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2020 – today
- 2023
[c20]Javier Tello, Marina de la Cruz, Tony Ribeiro, Julian Fiérrez, Aythami Morales, Ruben Tolosana, César Luis Alonso, Alfonso Ortega:
Symbolic AI (LFIT) for XAI to handle biases. AEQUITAS@ECAI 2023- 2022
- [j8]Tony Ribeiro
, Maxime Folschette, Morgan Magnin, Katsumi Inoue:
Learning any memory-less discrete semantics for dynamical systems represented by logic programs. Mach. Learn. 111(10): 3593-3670 (2022) - [c19]Tony Ribeiro, Maxime Folschette, Morgan Magnin, Kotaro Okazaki, Lo Kuo-Yen, Katsumi Inoue:
Diagnosis of Event Sequences with LFIT. ILP 2022: 117-126 - 2021
- [j7]Alfonso Ortega, Julian Fiérrez, Aythami Morales, Zilong Wang, Marina de la Cruz, César Luis Alonso, Tony Ribeiro:
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning. Comput. 10(11): 154 (2021) - [c18]Alfonso Ortega, Julian Fiérrez, Aythami Morales, Zilong Wang, Tony Ribeiro:
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment. WACV (Workshops) 2021: 78-87 - 2020
- [c17]Xinwei Chai, Tony Ribeiro, Morgan Magnin, Olivier F. Roux, Katsumi Inoue:
Static Analysis and Stochastic Search for Reachability Problem. SASB 2020: 139-158 - [i1]Alfonso Ortega, Julian Fiérrez, Aythami Morales, Zilong Wang, Tony Ribeiro:
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment. CoRR abs/2012.00360 (2020)
2010 – 2019
- 2019
- [j6]Yin Jun Phua, Tony Ribeiro, Katsumi Inoue:
Learning Representation of Relational Dynamics with Delays and Refining with Prior Knowledge. FLAP 6(4): 695-708 (2019) - [j5]Chiaki Sakama, Katsumi Inoue, Tony Ribeiro:
Learning Inference Rules from Data. Künstliche Intell. 33(3): 267-278 (2019) - 2018
- [c16]Tony Ribeiro, Maxime Folschette, Morgan Magnin, Olivier F. Roux, Katsumi Inoue:
Learning Dynamics with Synchronous, Asynchronous and General Semantics. ILP 2018: 118-140 - 2017
- [j4]Emna Ben Abdallah, Tony Ribeiro, Morgan Magnin, Olivier H. Roux, Katsumi Inoue:
Modeling Delayed Dynamics in Biological Regulatory Networks from Time Series Data. Algorithms 10(1): 8 (2017) - [j3]David Martínez Martínez, Guillem Alenyà, Tony Ribeiro, Katsumi Inoue, Carme Torras:
Relational Reinforcement Learning for Planning with Exogenous Effects. J. Mach. Learn. Res. 18: 78:1-78:44 (2017) - [c15]Yin Jun Phua, Tony Ribeiro, Sophie Tourret, Katsumi Inoue:
Learning Logic Program Representation for Delayed Systems With Limited Training Data. ILP (Late Breaking Papers) 2017: 27-37 - [c14]Tony Ribeiro, Sophie Tourret, Maxime Folschette, Morgan Magnin, Domenico Borzacchiello, Francisco Chinesta, Olivier F. Roux, Katsumi Inoue:
Inductive Learning from State Transitions over Continuous Domains. ILP 2017: 124-139 - 2016
- [c13]David Martínez, Guillem Alenyà, Carme Torras, Tony Ribeiro, Katsumi Inoue:
Learning Relational Dynamics of Stochastic Domains for Planning. ICAPS 2016: 235-243 - [c12]Emna Ben Abdallah, Tony Ribeiro, Morgan Magnin, Olivier F. Roux, Katsumi Inoue:
Inference of Delayed Biological Regulatory Networks from Time Series Data. CMSB 2016: 30-48 - [c11]Tenda Okimoto, Tony Ribeiro, Damien Bouchabou, Katsumi Inoue:
Mission Oriented Robust Multi-Team Formation and Its Application to Robot Rescue Simulation. IJCAI 2016: 454-460 - 2015
- [b1]Tony Ribeiro:
Studies on Learning Dynamics of Systems from State Transitions. Graduate University for Advanced Studies, Japan, 2015 - [c10]Tenda Okimoto, Nicolas Schwind, Maxime Clement, Tony Ribeiro, Katsumi Inoue, Pierre Marquis:
How to Form a Task-Oriented Robust Team. AAMAS 2015: 395-403 - [c9]David Martínez, Tony Ribeiro, Katsumi Inoue, Guillem Alenyà, Carme Torras:
Learning Probabilistic Action Models from Interpretation Transitions. ICLP (Technical Communications) 2015 - [c8]Tony Ribeiro, Morgan Magnin, Katsumi Inoue, Chiaki Sakama:
Learning Multi-valued Biological Models with Delayed Influence from Time-Series Observations. ICMLA 2015: 25-31 - [c7]Chiaki Sakama, Tony Ribeiro, Katsumi Inoue:
Learning Inference by Induction. ILP 2015: 183-199 - 2014
- [j2]Katsumi Inoue, Tony Ribeiro, Chiaki Sakama:
Learning from interpretation transition. Mach. Learn. 94(1): 51-79 (2014) - [c6]Tenda Okimoto, Tony Ribeiro, Maxime Clement, Katsumi Inoue:
Modeling and Algorithm for Dynamic Multi-objective Weighted Constraint Satisfaction Problem. ICAART (1) 2014: 420-427 - [c5]Tony Ribeiro, Katsumi Inoue:
Learning Prime Implicant Conditions from Interpretation Transition. ILP 2014: 108-125 - 2013
- [j1]Tony Ribeiro, Katsumi Inoue, Gauvain Bourgne:
Combining Answer Set Programs for Adaptive and Reactive Reasoning. Theory Pract. Log. Program. 13(4-5-Online-Supplement) (2013) - [c4]Nicolas Schwind, Tenda Okimoto, Katsumi Inoue, Hei Chan, Tony Ribeiro, Kazuhiro Minami, Hiroshi Maruyama:
Systems resilience: a challenge problem for dynamic constraint-based agent systems. AAMAS 2013: 785-788 - [c3]Tenda Okimoto, Naoto Ikegai, Katsumi Inoue, Hitoshi Okada, Tony Ribeiro, Hiroshi Maruyama:
Cyber security problem based on Multi-Objective Distributed Constraint Optimization technique. DSN Workshops 2013: 1-7 - [c2]Tony Ribeiro, Katsumi Inoue, Chiaki Sakama:
A BDD-Based Algorithm for Learning from Interpretation Transition. ILP 2013: 47-63 - [c1]Maxime Clement, Tenda Okimoto, Tony Ribeiro, Katsumi Inoue:
Model and Algorithm for Dynamic Multi-Objective Distributed Optimization. PRIMA 2013: 413-420
Coauthor Index
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