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SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping

SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping

2 October 2023
Hana Sebia
Thomas Guyet
Etienne Audureau
ArXivPDFHTML

Papers citing "SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping"

9 / 9 papers shown
Title
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
34
11
0
24 Mar 2022
The Minimum Description Length Principle for Pattern Mining: A Survey
The Minimum Description Length Principle for Pattern Mining: A Survey
E. Galbrun
AI4TS
41
24
0
28 Jul 2020
TASTE: Temporal and Static Tensor Factorization for Phenotyping
  Electronic Health Records
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
Ardavan Afshar
Ioakeim Perros
Haesun Park
C. Defilippi
Xiaowei Yan
Walter F. Stewart
Joyce C. Ho
Jimeng Sun
41
33
0
13 Nov 2019
Generalized Canonical Polyadic Tensor Decomposition
Generalized Canonical Polyadic Tensor Decomposition
David Hong
T. Kolda
J. Duersch
50
125
0
22 Aug 2018
COPA: Constrained PARAFAC2 for Sparse & Large Datasets
COPA: Constrained PARAFAC2 for Sparse & Large Datasets
Ardavan Afshar
Ioakeim Perros
Evangelos E. Papalexakis
Elizabeth Searles
Joyce C. Ho
Jimeng Sun
44
42
0
12 Mar 2018
TensorLy: Tensor Learning in Python
TensorLy: Tensor Learning in Python
Jean Kossaifi
Yannis Panagakis
Anima Anandkumar
Maja Pantic
54
355
0
29 Oct 2016
A Flexible and Efficient Algorithmic Framework for Constrained Matrix
  and Tensor Factorization
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization
Kejun Huang
N. Sidiropoulos
A. Liavas
46
172
0
13 Jun 2015
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
160
2,808
0
20 Feb 2015
Tensor decompositions for learning latent variable models
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
432
1,145
0
29 Oct 2012
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