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Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks.

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Model-agnostic variable importance for predictive uncertainty: an entropy-based approach., , , and . CoRR, (2023)ICML 2023 Topological Deep Learning Challenge: Design and Results., , , , , , , , , and 52 other author(s). TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 3-8. PMLR, (2023)Gender Differences in Equity Crowdfunding., and . HCOMP, page 51-60. AAAI Press, (2017)TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning., , , , , , , , , and . CoRR, (2024)Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks., , , , , , , , , and 1 other author(s). CoRR, (2020)Adapting Random Forests to Predict Obesity-Associated Gene Expression., , , , , , and . EMBC, page 4407-4410. IEEE, (2022)Position: Topological Deep Learning is the New Frontier for Relational Learning., , , , , , , , , and 12 other author(s). ICML, OpenReview.net, (2024)The silicon trypanosome: a test case of iterative model extension in systems biology., , , , , , , , , and 5 other author(s). Advances in microbial physiology, (2014)Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1252-1260. PMLR, (2018)Approximate blocked Gibbs sampling for Bayesian neural networks.. Stat. Comput., 33 (5): 119 (October 2023)