Learning from interpretation transition K Inoue, T Ribeiro, C Sakama Machine Learning 94, 51-79, 2014 | 106 | 2014 |
Learning prime implicant conditions from interpretation transition T Ribeiro, K Inoue Inductive Logic Programming: 24th International Conference, ILP 2014, Nancy …, 2015 | 36 | 2015 |
Learning relational dynamics of stochastic domains for planning D Martínez, G Alenya, C Torras, T Ribeiro, K Inoue Proceedings of the International Conference on Automated Planning and …, 2016 | 35 | 2016 |
Relational reinforcement learning for planning with exogenous effects D Mart, G Aleny, T Ribeiro, K Inoue, C Torras Journal of Machine Learning Research 18 (78), 1-44, 2017 | 33 | 2017 |
Systems resilience: a challenge problem for dynamic constraint-based agent systems N Schwind, T Okimoto, K Inoue, H Chan, T Ribeiro, K Minami, ... Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 31 | 2013 |
Mission oriented robust multi-team formation and its application to robot rescue simulation T Okimoto, T Ribeiro, D Bouchabou, K Inoue Twenty-fifth international joint conference on artificial intelligence …, 2016 | 26 | 2016 |
Learning delayed influences of biological systems T Ribeiro, M Magnin, K Inoue, C Sakama Frontiers in bioengineering and biotechnology 2, 81, 2015 | 26 | 2015 |
Learning probabilistic action models from interpretation transitions D Martínez Martínez, T Ribeiro, K Inoue, G Alenyà Ribas, C Torras Proceedings of the technical communications of the 31st international …, 2015 | 26 | 2015 |
Symbolic AI for XAI: Evaluating LFIT inductive programming for fair and explainable automatic recruitment A Ortega, J Fierrez, A Morales, Z Wang, T Ribeiro Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 23 | 2021 |
Learning dynamics with synchronous, asynchronous and general semantics T Ribeiro, M Folschette, M Magnin, O Roux, K Inoue Inductive Logic Programming: 28th International Conference, ILP 2018 …, 2018 | 21 | 2018 |
Learning multi-valued biological models with delayed influence from time-series observations T Ribeiro, M Magnin, K Inoue, C Sakama 2015 IEEE 14th international conference on machine learning and applications …, 2015 | 21 | 2015 |
Inductive learning from state transitions over continuous domains T Ribeiro, S Tourret, M Folschette, M Magnin, D Borzacchiello, F Chinesta, ... Inductive Logic Programming: 27th International Conference, ILP 2017 …, 2018 | 17 | 2018 |
Cyber security problem based on multi-objective distributed constraint optimization technique T Okimoto, N Ikegai, K Inoue, H Okada, T Ribeiro, H Maruyama 2013 43rd Annual IEEE/IFIP Conference on Dependable Systems and Networks …, 2013 | 15 | 2013 |
Learning any memory-less discrete semantics for dynamical systems represented by logic programs T Ribeiro, M Folschette, M Magnin, K Inoue Machine Learning, 1-78, 2022 | 14 | 2022 |
Static analysis and stochastic search for reachability problem X Chai, T Ribeiro, M Magnin, O Roux, K Inoue Electronic Notes in Theoretical Computer Science 350, 139-158, 2020 | 10 | 2020 |
ASP for construction and validation of regulatory biological networks A Rocca, N Mobilia, E Fanchon, T Ribeiro, L Trilling, K Inoue Logical Modeling of Biological Systems, 167-206, 2014 | 10 | 2014 |
Model and algorithm for dynamic multi-objective distributed optimization M Clement, T Okimoto, T Ribeiro, K Inoue PRIMA 2013: Principles and Practice of Multi-Agent Systems: 16th …, 2013 | 10 | 2013 |
Symbolic AI for XAI: Evaluating LFIT inductive programming for explaining biases in machine learning A Ortega, J Fierrez, A Morales, Z Wang, M de La Cruz, CL Alonso, ... Computers 10 (11), 154, 2021 | 9 | 2021 |
Inference of delayed biological regulatory networks from time series data E Ben Abdallah, T Ribeiro, M Magnin, O Roux, K Inoue Computational Methods in Systems Biology: 14th International Conference …, 2016 | 7 | 2016 |
Modeling and algorithm for dynamic multi-objective weighted constraint satisfaction problem T Okimoto, T Ribeiro, M Clement, K Inoue International Conference on Agents and Artificial Intelligence 2, 420-427, 2014 | 7 | 2014 |