Inductive learning of answer set programs M Law, A Russo, K Broda European Conference on Logics in Artificial Intelligence, 311-325, 2014 | 137 | 2014 |
Fastlas: scalable inductive logic programming incorporating domain-specific optimisation criteria M Law, A Russo, E Bertino, K Broda, J Lobo Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2877-2885, 2020 | 59 | 2020 |
Iterative learning of answer set programs from context dependent examples M Law, A Russo, K Broda Theory and Practice of Logic Programming 16 (5-6), 834-848, 2016 | 58 | 2016 |
The ilasp system for inductive learning of answer set programs M Law, A Russo, K Broda arXiv preprint arXiv:2005.00904, 2020 | 52 | 2020 |
The complexity and generality of learning answer set programs M Law, A Russo, K Broda Artificial Intelligence 259, 110-146, 2018 | 51 | 2018 |
Inductive Learning of Answer Set Programs M Law Imperial College London, 2018 | 47 | 2018 |
Inductive Learning of Answer Set Programs from Noisy Examples M Law, A Russo, K Broda arXiv preprint arXiv:1808.08441, 2018 | 44 | 2018 |
Learning weak constraints in answer set programming M Law, A Russo, K Broda Theory and Practice of Logic Programming 15 (4-5), 511-525, 2015 | 43 | 2015 |
Polisma-a framework for learning attribute-based access control policies AA Jabal, E Bertino, J Lobo, M Law, A Russo, S Calo, D Verma European Symposium on Research in Computer Security, 523-544, 2020 | 39 | 2020 |
Privacy dynamics: Learning privacy norms for social software G Calikli, M Law, AK Bandara, A Russo, L Dickens, BA Price, A Stuart, ... Proceedings of the 11th International Symposium on Software Engineering for …, 2016 | 38 | 2016 |
The ILASP system for learning Answer Set Programs M Law, A Russo, K Broda http://www.ilasp.com/, 2015 | 38 | 2015 |
Induction and exploitation of subgoal automata for reinforcement learning D Furelos-Blanco, M Law, A Jonsson, K Broda, A Russo Journal of Artificial Intelligence Research 70, 1031-1116, 2021 | 35 | 2021 |
Induction of subgoal automata for reinforcement learning D Furelos-Blanco, M Law, A Russo, K Broda, A Jonsson Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3890-3897, 2020 | 35 | 2020 |
Inductive general game playing A Cropper, R Evans, M Law Machine Learning 109, 1393-1434, 2020 | 30 | 2020 |
Representing and learning grammars in answer set programming M Law, A Russo, E Bertino, K Broda, J Lobo Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2919-2928, 2019 | 28 | 2019 |
Logic-based learning of answer set programs M Law, A Russo, K Broda Reasoning Web. Explainable Artificial Intelligence: 15th International …, 2019 | 18 | 2019 |
AGENP: An ASGrammar-based GENerative Policy Framework S Calo, I Manotas, D Verma, E Bertino, M Law, A Russo | 16 | 2018 |
Scalable Non-observational Predicate Learning in ASP. M Law, A Russo, K Broda, E Bertino IJCAI, 1936-1943, 2021 | 14 | 2021 |
Conflict-driven inductive logic programming M Law Theory and Practice of Logic Programming, 1-28, 2021 | 14 | 2021 |
A Generative Policy Model for Connected and Autonomous Vehicles D Cunnington, I Manotas, M Law, G de Mel, S Calo, E Bertino, A Russo 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1558-1565, 2019 | 13 | 2019 |