From post

Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification.

, , , и . IEEE Trans. Artif. Intell., 5 (3): 1162-1173 (марта 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Quantifying the Multi-Objective Cost of Uncertainty., , и . IEEE Access, (2021)Geometric Affinity Propagation for Clustering With Network Knowledge., , и . IEEE Trans. Knowl. Data Eng., 35 (11): 11419-11436 (ноября 2023)Joint clustering of protein interaction networks by block modeling., и . ICASSP, стр. 1616-1620. IEEE, (2014)A Scalable Algorithm for Structured Kernel Feature Selection., , , , и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Optimally adapted indexing trees for medical image databases., и . ISBI, стр. 321-324. IEEE, (2002)Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness., , , , , , и . ICASSP, стр. 3988-3992. IEEE, (2022)Image co-saliency detection via locally adaptive saliency map fusion., , и . ICASSP, стр. 1897-1901. IEEE, (2017)Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)., , и . BMC Bioinform., 18 (S-4): 1-3 (2017)Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data., , , , и . NeurIPS, стр. 9133-9142. (2018)Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data., , , , и . MLHC, том 182 из Proceedings of Machine Learning Research, стр. 101-122. PMLR, (2022)