Stebėti
Maresa Schröder
Maresa Schröder
University of Munich (LMU), Fraunhofer Institute for Cognitive Systems (IKS)
Patvirtintas el. paštas lmu.de
Pavadinimas
Cituota
Cituota
Metai
Automatic gait analysis during steady and unsteady walking using a smartphone
A Sher, D Langford, E Dogger, D Monaghan, LI Lunn, M Schroeder, ...
Authorea Preprints, 2023
42023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
M Schröder, D Frauen, S Feuerriegel
The Twelfth International Conference on Learning Representations, 2023
12023
What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification
M Schröder, A Zamanian, N Ahmidi
Machine Learning and Knowledge Extraction 5 (2), 539-559, 2023
12023
Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data
M Schröder, A Zamanian, N Ahmidi
International Workshop on Trustworthy Machine Learning for Healthcare, 106-121, 2023
12023
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