Machine Learning and Data Analytics Lab


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Body movements as biomarkers: Machine Learning-based prediction of HPA axis reactivity to stress (2025) Abel L, Richer R, Burkhardt F, Kurz M, Ringgold V, Schindler-Gmelch L, Eskofier B, Rohleder N Journal article Adherence to digital pregnancy care – lessons learned from the SMART start feasibility study (2025) Jäger K, Nissen M, Leutheuser H, Danzberger N, Titzmann A, Pontones C, Goossens C, et al. Journal article Optimized Learned Image Compression for Facial Expression Recognition (2025) Li X, Windsheimer M, Sadeghi M, Eskofier B, Kaup A Conference contribution Sensor-Based Detection of Fear and Stress in Lower Back Pain Simulation (2025) Heuler A, Oeler C, Richer R, Rohleder N, Barke A, Weise C Conference contribution, Abstract of a poster Special Issue Editorial: Advancing Psychoneuroendocrinology through Artificial Intelligence and Digital Technologies (2025) Richer R, Rohleder N Journal article Predicting Disease Activity Score in Rheumatoid Arthritis Patients Treated with Biologic Disease-Modifying Antirheumatic Drugs Using Machine Learning Models (2025) Salehihafshejani F, Zarifi S, Bayat S, Habibpour M, Asemanrafat A, Kleyer A, Schett G, et al. Journal article Don’t get me wrong: How to apply deep visual interpretations to time series (2025) Löffler C, Lai WC, Zanca D, Schmidt L, Eskofier B, Mutschler C Journal article Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching (2025) Müller J, Weiß A, Eskofier B Conference contribution Multimodal stress assessment: Connecting task-related changes in self-reported stress, salivary biomarkers, heart rate, and facial expressions in the context of the stress response to the Trier Social Stress Test (2025) Ringgold V, Burkhardt F, Abel L, Kurz M, Müller V, Richer R, Eskofier B, et al. Journal article A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs (2025) Salehihafshejani F, Salin E, Smarr B, Bayat S, Kleyer A, Schett G, Fritsch-Stork R, Eskofier B Journal article