ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.10996
  4. Cited By
Multi-Source Deep Domain Adaptation with Weak Supervision for
  Time-Series Sensor Data

Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data

22 May 2020
Garrett Wilson
J. Doppa
D. Cook
    TTA
    AI4TS
    AI4CE
ArXivPDFHTML

Papers citing "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data"

11 / 11 papers shown
Title
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
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
Binary Losses for Density Ratio Estimation
Werner Zellinger
40
0
0
28 Jan 2025
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
14
0
30 Jan 2024
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Hui Cai
Xiang Zhang
Xiaofeng Liu
AI4TS
23
0
0
13 Oct 2023
Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets
Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets
Zhongji Zhang
Yuhang Wang
Yinghao Zhu
Xinyu Ma
Tianlong Wang
Chaohe Zhang
Yasha Wang
Liantao Ma
Xiaoyun Zhang
Ling Wang
OOD
22
1
0
11 Oct 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model
  Compression on Time Series Data
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
6
5
0
07 Jul 2023
Domain Adaptation for Inertial Measurement Unit-based Human Activity
  Recognition: A Survey
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey
Avijoy Chakma
A. Faridee
Indrajeet Ghosh
Nirmalya Roy
6
4
0
07 Apr 2023
Domain Generalization via Selective Consistency Regularization for Time
  Series Classification
Domain Generalization via Selective Consistency Regularization for Time Series Classification
Wenyu Zhang
Mohamed Ragab
Chuan-Sheng Foo
OOD
AI4TS
13
2
0
16 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
13
44
0
13 Jun 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
TTA
AI4TS
23
31
0
07 Apr 2022
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
85
1,058
0
11 Sep 2019
1