Tony Ribeiro

According to our database, Tony Ribeiro authored at least 29 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Symbolic AI (LFIT) for XAI to handle biases.

Javier Tello, Marina de la Cruz, Tony Ribeiro, Julian Fiérrez, Aythami Morales, Ruben Tolosana, César Luis Alonso, Alfonso Ortega

Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

2022

Learning any memory-less discrete semantics for dynamical systems represented by logic programs.

Tony Ribeiro, Maxime Folschette, Morgan Magnin, Katsumi Inoue

Mach. Learn., 2022

Diagnosis of Event Sequences with LFIT.

Tony Ribeiro, Maxime Folschette, Morgan Magnin, Kotaro Okazaki, Lo Kuo-Yen, Katsumi Inoue

Proceedings of the Inductive Logic Programming - 31st International Conference, 2022

2021

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning.

Alfonso Ortega, Julian Fiérrez, Aythami Morales, Zilong Wang, Marina de la Cruz, César Luis Alonso, Tony Ribeiro

Comput., 2021

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment.

Alfonso Ortega, Julian Fiérrez, Aythami Morales, Zilong Wang, Tony Ribeiro

Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

2020

Static Analysis and Stochastic Search for Reachability Problem.

Xinwei Chai, Tony Ribeiro, Morgan Magnin, Olivier F. Roux, Katsumi Inoue

Proceedings of SASB 2018, the Ninth International Workshop on Static Analysis and Systems Biology, Freiburg, Germany, 2020

2019

Learning Inference Rules from Data.

Chiaki Sakama, Katsumi Inoue, Tony Ribeiro

Künstliche Intell., 2019

Learning Representation of Relational Dynamics with Delays and Refining with Prior Knowledge.

Yin Jun Phua, Tony Ribeiro, Katsumi Inoue

FLAP, 2019

2018

Learning Dynamics with Synchronous, Asynchronous and General Semantics.

Tony Ribeiro, Maxime Folschette, Morgan Magnin, Olivier F. Roux, Katsumi Inoue

Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

2017

Relational Reinforcement Learning for Planning with Exogenous Effects.

David Martínez Martínez, Guillem Alenyà, Tony Ribeiro, Katsumi Inoue, Carme Torras

J. Mach. Learn. Res., 2017

Modeling Delayed Dynamics in Biological Regulatory Networks from Time Series Data.

Emna Ben Abdallah, Tony Ribeiro, Morgan Magnin, Olivier H. Roux, Katsumi Inoue

Algorithms, 2017

Inductive Learning from State Transitions over Continuous Domains.

Tony Ribeiro, Sophie Tourret, Maxime Folschette, Morgan Magnin, Domenico Borzacchiello, Francisco Chinesta, Olivier F. Roux, Katsumi Inoue

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Learning Logic Program Representation for Delayed Systems With Limited Training Data.

Yin Jun Phua, Tony Ribeiro, Sophie Tourret, Katsumi Inoue

Proceedings of the Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, 2017

2016

Mission Oriented Robust Multi-Team Formation and Its Application to Robot Rescue Simulation.

Tenda Okimoto, Tony Ribeiro, Damien Bouchabou, Katsumi Inoue

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inference of Delayed Biological Regulatory Networks from Time Series Data.

Emna Ben Abdallah, Tony Ribeiro, Morgan Magnin, Olivier F. Roux, Katsumi Inoue

Proceedings of the Computational Methods in Systems Biology, 2016

Learning Relational Dynamics of Stochastic Domains for Planning.

David Martínez, Guillem Alenyà, Carme Torras, Tony Ribeiro, Katsumi Inoue

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015

Studies on Learning Dynamics of Systems from State Transitions.

Tony Ribeiro

PhD thesis, 2015

Learning Inference by Induction.

Chiaki Sakama, Tony Ribeiro, Katsumi Inoue

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Learning Multi-valued Biological Models with Delayed Influence from Time-Series Observations.

Tony Ribeiro, Morgan Magnin, Katsumi Inoue, Chiaki Sakama

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Learning Probabilistic Action Models from Interpretation Transitions.

David Martínez, Tony Ribeiro, Katsumi Inoue, Guillem Alenyà, Carme Torras

Proceedings of the Technical Communications of the 31st International Conference on Logic Programming (ICLP 2015), Cork, Ireland, August 31, 2015

How to Form a Task-Oriented Robust Team.

Tenda Okimoto, Nicolas Schwind, Maxime Clement, Tony Ribeiro, Katsumi Inoue, Pierre Marquis

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Learning from interpretation transition.

Katsumi Inoue, Tony Ribeiro, Chiaki Sakama

Mach. Learn., 2014

Learning Prime Implicant Conditions from Interpretation Transition.

Tony Ribeiro, Katsumi Inoue

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Modeling and Algorithm for Dynamic Multi-objective Weighted Constraint Satisfaction Problem.

Tenda Okimoto, Tony Ribeiro, Maxime Clement, Katsumi Inoue

Proceedings of the ICAART 2014, 2014

2013

Combining Answer Set Programs for Adaptive and Reactive Reasoning.

Tony Ribeiro, Katsumi Inoue, Gauvain Bourgne

Theory Pract. Log. Program., 2013

Model and Algorithm for Dynamic Multi-Objective Distributed Optimization.

Maxime Clement, Tenda Okimoto, Tony Ribeiro, Katsumi Inoue

Proceedings of the PRIMA 2013: Principles and Practice of Multi-Agent Systems, 2013

A BDD-Based Algorithm for Learning from Interpretation Transition.

Tony Ribeiro, Katsumi Inoue, Chiaki Sakama

Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013

Cyber security problem based on Multi-Objective Distributed Constraint Optimization technique.

Tenda Okimoto, Naoto Ikegai, Katsumi Inoue, Hitoshi Okada, Tony Ribeiro, Hiroshi Maruyama

Proceedings of the 43rd Annual IEEE/IFIP Conference on Dependable Systems and Networks Workshop, 2013

Systems resilience: a challenge problem for dynamic constraint-based agent systems.

Nicolas Schwind, Tenda Okimoto, Katsumi Inoue, Hei Chan, Tony Ribeiro, Kazuhiro Minami, Hiroshi Maruyama

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013