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Learning to Exploit Invariances in Clinical Time-Series Data using
  Sequence Transformer Networks

Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks

21 August 2018
Jeeheh Oh
Jiaxuan Wang
Jenna Wiens
    AI4TS
    MedIm
ArXivPDFHTML

Papers citing "Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks"

10 / 10 papers shown
Title
Mixing Up Contrastive Learning: Self-Supervised Representation Learning
  for Time Series
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series
Kristoffer Wickstrøm
Michael C. Kampffmeyer
Karl Øyvind Mikalsen
Robert Jenssen
SSL
AI4TS
20
94
0
17 Mar 2022
CaSS: A Channel-aware Self-supervised Representation Learning Framework
  for Multivariate Time Series Classification
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification
Yijiang Chen
Xiangdong Zhou
Zhen Xing
Zhidan Liu
Minyang Xu
AI4TS
SSL
27
5
0
08 Mar 2022
Gated Transformer Networks for Multivariate Time Series Classification
Gated Transformer Networks for Multivariate Time Series Classification
Minghao Liu
Shengqi Ren
Siyuan Ma
Jiahui Jiao
Yizhou Chen
Zhiguang Wang
Wei Song
AI4TS
41
130
0
26 Mar 2021
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
L. Boussioux
C. Zeng
Théo Guénais
Dimitris Bertsimas
16
38
0
11 Nov 2020
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying
  and Classifying Sigma Promoters
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters
Ruhul Amin
C. R. Rahman
Md. Habibur Rahman Sifat
Md Nazmul Khan Liton
Md. Moshiur Rahman
Swakkhar Shatabda
Sajid Ahmed
8
42
0
21 Dec 2019
Multi-task Self-Supervised Learning for Human Activity Detection
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed
T. Ozcelebi
J. Lukkien
SSL
21
269
0
27 Jul 2019
Temporal Transformer Networks: Joint Learning of Invariant and
  Discriminative Time Warping
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping
Suhas Lohit
Qiao Wang
Pavan Turaga
ViT
11
56
0
13 Jun 2019
Multitask learning and benchmarking with clinical time series data
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
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
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
Imaging Time-Series to Improve Classification and Imputation
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang
Tim Oates
AI4TS
63
667
0
01 Jun 2015
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