Prof. Dr. Björn Eskofier

Machine Learning and Data Analytics Lab Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data (2024) Müller J, Krauß D, Engel L, Vossiek M, Eskofier B, Dorschky E Conference contribution, Conference Contribution Motivational Factors for Experienced Users of Mobile Health Applications in Heart Failure Management (2024) Flaucher M, Prümer F, Jäger K, Rolny J, Trissler P, Eckl S, Eskofier B, Leutheuser H Conference contribution Soziale Implikationen von Gesundheitstechnologien in der Palliativversorgung – Entwicklung eines konzeptionellen Rahmenwerks (2024) Öhl N, Steigleder T, Hille EM, Braun M, Weisser A, Muehlensiepen F, Vossiek M, et al. Journal article Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task (2024) Schlieper P, Dombrowski M, Nguyen A, Zanca D, Eskofier B Journal article From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care (2024) Zakreuskaya A, Buschek D, Mackay WE, Avellino I, Dove G, Eskofier B Conference contribution Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring (2024) Roider J, Zanca D, Eskofier B Conference contribution, Original article Genetics-driven risk predictions leveraging the Mendelian randomization framework (2024) Sens D, Shilova L, Gräf L, Grebenshchikova M, Eskofier B, Casale FP Journal article Assessing Task-Related Changes in Self-Reported Stress: Validation of the Short Stress State Questionnaire in German(SSSQ-G) (2024) König V, Shields GS, Hauck F, Kurz M, Schindler-Gmelch L, Abel L, Richer R, et al. Conference contribution, Conference Contribution The Short Stress State Questionnaire in German (SSSQ-G): A Novel Tool for Assessing Task-Related Changes in Self-Reported Stress (2024) Ringgold V, Shields GS, Hauck F, Kurz M, Schindler-Gmelch L, Abel L, Richer R, et al. Conference contribution, Abstract of lecture Learning a Hand Model from Dynamic Movements Using High-Density EMG and Convolutional Neural Networks (2024) Simpetru R, Arkudas A, Braun D, Oßwald M, Souza de Oliveira D, Eskofier B, Kinfe TM, Del Vecchio A Journal article, Original article