ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.05843
  4. Cited By
TASTE: Temporal and Static Tensor Factorization for Phenotyping
  Electronic Health Records

TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records

13 November 2019
Ardavan Afshar
Ioakeim Perros
Haesun Park
C. Defilippi
Xiaowei Yan
Walter F. Stewart
Joyce C. Ho
Jimeng Sun
ArXiv (abs)PDFHTML

Papers citing "TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records"

13 / 13 papers shown
Title
PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints
PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints
Carla Schenker
Xiulin Wang
David Horner
Morten A. Rasmussen
E. Acar
88
0
0
18 Jun 2024
SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping
SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping
Hana Sebia
Thomas Guyet
Etienne Audureau
67
1
0
02 Oct 2023
PheME: A deep ensemble framework for improving phenotype prediction from
  multi-modal data
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data
Shenghan Zhang
Haoxuan Li
Ruixiang Tang
Sirui Ding
L. Rasmy
Degui Zhi
Na Zou
Helen Zhou
66
5
0
19 Mar 2023
PARAFAC2-based Coupled Matrix and Tensor Factorizations
PARAFAC2-based Coupled Matrix and Tensor Factorizations
Carla Schenker
Xiulin Wang
E. Acar
61
5
0
24 Oct 2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Florian Becker
A. Smilde
E. Acar
62
5
0
01 Sep 2022
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task
  Learning
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning
Yifei Ren
Jian Lou
Li Xiong
Joyce C. Ho
Xiaoqian Jiang
Sivasubramanium Bhavan
OOD
71
3
0
01 Aug 2022
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense
  Tensors
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors
Jun-Gi Jang
U. Kang
45
11
0
24 Mar 2022
Compensating trajectory bias for unsupervised patient stratification
  using adversarial recurrent neural networks
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks
A. Javer
O. Parsons
Oliver Carr
J. Baxter
C. Diedrich
E. Elcci
Steffen Schaper
K. Coboeken
Robert Durichen
28
1
0
14 Dec 2021
Deep learning for temporal data representation in electronic health
  records: A systematic review of challenges and methodologies
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F. Xie
Han Yuan
Yilin Ning
M. Ong
Mengling Feng
Wynne Hsu
B. Chakraborty
Nan Liu
99
89
0
21 Jul 2021
PANTHER: Pathway Augmented Nonnegative Tensor factorization for
  HighER-order feature learning
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning
Yuan Luo
Chengsheng Mao
MedIm
58
12
0
15 Dec 2020
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Ardavan Afshar
Kejing Yin
Sherry H. F. Yan
Cheng Qian
Joyce C. Ho
Haesun Park
Jimeng Sun
38
11
0
08 Oct 2020
Pay Attention to Evolution: Time Series Forecasting with Deep
  Graph-Evolution Learning
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
Gabriel Spadon
linda Qiao
Bruno Brandoli
Stan Matwin
Jose F. Rodrigues-Jr
Jimeng Sun
AI4TS
60
59
0
28 Aug 2020
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with
  Feature selection
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection
Ehsan Asali
Farzan Shenavarmasouleh
F. Mohammadi
P. Suresh
H. Arabnia
65
19
0
14 Jul 2020
1