Universal Physiological Representation Learning with Soft-Disentangled
Rateless Autoencoders

Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders

28 September 2020

Ozan Özdenizci

Deniz Erdogmus

Papers citing "Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders"

7 / 7 papers shown

Title
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning Philipp Hallgarten David Bethge Ozan Özdenizci T. Große-Puppendahl Enkelejda Kasneci AI4TS 11 0 0 10 Jun 2023
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond Di Wu Jie Yang Mohamad Sawan OOD MedIm 30 19 0 03 Oct 2022
quEEGNet: Quantum AI for Biosignal Processing T. Koike-Akino Ye Wang 27 4 0 29 Sep 2022
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders David Bethge Philipp Hallgarten T. Große-Puppendahl Mohamed Kari L. Chuang Ozan Özdenizci Albrecht Schmidt DRL 22 27 0 16 Jul 2022
Exploiting Multiple EEG Data Domains with Adversarial Learning David Bethge Philipp Hallgarten Ozan Özdenizci Ralf Mikut Albrecht Schmidt T. Große-Puppendahl 13 8 0 16 Apr 2022
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data Niklas Smedemark-Margulies Ye Wang T. Koike-Akino Deniz Erdogmus OOD 6 5 0 17 Dec 2021
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction Mo Han Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus AAML DRL 72 19 0 26 Aug 2020