persia The University of Bergen, 2023 | | 2023 |
| Mining EL R Guimarães, A Ozaki, C Persia, B Sertkaya | | 2021 |
| Mining ELK Bases with Adaptable Role Depth R Guimarães, A Ozaki, C Persia, B Sertkaya Technical report. https://www. dropbox. com/s/y2h327yxkjtdjw5/GOPS2020_full. pdf, 2020 | | 2020 |
