Neighborhood Contrastive Learning Applied to Online Patient Monitoring

9 June 2021

Francesco Locatello

Papers citing "Neighborhood Contrastive Learning Applied to Online Patient Monitoring"

28 / 28 papers shown

Title
PaPaGei: Open Foundation Models for Optical Physiological Signals Arvind Pillai Dimitris Spathis F. Kawsar Mohammad Malekzadeh VLM 37 7 0 27 Oct 2024
Dynamic Contrastive Learning for Time Series Representation Abdul-Kazeem Shamba Kerstin Bach Gavin Taylor AI4TS 19 0 0 20 Oct 2024
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition Qile Liu Weishan Ye Yulu Liu Zhen Liang 33 0 0 17 Aug 2024
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation Jianping Zhou Junhao Li Guanjie Zheng Xinbing Wang Chenghu Zhou 30 2 0 11 Aug 2024
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring Thomas Kite Uzair Tahamid Siam Brian Ayers Nicholas Houstis Aaron D Aguirre 27 1 0 07 Jun 2024
Denoising-Aware Contrastive Learning for Noisy Time Series Shuang Zhou Daochen Zha Xiao Shen Xiao Shi Huang Rui Zhang Fu-Lai Chung AI4TS 27 0 0 07 Jun 2024
Using Self-supervised Learning Can Improve Model Fairness Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 46 4 0 04 Jun 2024
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications Fabian Baldenweg Manuel Burger Gunnar Rätsch Rita Kuznetsova AI4TS 41 0 0 27 Mar 2024
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 42 2 0 03 Jan 2024
Soft Contrastive Learning for Time Series Seunghan Lee Taeyoung Park Kibok Lee AI4TS 22 2 0 27 Dec 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Rita Kuznetsova Alizée Pace Manuel Burger Hugo Yèche Gunnar Rätsch AI4TS 21 5 0 15 Nov 2023
Language Model Training Paradigms for Clinical Feature Embeddings Yurong Hu Manuel Burger Gunnar Rätsch Rita Kuznetsova 14 0 0 01 Nov 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series Yihe Wang Yu Han Haishuai Wang Xiang Zhang AI4TS 14 21 0 21 Oct 2023
Self-supervised Representation Learning From Random Data Projectors Yi Sui Tongzi Wu Jesse C. Cresswell Ga Wu George Stein Xiao Shi Huang Xiaochen Zhang M. Volkovs 16 10 0 11 Oct 2023
M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms Ece Ozkan Thomas M. Sutter Yurong Hu S. Balzer Julia E. Vogt 9 0 0 07 Sep 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series Aniruddh Raghu P. Chandak Ridwan Alam John Guttag Collin M. Stultz AI4TS 17 13 0 20 Jul 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 109 97 0 16 Jun 2023
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach Xiang Lan Hanshu Yan linda Qiao Mengling Feng AI4TS 11 6 0 07 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 13 82 0 02 Feb 2023
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data Severin Husmann Hugo Yèche Gunnar Rätsch Rita Kuznetsova HAI 14 10 0 06 Dec 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 11 1 0 01 Sep 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. B. Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 66 58 0 30 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 18 44 0 13 Jun 2022
Deep Normed Embeddings for Patient Representation Thesath Nanayakkara G. Clermont C. Langmead D. Swigon AI4TS 17 1 0 12 Apr 2022
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data Hugo Yèche Rita Kuznetsova M. Zimmermann Matthias Huser Xinrui Lyu M. Faltys Gunnar Rätsch 21 40 0 16 Nov 2021
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale Isotta Landi B. Glicksberg Hao-Chih Lee S. Cherng Giulia Landi M. Danieletto J. Dudley Cesare Furlanello Riccardo Miotto 27 145 0 14 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 235 3,029 0 09 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013