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Laura Beggel
ORCID
Publication Activity (10 Years)
Years Active: 2019-2020
Publications (10 Years): 7
Top Topics
Anomalous Behavior
Detecting Anomalies
Anomaly Detection
Label Noise
Top Venues
CoRR
ECML/PKDD (1)
ICLR
Comput. Stat.
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Publications
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Duc Tam Nguyen
,
Chaithanya Kumar Mummadi
,
Thi-Phuong-Nhung Ngo
,
Thi Hoai Phuong Nguyen
,
Laura Beggel
,
Thomas Brox
SELF: Learning to Filter Noisy Labels with Self-Ensembling.
ICLR
(2020)
Florian Pfisterer
,
Laura Beggel
,
Xudong Sun
,
Fabian Scheipl
,
Bernd Bischl
Benchmarking time series classification - Functional data vs machine learning approaches.
CoRR
(2019)
Laura Beggel
,
Michael Pfeiffer
,
Bernd Bischl
Robust Anomaly Detection in Images using Adversarial Autoencoders.
CoRR
(2019)
Duc Tam Nguyen
,
Thi-Phuong-Nhung Ngo
,
Zhongyu Lou
,
Michael Klar
,
Laura Beggel
,
Thomas Brox
Robust Learning Under Label Noise With Iterative Noise-Filtering.
CoRR
(2019)
Laura Beggel
,
Bernhard X. Kausler
,
Martin Schiegg
,
Michael Pfeiffer
,
Bernd Bischl
Time series anomaly detection based on shapelet learning.
Comput. Stat.
34 (3) (2019)
Laura Beggel
,
Michael Pfeiffer
,
Bernd Bischl
Robust Anomaly Detection in Images Using Adversarial Autoencoders.
ECML/PKDD (1)
(2019)
Duc Tam Nguyen
,
Chaithanya Kumar Mummadi
,
Thi-Phuong-Nhung Ngo
,
Thi Hoai Phuong Nguyen
,
Laura Beggel
,
Thomas Brox
SELF: Learning to Filter Noisy Labels with Self-Ensembling.
CoRR
(2019)