Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification

7 December 2023

Papers citing "Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification"

6 / 6 papers shown

Title
Transformer representation learning is necessary for dynamic multi-modal physiological data on small-cohort patients Bingxu Wang Kunzhi Cai Yuqi Zhang Yachong Guo Zeyi Zhou Yachong Guo Yachong Guo Wei Wang Qing Zhou MedIm 23 0 0 05 Apr 2025
Multiscale Dubuc: A New Similarity Measure for Time Series Mahsa Khazaei Azim Ahmadzadeh Krishna Rukmini Puthucode AI4TS 24 0 0 15 Nov 2024
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs Navid Mohammadi Foumani G. Mackellar Soheila Ghane Saad Irtza Nam Nguyen Mahsa Salehi 10 14 0 17 Feb 2024
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey Navid Mohammadi Foumani Lynn Miller Chang Wei Tan G. I. Webb Germain Forestier Mahsa Salehi BDL AI4TS 25 35 0 06 Feb 2023
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 198 0 28 Jan 2021
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 127 601 0 05 Mar 2017