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

15 March 2022

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

5 / 5 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 47 7 0 31 Mar 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 45 0 0 28 Jan 2025
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 14 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 14 4 0 07 Apr 2023
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 21 44 0 13 Jun 2022