Nicolas J.-B. Brunel
Orcid: 0000-0002-2840-8484
According to our database1,
Nicolas J.-B. Brunel
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees.
CoRR, 2024
Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024
2023
From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer.
Comput. Methods Programs Biomed., October, 2023
Entropy, March, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
2022
Rethinking Counterfactual Explanations as Local and Regional Counterfactual Policies.
CoRR, 2022
CoRR, 2022
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Analysis of variability in sign language hand trajectories: development of generative model.
Proceedings of the MOCO '22: 8th International Conference on Movement and Computing, Chicago, IL, USA, June 22, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models.
CoRR, 2021
Accurate and robust Shapley Values for explaining predictions and focusing on local important variables.
CoRR, 2021
2019
Proceedings of the Geometric Science of Information - 4th International Conference, 2019