Machine Learning and Data Analytics Lab

Lower Vagal Response to the Cold Face Test during Acute Psychosocial Stress is Associated with Higher Cortisol Reactivity (2024) Richer R, Zenkner JJ, Küderle A, Rohleder N, Eskofier B Conference contribution, Abstract of a poster f-TSST+: An extension to the friendly Trier Social Stress Test that enables better behavioral comparability during acute psychosocial stress (2024) Kurz M, Richer R, Abel L, Hauck F, Ringgold V, Schindler-Gmelch L, Eskofier B, Rohleder N Conference contribution, Abstract of a poster Disgust-based approach-avoidance modification training for individuals suffering from elevated stress: A randomized controlled pilot study (2024) Streit H, Keinert M, Schindler-Gmelch L, Eskofier B, Berking M Journal article An 8-week injury prevention exercise program combined with change-of-direction technique training limits movement patterns associated with anterior cruciate ligament injury risk (2024) Mohr M, Federolf P, Heinrich D, Nitschke M, Raschner C, Scharbert J, Koelewijn A Journal article Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking (2024) Küderle A, Ullrich M, Roth N, Ollenschläger M, Ibrahim A, Moradi H, Richer R, et al. Journal article A digital twin to overcome long-time challenges in photovoltaics (2024) Lüer L, Peters IM, Smith AS, Dorschky E, Eskofier B, Liers-Bergmann F, Franke J, et al. Journal article Machine Learning Approach for Touchless Radar-based Detection of Life and Death (2024) Grießhammer S, Yip J, Dorschky E, Heckel M, Eskofier B, Kölpin A, Ostgathe C, Steigleder T Conference contribution, Abstract of lecture Classification of rheumatoid arthritis from hand motion capture data using machine learning (2024) Fleischmann S, Holzwarth Correa V, Coppers B, Sadeghi M, Richer R, Kleyer A, Simon D, et al. Conference contribution, Conference Contribution Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values (2024) Roider J, Wang W, Zanca D, Matzner M, Eskofier B Conference contribution, Conference Contribution Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach (2024) Fleischmann S, Dietz S, Shanbhag J, Wünsch A, Nitschke M, Miehling J, Wartzack S, et al. Journal article, Original article