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Leo Schwinn
List of publications:
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Machine Learning and Data Analytics Lab
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)
Project Memberships
(3)
Publications
(17)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
Translation
Translation
Thesis
Thesis
Edited Volume
Edited Volume
Conference contribution
Conference contribution
Other publication type
Other publication type
Unpublished / Preprint
Unpublished / Preprint
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Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation (2024)
Nieth B, Altstidl TR, Schwinn L, Eskofier B
Conference contribution, Conference Contribution
Sensory evaluation of axillary odour samples of younger and older adults by a trained panel (2024)
Owsienko D, Schwinn L, Eskofier B, Kiesswetter E, Loos H
Journal article
Artificial intelligence trend analysis in German business and politics: a web mining approach (2023)
Dumbach P, Schwinn L, Löhr T, Elsberger T, Eskofier B
Journal article, Original article
Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach (2023)
Dumbach P, Schwinn L, Löhr T, Do PL, Eskofier B
Journal article, Original article
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks (2023)
Altstidl TR, Nguyen A, Schwinn L, Köferl F, Mutschler C, Eskofier B, Zanca D
Conference contribution, Original article
FastAMI - A Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics (2023)
Klede K, Schwinn L, Zanca D, Eskofier B
Conference contribution, Original article
Exploring the interrelationship between the skin microbiome and skin volatiles: A pilot study (2023)
Härtl T, Owsienko D, Schwinn L, Hirsch C, Eskofier B, Lang R, Wirtz S, Loos H
Journal article
Exploring misclassifications of robust neural networks to enhance adversarial attacks (2023)
Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B
Journal article
xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning (2022)
Link J, Schwinn L, Pulsmeyer F, Kautz T, Eskofier B
Journal article
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification (2022)
Schwinn L, Bungert L, Nguyen A, Raab R, Pulsmeyer F, Precup D, Eskofier B, Zanca D
Conference contribution, Conference Contribution
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