Author

Tony Ribeiro

Observed names: RIBEIRO Tony, RIBEIRO, Tony, Ribeiro, T. (Tony), Ribeiro, Tony, Tony RIBEIRO

Institutions: École Centrale de Nantes, Centre National de la Recherche Scientifique, National Institute of Informatics, Laboratoire des Sciences du Numérique de Nantes, Institute of Science Tokyo, Université de Nantes, Nantes Université

Observed institutions: École Centrale de Nantes, Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier, National Institute of Informatics, The Graduate University for Advanced Studies, SOKENDAI, Université Nantes Angers Le Mans, Agence Nationale pour l'Emploi, Institut de Robòtica i Informàtica Industrial, Laboratoire des Sciences du Numérique de Nantes, Institute of Science Tokyo, Université de Nantes, Institut de recherche en communications et cybernétique de Nantes, Universidad Autónoma de Madrid, Nantes Université

ORCID: 0000-0002-1793-2854

Observed ORCID: 0000-0002-1793-2854

OpenAlex ID: A5105511743

Relational Reinforcement Learning for Planning with Exogenous Effects

2017 · David Martínez, David Martínez, et al. · DIGITAL.CSIC (Spanish National Research Council (CSIC)) · 93

Learning from interpretation transition

2013 · Katsumi Inoue, Tony Ribeiro, et al. · Machine Learning · 75

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How to Form a Task-Oriented Robust Team

2015 · Tenda Okimoto, Nicolas Schwind, et al. · Adaptive Agents and Multi-Agents Systems · 27

Learning Prime Implicant Conditions from Interpretation Transition

2015 · Tony Ribeiro, Katsumi Inoue · Lecture notes in computer science · 26

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

2021 · Ribeiro, Tony, Ortega, Alfonso, et al. · HAL · 22

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection

2018 · Slim Fourati, Aarthi Talla, et al. · Nature Communications · 20

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Learning Relational Dynamics of Stochastic Domains for Planning

2016 · David Martínez, Guillem Alenyà, et al. · Proceedings of the International Conference on Automated Planning and Scheduling · 20

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Learning Delayed Influences of Biological Systems

2015 · Tony Ribeiro, Morgan Magnin, et al. · Frontiers in Bioengineering and Biotechnology · 15

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

2021 · Tony Ribeiro, Maxime Folschette, et al. · Machine Learning · 14

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

2021 · Alfonso Ortega, Julian Fierrez, et al. · Computers · 13

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

2015 · Tony Ribeiro, Morgan Magnin, et al. · International Conference on Machine Learning and Applications · 13

Systems Resilience: A Challenge Problem for Dynamic Constraint-Based Agent Systems ∗

2013 · Nicolas Schwind, Hei Chan, et al. · 13

Learning Probabilistic Action Models from Interpretation Transitions

2015 · David Martínez, David Martínez, et al. · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · 12

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

2013 · Tenda Okimoto, Naoto Ikegai, et al. · International Conference on Dependable Systems and Networks workshops · 12

Inductive Learning from State Transitions over Continuous Domains

2018 · Tony Ribeiro, Sophie Tourret, et al. · Lecture notes in computer science · 11

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Learning Dynamics with Synchronous, Asynchronous and General Semantics

2018 · Tony Ribeiro, Maxime Folschette, et al. · Lecture notes in computer science · 11

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

2016 · Tenda Okimoto, Tenda Okimoto, et al. · HAL · 10

ASP for Construction and Validation of Regulatory Biological Networks

2014 · Alexandre Rocca, Nicolas Mobilia, et al. · 7

Static Analysis and Stochastic Search for Reachability Problem

2020 · Xinwei Chai, Tony Ribeiro, et al. · Electronic Notes in Theoretical Computer Science · 5

A BDD-Based Algorithm for Learning from Interpretation Transition

2014 · Tony Ribeiro, Katsumi Inoue, et al. · Lecture notes in computer science · 5

Model and Algorithm for Dynamic Multi-Objective Distributed Optimization

2013 · Maxime Clement, Tenda Okimoto, et al. · Lecture notes in computer science · 5

Learning any semantics for dynamical systems represented by logic programs

2020 · Ribeiro, Tony, Folschette, Maxime, et al. · HAL · 4

Modeling Delayed Dynamics in Biological Regulatory Networks from Time Series Data

2017 · Emna Ben Abdallah, Tony Ribeiro, et al. · Algorithms · 4

Studies on Learning Dynamics of Systems from State Transitions

2015 · Tony Ribeiro · SOKENDAI (Graduate University for Advanced Studies) · 4

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

2014 · Tenda Okimoto, Tony Ribeiro, et al. · International Conference on Agents and Artificial Intelligence (ICAART) · 4

Works count: 85

Citation count: 490

H-index: 12

I10-index: 19