A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference

18 December 2016

Papers citing "A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference"

7 / 7 papers shown

Title
Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett Jinsung Yoon Ioana Bica Zhaozhi Qian A. Ercole M. Schaar AI4TS 29 35 0 28 Oct 2023
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine Evgeny S. Saveliev M. Schaar 29 4 0 28 Jan 2023
Bayesian inference for continuous-time hidden Markov models with an unknown number of states Yu Luo D. Stephens 18 9 0 20 Jun 2021
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa M. Schaar UQCV BDL 11 22 0 20 Jun 2020
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data Samuel J. Weisenthal C. Quill S. Farooq Henry A. Kautz M. Zand OOD 12 14 0 25 Jul 2018
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition Ahmed Alaa M. Schaar 42 12 0 24 Oct 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016