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Balakrishnan, U., Rider, W.J., Barone, M.F., & Parish, E. (2024). Unraveling Sensitivity and Ensuring Reliability in Reynolds Stress Predictions for Data-Driven RANS [Conference Presentation]. 10.2172/2566682

Kirsch, J., Rider, W.J., & Fathi, N. (2024). CREDIBILITY ASSESSMENT OF MACHINE LEARNING-BASED SURROGATE MODEL PREDICTIONS ON NACA 0012 AIRFOIL FLOW [Conference Presentation]. Proceedings of 2024 Verification, Validation, and Uncertainty Quantification Symposium, VVUQ 2024. 10.2172/2565140

Neal, K.D., Foulk, J.W., Lance, B., Rider, W.J., Barone, M.F., & Balakrishnan, U. (2022). Data Credibility in Scientific Machine Learning [Conference Presentation]. 10.2172/2003318

Rushdi, A., Foulk, J.W., Huerta, J.G., Neal, K.D., Dytzel, I., & Rider, W.J. (2022). Quantifying Uncertainty in Machine Learning Models for Time Series Classification [Conference Presentation]. 10.2172/2002430

Kieweg, S., Ray, J., Weirs, V.G., Carnes, B.R., Dinzl, D.J., Freno, B.A., Howard, M., Phipps, E.T., Rider, W.J., & Smith, T.M. (2018). Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ Sensitivity Analysis and Validation Metrics [Conference Poster]. https://www.osti.gov/biblio/1592001

Kieweg, S., Ray, J., Weirs, G., Carnes, B.R., Dinzl, D.J., Freno, B.A., Howard, M., Phipps, E.T., Rider, W.J., Smith, T.M., Nompelis, I., & Candler, G. (2018). Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification Sensitivity Analysis and Validation Metrics [Conference Poster]. 10.2514/6.2019-2278

Results 1–25 of 108
Results 1–25 of 108