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Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift

7 April 2022
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
    OOD
    TTA
    AI4TS
ArXivPDFHTML

Papers citing "Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift"

21 / 21 papers shown
Title
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
Tian-Shing Lan
Yifei Gao
Yimeng Lu
Chen Zhang
36
0
0
01 May 2025
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization
Peiliang Gong
Emadeldeen Eldele
Min Wu
Zhenghua Chen
Xiaoli Li
Daoqiang Zhang
AI4TS
AI4CE
41
0
0
15 Apr 2025
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
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
Nishant S. Gaikwad
Lucas Heublein
N. Raichur
Tobias Feigl
Christopher Mutschler
Felix Ott
48
5
0
31 Dec 2024
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain
  Adaptation
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
Yucheng Wang
Peiliang Gong
Min-man Wu
Felix Ott
Xiaoli Li
Lihua Xie
Zhenghua Chen
TTA
30
1
0
29 Sep 2024
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization
Lucas Heublein
Tobias Feigl
Thorsten Nowak
A. Rügamer
Christopher Mutschler
Felix Ott
29
6
0
23 Sep 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for
  Interference Classification in GNSS Data
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data
Felix Ott
Lucas Heublein
N. Raichur
Tobias Feigl
Jonathan Hansen
A. Rügamer
Christopher Mutschler
14
7
0
09 Feb 2024
Zero-shot Microclimate Prediction with Deep Learning
Zero-shot Microclimate Prediction with Deep Learning
I. Deznabi
Peeyush Kumar
M. Fiterau
17
0
0
05 Jan 2024
Label-efficient Time Series Representation Learning: A Review
Label-efficient Time Series Representation Learning: A Review
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
AI4TS
25
13
0
13 Feb 2023
Domain Adaptation for Time Series Under Feature and Label Shifts
Domain Adaptation for Time Series Under Feature and Label Shifts
Huan He
Owen Queen
Teddy Koker
Consuelo Cuevas
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
21
60
0
06 Feb 2023
Representation Learning for Tablet and Paper Domain Adaptation in Favor
  of Online Handwriting Recognition
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
8
1
0
16 Jan 2023
Uncertainty-aware Evaluation of Time-Series Classification for Online
  Handwriting Recognition with Domain Shift
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift
Andreas Klass
Sven M. Lorenz
M. Lauer-Schmaltz
David Rügamer
Bernd Bischl
Christopher Mutschler
Felix Ott
29
10
0
17 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via
  Time-Frequency Consistency
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang
Ziyuan Zhao
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
23
269
0
17 Jun 2022
Auxiliary Cross-Modal Representation Learning with Triplet Loss
  Functions for Online Handwriting Recognition
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
45
9
0
16 Feb 2022
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting
  Recognition from IMU-Enhanced Pens
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens
Felix Ott
David Rügamer
Lucas Heublein
Tim Hamann
Jens Barth
Bernd Bischl
Christopher Mutschler
22
17
0
14 Feb 2022
CALDA: Improving Multi-Source Time Series Domain Adaptation with
  Contrastive Adversarial Learning
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning
Garrett Wilson
J. Doppa
D. Cook
26
32
0
30 Sep 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing
Domain Adaptation for Time Series Forecasting via Attention Sharing
Xiaoyong Jin
Youngsuk Park
Danielle C. Maddix
Bernie Wang
Xifeng Yan
TTA
OOD
AI4TS
96
74
0
13 Feb 2021
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
61
53
0
05 Jan 2021
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
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms
  Regularization Framework
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
Arman Rahbar
Ashkan Panahi
M. Chehreghani
Devdatt Dubhashi
Hamid Krim
14
0
0
09 Mar 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
210
1,391
0
04 Dec 2018
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