Christian Bergler

Lehrstuhl für Informatik 5 (Mustererkennung) Professur für Informatik (Mustererkennung)

Robustness Evaluation of Machine Learning Models for Fault Classification and Localization in Power System Protection (2026) Oelhaf J, Pashaei M, Kordowich G, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint PROTECT-90: A Fault Dataset for Power System Protection (2026) Oelhaf J, Kordowich G, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint Advances in deep learning-driven photo identification and meta analysis of cetaceans in large data repositories (2025) Barnhill A, Towers JR, Shaw T, Arias M, Becares A, Doniol-Valcroze T, von Fersen L, et al. Journal article A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management (2025) Oelhaf J, Kordowich G, Pashaei M, Bergler C, Maier A, Jäger J, Bayer S Journal article, Review article Deep machine learning allows classification of male and female songbird songs in a species with highly variable repertoires (2025) Keck SM, Barnhill A, Smeele SQ, Hsu M, Dolson-Fazio A, Bergler C, Ball GF, et al. Journal article Same Semantics of the Signal - What Do We Cluster with what Representation (2025) Barnhill A, Traub O, Nöth E, Maier A, Bergler C Conference contribution, Original article Utilizing Deep Incomplete Classifiers To Implement Semantic Clustering For Killer Whale Photo Identification Data (2024) Barnhill A, Towers JR, Nöth E, Maier A, Bergler C Conference contribution, Original article ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement (2024) Barnhill A, Nöth E, Maier A, Bergler C Conference contribution, Original article Robust Classification of Parkinson’s Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions (2024) Lopez-Santander DA, David Rios-Urrego C, Bergler C, Nöth E, Orozco-Arroyave JR Conference contribution ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation (2023) Hauer C, Nöth E, Barnhill A, Maier A, Guthunz J, Hofer H, Cheng RX, et al. Journal article