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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

17 June 2022
Andreas Klass
Sven M. Lorenz
M. Lauer-Schmaltz
David Rügamer
Bernd Bischl
Christopher Mutschler
Felix Ott
ArXivPDFHTML

Papers citing "Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift"

9 / 9 papers shown
Title
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
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
N. Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLL
BDL
63
7
0
17 May 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
4
7
0
09 Feb 2024
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
6
1
0
16 Jan 2023
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
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
40
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
12
17
0
14 Feb 2022
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
264
0
13 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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