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Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions.

H. Xia, J. Chang, S. Nowak, S. Mahajan, R. Mahajan, T. Chang, and C. Chow. MLHC, volume 219 of Proceedings of Machine Learning Research, page 884-905. PMLR, (2023)

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Sheng-Chia Chang

William Ockham's view on human capabilityS. Chang. Uni Frankfurt Main, (2009)

Ching-Ming Chang

Shu-Tsu Chang

Yuen Dschü Chang

Liang-Zung Chang

Other publications of authors with the same name

Cortical Spreading Depression: A Mathematical Model and Associated Inverse Problems.J. Chang. University of California, Los Angeles, USA, (2012)base-search.net (ftcdlib:qt6pm9s1hb).Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death.J. Chang, T. Chang, C. Chow, R. Mahajan, S. Mahajan, S. Vattikuti, and H. Xia. CoRR, (2022)Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions.H. Xia, J. Chang, S. Nowak, S. Mahajan, R. Mahajan, T. Chang, and C. Chow. MLHC, volume 219 of Proceedings of Machine Learning Research, page 884-905. PMLR, (2023)Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models.J. Chang, S. Vattikuti, and C. Chow. CoRR, (2019)A path-integral approach to Bayesian inference for inverse problems using the semiclassical approximationJ. Chang, V. Savage, and T. Chou. Journal of Statistical Physics, 157 (3): 582--602 (Jul 22, 2014)Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors.J. Chang, K. Brennan, and T. Chou. IEEE Trans. Med. Imaging, 31 (5): 1008-1020 (2012)Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior.J. Chang, and T. Chou. Journal of Mathematical Imaging and Vision, 49 (1): 87-97 (2014)Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery.J. Chang, C. Chow, and J. Porcino. AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3961-3976. PMLR, (2023)Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization.J. Chang, P. Fletcher, J. Han, T. Chang, S. Vattikuti, B. Desmet, A. Zirikly, and C. Chow. ICLR, OpenReview.net, (2021)Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization.J. Chang, P. Fletcher, J. Han, T. Chang, S. Vattikuti, B. Desmet, A. Zirikly, and C. Chow. CoRR, (2020)

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Disambiguation of "Chang, Joshua C."