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

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 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 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 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 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 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 Aaqib Saeed T. Ozcelebi J. Lukkien SSL 21 269 0 27 Jul 2019
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping Suhas Lohit Qiao Wang P. Turaga ViT 11 56 0 13 Jun 2019
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 30 857 0 22 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
Imaging Time-Series to Improve Classification and Imputation Zhiguang Wang Tim Oates AI4TS 61 667 0 01 Jun 2015