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Machine Learning and Data Analytics Lab
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Overview
Publications
(688)
Research Data
(1)
Research Grants
(104)
Research Fields
(6)
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Journal article
Journal article
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Book chapter / Article in edited volumes
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tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation (2023)
Küderle A, Richer R, Simpetru R, Eskofier B
Journal article, Original article
Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data (2023)
Nitschke M, Marzilger R, Leyendecker S, Eskofier B, Koelewijn A
Journal article, Original article
Perspective on “in the wild” movement analysis using machine learning (2023)
Dorschky E, Camomilla V, Davis J, Federolf P, Reenalda J, Koelewijn A
Journal article, 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
Optimal Control and Machine Learning in Biomechanics: Hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing (2023)
Dorschky E
Thesis
Mobile digital gait analysis objectively measures progression in hereditary spastic paraplegia (2023)
Loris E, Ollenschläger M, Greinwalder T, Eskofier B, Winkler J, Gaßner H, Regensburger M
Journal article
Listening to the patients' voice: a conceptual framework of the walking experience (2023)
Delgado-Ortiz L, Polhemus A, Keogh A, Sutton N, Remmele W, Hansen C, Kluge F, et al.
Journal article
Breathe your stress away. Preliminary results of a randomized controlled study investigating a breath-based approach-avoidance modification training in individuals with elevated stress (2023)
Keinert M, Böhme S, Eskofier B, Schuller BW, Berking M
Conference contribution, Conference Contribution
Discussion and recommendations from the 2023 ”Gaze Meets ML” workshop breakout session (2023)
Karargyris A, Ahmed S, de Belen RA, Banerjee B, Ibrayev T, Kashyap S, Krupinski E, et al.
Conference contribution
Improving the Robustness of IMU-based Sit-To-Stand Detection during Simulated Real-World Activities for Different Sensor Positions (2023)
Seifer AK, Popp F, Richer R, Gaßner H, Eskofier B
Conference contribution, Conference Contribution
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