Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

5 June 2018

Papers citing "Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare"

7 / 7 papers shown

Title
Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models Mohammadreza Rezaei Reza Saadati Fard Ebrahim Pourjafari Navid Ziaei Amir Sameizadeh M. Shafiee M. Alavinia M. Abolghasemian Nick Sajadi 33 1 0 27 Oct 2022
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 24 61 0 01 Dec 2021
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Chacha Chen Junjie Liang Fenglong Ma Lucas Glass Jimeng Sun Cao Xiao 19 26 0 22 Oct 2020
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 32 857 0 22 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 243 1,900 0 06 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015