ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data

15 March 2022

Emadeldeen Eldele

Chuan-Sheng Foo

Papers citing "ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data"

9 / 9 papers shown

Title
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein N. Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 49 7 0 31 Mar 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 53 0 0 28 Jan 2025
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel Christopher Sandino Behrooz Mahasseni Ellen L. Zippi Erdrin Azemi Ali Moin Juri Minxha TTA AI4TS 50 3 0 03 Oct 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 51 1 0 21 Feb 2024
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data Mohamed Ragab Emadeldeen Eldele Min-man Wu Chuan-Sheng Foo Xiaoli Li Zhenghua Chen TTA AI4TS 19 18 0 14 Jul 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data Qing Xu Min-man Wu Xiaoli Li K. Mao Zhenghua Chen 19 5 0 07 Jul 2023
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey Avijoy Chakma A. Faridee Indrajeet Ghosh Nirmalya Roy 38 4 0 07 Apr 2023
Label-efficient Time Series Representation Learning: A Review Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li AI4TS 32 13 0 13 Feb 2023
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 34 45 0 13 Jun 2022