Les résultats scientifiques
52 documents
- Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi. Carpet-bombing patch: attacking a deep network without usual requirements. 2023. ⟨hal-04264001⟩
- Baudouin Naline, Sandra Garcia-Rodriguez, Karine Zeitouni. STREAMER 3.0: Towards Online Monitoring and Distributed Learning. CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, Oct 2023, Birmingham, United Kingdom. pp.5076-5080, ⟨10.1145/3583780.3614755⟩. ⟨hal-04263995⟩
- Juliette Mattioli, Xavier Le Roux, Bertrand Braunschweig, Loic Cantat, Fabien Tschirhart, et al.. AI engineering to deploy reliable AI in industry. AI4I, Sep 2023, Laguna Hill, CA, United States. ⟨hal-04224211⟩
- Adrien Le Coz, Stéphane Herbin, Faouzi Adjed. Explaining an image classifier with a generative model conditioned by uncertainty. Uncertainty meets Explainability | Workshop and Tutorial @ ECML-PKDD 2023, Sep 2023, Torino, Italy. ⟨hal-04194943⟩
- Abdelmouaiz Tebjou, Goran Frehse, Faïcel Chamroukhi. Data-driven Reachability using Christoffel Functions and Conformal Prediction. The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023), Sep 2023, Limassol, Cyprus. ⟨hal-04095745⟩
- Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski. Deriving Explanations for Decision Trees: The Impact of Domain Theories. 2023. ⟨hal-04176274⟩
- Antonin Poché, Lucas Hervier, Mohamed-Chafik Bakkay. Natural Example-Based Explainability: a Survey. World Conference on eXplainable Artificial Intelligence, Jul 2023, Lisbon, Portugal. ⟨hal-04117520v2⟩
- Juliette Mattioli, Bertrand Braunschweig. AITA: AI trustworthiness assessment. AI magazine, 2023, 1-2, ⟨10.1002/aaai.12096⟩. ⟨hal-04129465⟩
- Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi. Bayesian optimization for NAS with pretrained deep ensembles. International Conference in Optimization and Learning (OLA), May 2023, Malaga, Spain. ⟨hal-04076075⟩
- Juliette Mattioli, Henri Sohier, Agnès Delaborde, Kahina Amokrane, Afef Awadid, et al.. An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering. Workshop AITA AI Trustworthiness Assessment - AAAI Spring Symposium, Mar 2023, Palo Alto (Californie), United States. ⟨hal-04264027⟩
Documents récupérés de l'archive ouverte HAL 
