Laura Beggel

According to our database, Laura Beggel authored at least 5 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

SELF: Learning to Filter Noisy Labels with Self-Ensembling.

Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Laura Beggel, Thomas Brox

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Time series anomaly detection based on shapelet learning.

Laura Beggel, Bernhard X. Kausler, Martin Schiegg, Michael Pfeiffer, Bernd Bischl

Comput. Stat., 2019

Benchmarking time series classification - Functional data vs machine learning approaches.

Florian Pfisterer, Laura Beggel, Xudong Sun, Fabian Scheipl, Bernd Bischl

CoRR, 2019

Robust Learning Under Label Noise With Iterative Noise-Filtering.

Duc Tam Nguyen, Thi-Phuong-Nhung Ngo, Zhongyu Lou, Michael Klar, Laura Beggel, Thomas Brox

CoRR, 2019

Robust Anomaly Detection in Images Using Adversarial Autoencoders.

Laura Beggel, Michael Pfeiffer, Bernd Bischl

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019