Joshua C. Chang - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment BatteryJoshua C. Chang, Carson C. Chow, Julia Porcino. aistats 2023: 3961-3976 [doi]

Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissionsHongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow. mlhc 2023: 884-905 [doi]

2021

Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorizationJoshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow. iclr 2021: [doi]

2020

A mathematical model for persistent post-CSD vasoconstrictionShixin Xu, Joshua C. Chang, Carson C. Chow, K. C. Brennan, Huaxiong Huang. ploscb, 16(7), 2020. [doi]

2014

Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape PriorJoshua C. Chang, Tom Chou. jmiv, 49(1):87-97, 2014. [doi]

2012

Cortical Spreading Depression: A Mathematical Model and Associated Inverse ProblemsJoshua C. Chang. PhD thesis, University of California, Los Angeles, USA, 2012. [doi]

Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape PriorsJoshua C. Chang, K. C. Brennan, Tom Chou. tmi, 31(5):1008-1020, 2012. [doi]

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