| Inductive logic programming at 30: a new introduction A Cropper, S Dumančić Journal of Artificial Intelligence Research 74, 765-850, 2022 | 195 | 2022 |
| Learning programs by learning from failures A Cropper, R Morel Machine Learning 110 (4), 801-856, 2021 | 158 | 2021 |
| Inductive logic programming at 30 A Cropper, S Dumančić, R Evans, SH Muggleton Machine Learning 111 (1), 147-172, 2022 | 131 | 2022 |
| Turning 30: New ideas in inductive logic programming A Cropper, S Dumančić, SH Muggleton arXiv preprint arXiv:2002.11002, 2020 | 125 | 2020 |
| Metagol System A Cropper, S Muggleton https://github.com/metagol/metagol, 2016 | 79 | 2016 |
| Learning higher-order logic programs through abstraction and invention A Cropper, SH Muggleton Association for the Advancement of Artificial Intelligence, 2016 | 72 | 2016 |
| Logical minimisation of meta-rules within meta-interpretive learning A Cropper, SH Muggleton Inductive Logic Programming, 62-75, 2015 | 70 | 2015 |
| Learning Efficient Logic Programs A Cropper, S Muggleton Machine Learning, 2019 | 54 | 2019 |
| Learning higher-order logic programs A Cropper, R Morel, S Muggleton Machine Learning 109 (7), 1289-1322, 2020 | 52 | 2020 |
| Learning Efficient Logical Robot Strategies Involving Composable Objects A Cropper, SH Muggleton IJCAI 2015, 2015 | 51 | 2015 |
| Playgol: learning programs through play A Cropper IJCAI 2019, 2019 | 48 | 2019 |
| Logical reduction of metarules A Cropper, S Tourret Machine Learning, 1-47, 2019 | 43 | 2019 |
| Inductive general game playing A Cropper, R Evans, M Law Machine Learning 109 (7), 1393-1434, 2020 | 42 | 2020 |
| Meta-interpretive learning of data transformation programs A Cropper, A Tamaddoni-Nezhad, SH Muggleton ILP 2015, 46-59, 2015 | 40 | 2015 |
| Learning large logic programs by going beyond entailment A Cropper, S Dumančić IJCAI 2020, 2020 | 34 | 2020 |
| Forgetting to learn logic programs A Cropper Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3676-3683, 2020 | 30 | 2020 |
| Symbolic metaprogram search improves learning efficiency and explains rule learning in humans JS Rule, ST Piantadosi, A Cropper, K Ellis, M Nye, JB Tenenbaum Nature Communications 15 (1), 6847, 2024 | 29 | 2024 |
| Efficiently learning efficient programs A Cropper Imperial College London, 2017 | 25 | 2017 |
| Knowledge refactoring for inductive program synthesis S Dumancic, T Guns, A Cropper Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7271-7278, 2021 | 24* | 2021 |
| Derivation reduction of metarules in meta-interpretive learning A Cropper, S Tourret International Conference on Inductive Logic Programming, 1-21, 2018 | 22 | 2018 |
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
