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Improving Clinical Predictions through Unsupervised Time Series
  Representation Learning

Improving Clinical Predictions through Unsupervised Time Series Representation Learning

2 December 2018
Xinrui Lyu
Matthias Huser
Stephanie L. Hyland
George Zerveas
Gunnar Rätsch
    SSL
    OOD
    AI4TS
ArXivPDFHTML

Papers citing "Improving Clinical Predictions through Unsupervised Time Series Representation Learning"

20 / 20 papers shown
Title
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model
Jin Cui
Alexander Capstick
Payam Barnaghi
Gregory Scott
63
0
0
14 Feb 2025
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia
Jin Cui
Alexander Capstick
Payam Barnaghi
Gregory Scott
85
0
0
13 Feb 2025
Recurrent Neural Network-Based Semantic Variational Autoencoder for
  Sequence-to-Sequence Learning
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning
Myeongjun Jang
Seungwan Seo
Pilsung Kang
DRL
65
55
0
09 Feb 2018
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss
J. Chorowski
Navdeep Jaitly
Yonghui Wu
Zhiwen Chen
74
341
0
24 Mar 2017
The Use of Autoencoders for Discovering Patient Phenotypes
The Use of Autoencoders for Discovering Patient Phenotypes
Harini Suresh
Peter Szolovits
Marzyeh Ghassemi
DRL
50
28
0
20 Mar 2017
Canonical Correlation Analysis for Analyzing Sequences of Medical
  Billing Codes
Canonical Correlation Analysis for Analyzing Sequences of Medical Billing Codes
Corinne L. Jones
Sham Kakade
L. Thornblade
D. Flum
A. Flaxman
CML
26
3
0
01 Dec 2016
Unsupervised Pretraining for Sequence to Sequence Learning
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran
Peter J. Liu
Quoc V. Le
SSL
AIMat
71
281
0
08 Nov 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
99
1,238
0
19 Aug 2016
Multi-layer Representation Learning for Medical Concepts
Multi-layer Representation Learning for Medical Concepts
Edward Choi
M. T. Bahadori
Elizabeth Searles
Catherine Coffey
Jimeng Sun
SSL
AI4TS
36
505
0
17 Feb 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
316
7,951
0
17 Aug 2015
Attention-Based Models for Speech Recognition
Attention-Based Models for Speech Recognition
J. Chorowski
Dzmitry Bahdanau
Dmitriy Serdyuk
Kyunghyun Cho
Yoshua Bengio
101
2,605
0
24 Jun 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
A. Kumar
Ozan Irsoy
Peter Ondruska
Mohit Iyyer
James Bradbury
Ishaan Gulrajani
Victor Zhong
Romain Paulus
R. Socher
85
1,176
0
24 Jun 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
147
1,959
0
16 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
286
10,034
0
10 Feb 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
287
20,491
0
10 Sep 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
OOD
SSL
70
1,018
0
26 Jun 2014
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
182
9,231
0
16 May 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
367
16,962
0
20 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
300
33,445
0
16 Oct 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
184
12,384
0
24 Jun 2012
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