Les résultats scientifiques
79 documents
- Evgenii Chzhen, Mohamed Hebiri, Gayane Taturyan. Regression under demographic parity constraints via unlabeled post-processing. NeurIPS 2024, Dec 2024, Vancouver, Canada. ⟨hal-04654182v2⟩
- Juliette Mattioli, Dominique Tachet, Fabien Tschirhart, Henri Sohier, Loic Cantat, et al.. ML System engineering supported by a body of knowledge. 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KMIS), Nov 2024, Porto (Portugal), France. ⟨hal-04725316⟩
- Sabrina Chaouche, Yoann Randon, Faouzi Adjed, Nadira Boudjani, Mohamed Ibn Khedher. DQM: Data Quality Metrics for AI components in the industry. AI Trustworthiness and Risk Assessment for Challenged Contexts workshop (ATRACC). AAAI Fall symposium, Nov 2024, Arlington, United States. ⟨hal-04719346⟩
- Juliette Mattioli, Martin Gonzalez, Lucas Mattioli, Karla Quintero, Henri Sohier. Leveraging Tropical Algebra to Assess Trustworthy AI. AI Trustworthiness and Risk Assessment for Challenged Contexts workshop (ATRACC). AAAI Fall Symposium, Nov 2024, Arlington, United States. ⟨hal-04726695⟩
- Mohammed Lansari, Lucas Mattioli, Boussad Addad, Paul-Marie Raffi, Katarzyna Kapusta, et al.. A Black-Box Watermarking Modulation for Object Detection Models. AI Trustworthiness and Risk Assessment for Challenged Contexts workshop (ATRACC). AAAI 2024 Fall Symposium, Nov 2024, Arlington, United States. ⟨hal-04726701⟩
- Afef Awadid, Kevin Mantissa, Xavier Leroux, Boris Robert. A Methodological Framework for Supporting the Operational Analysis of ML-Based Systems. 31st International Conference on Systems Engineering (ICSEng), Oct 2024, Warsaw (Poland), Poland. ⟨hal-04682052⟩
- Afef Awadid, Boris Robert, Dominique Tachet, Check Koutame, Juliette Mattioli. Towards Engineering Processes to Guide the Development of Trustworthy ML Systems. The IEEE International Symposium on Systems Engineering (ISSE 2024), Oct 2024, Perugia, Italy. ⟨hal-04682750⟩
- Kévin Pasini, Marc Nabhan, Clément Arlotti, M Leyli-Abadi, Johanna Baro. Evaluation methodology for disentangled uncertainty quantification on regression models. 32th European Symposium on Artificial Neural Networks (ESANN), Oct 2024, Bruges, Belgium. ⟨hal-04667732⟩
- Jérémie Bottieau, Gilles Audemard, Steve Bellart, J-M. Lagniez, P. Marquis, et al.. Logic-based explanations of imbalance price forecasts using boosted trees. Electric Power Systems Research, 2024, 235, pp.110699. ⟨10.1016/j.epsr.2024.110699⟩. ⟨hal-04655469⟩
- Afef Awadid, Boris Robert. On assessing Ml model robustness: A methodological framework. Symposium on Scaling AI Assessments Tools, Ecosystems and Business Models (SAIA), Sep 2024, Cologne, Germany. ⟨hal-04682746⟩
Documents récupérés de l'archive ouverte HAL 
