Université Toulouse-I-Capitole

Are we preparing for a good AI society? A bibliometric review and research agenda

Samuel Fosso Wamba, Ransome Epie Bawack, Cameron Guthrie et al.

2020 · 232 Zit.

Prevalence of nonsensical algorithmically generated papers in the scientific literature

Guillaume Cabanac, Cyril Labbé

2021 · 78 Zit.

Are We Preparing for a Good AI Society? A Bibliometric Review and Research Agenda

Samuel Fosso Wamba, Ransome Epie Bawack, Cameron Guthrie et al.

2020 · 47 Zit.

Yes but.. Can ChatGPT Identify Entities in Historical Documents?

Carlos-Emiliano González-Gallardo, Emanuela Boroş, Nancy Girdhar et al.

2023 · 27 Zit.

ChatGPT in software modeling

Benoît Combemale, Jeff Gray, Bernhard Rumpe⋆

2023 · 14 Zit.

Artificial Intelligence XXXVII

Filipo Studzinski Perotto, Nicolas Verstaevel, Imen Trabelsi et al.

2020 · 12 Zit.

Real-Time Detection of Behavioral Anomalies of Older People Using Artificial Intelligence (The 3-PEGASE Study): Protocol for a Real-Life Prospective Trial

Antoine Piau, Benoît Lepage, Carole Bernon et al.

2019 · 11 Zit.

The State of Artificial Intelligence Research in the Context of National Security: Bibliometric Analysis and Research Agenda

Samuel Fosso Wamba, Ransome Epie Bawack, Kévin Carillo

2019 · 8 Zit.

Doctors in Medical Data Sciences: A New Curriculum

Sylvain Cussat‐Blanc, Céline Castets-Renard, Paul Monsarrat

2022 · 7 Zit.

Decontamination of the scientific literature

Guillaume Cabanac

2022 · 6 Zit.

Falling out with AI-buddies: The hidden costs of treating AI as a partner versus servant during service failure

Bo Huang, Sandra Laporte, Sylvain Sénécal et al.

2025 · 5 Zit.

Proceedings of the 13th European Conference on Artificial Intelligence (ECAI 1998), Brighton, UK

Henri Prade

1998 · 4 Zit.

Algorithmic audits of algorithms, and the law

Erwan Le Merrer, Ronan Pons, Gilles Trédan

2023 · 4 Zit.

Discernibility in explanations: Designing more acceptable and meaningful machine learning models for medicine

Haomiao Wang, Julien Aligon, Julien May et al.

2025 · 2 Zit.

A single-graph visualization to reveal hidden explainability patterns of SHAP feature interactions in machine learning for biomedical issues

Félix Furger, Miguel Thomas, Julien Aligon et al.

2025 · 2 Zit.