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Sven Giesselbach

Showing results (1-10 of 4) with videos related to

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Frontiers in Bioengineering and Biotechnology|May 1, 2020
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine LearningJohannes Burdack, Fabian Horst, Sven Giesselbach, et al.
Frontiers in Bioengineering and Biotechnology|August 21, 2023
Identifying underlying individuality across running, walking, and handwriting patterns with conditional cycle-consistent generative adversarial networksJohannes Burdack, Sven Giesselbach, Marvin L Simak, et al.
BMC Medical Informatics and Decision Making|August 29, 2024
From admission to discharge: a systematic review of clinical natural language processing along the patient journeyKatrin Klug, Katharina Beckh, Dario Antweiler, et al.
Computers in Biology and Medicine|June 24, 2025
From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reportsKamyar Arzideh, Henning Schäfer, Héctor Allende-Cid, et al.
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Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Bioengineering and Biotechnology|May 1, 2020
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine LearningJohannes Burdack, Fabian Horst, Sven Giesselbach, et al.
Frontiers in Bioengineering and Biotechnology|August 21, 2023
Identifying underlying individuality across running, walking, and handwriting patterns with conditional cycle-consistent generative adversarial networksJohannes Burdack, Sven Giesselbach, Marvin L Simak, et al.
BMC Medical Informatics and Decision Making|August 29, 2024
From admission to discharge: a systematic review of clinical natural language processing along the patient journeyKatrin Klug, Katharina Beckh, Dario Antweiler, et al.
Computers in Biology and Medicine|June 24, 2025
From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reportsKamyar Arzideh, Henning Schäfer, Héctor Allende-Cid, et al.
Pageof 1