Prof. Dr. Björn Eskofier

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

Sensory evaluation of axillary odour samples of younger and older adults by a trained panel (2024) Owsienko D, Schwinn L, Eskofier B, Kiesswetter E, Loos H Journal article A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis (2024) Altmannshofer S, Flaucher M, Beierlein M, Eskofier B, Beckmann M, Fasching P, Hübner H Journal article, Review article Artificial intelligence trend analysis in German business and politics: a web mining approach (2023) Dumbach P, Schwinn L, Löhr T, Elsberger T, Eskofier B Journal article, Original article Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study (2023) Nissen M, Perez CA, Jäger K, Bleher H, Flaucher M, Hübner H, Danzberger N, et al. Journal article Refinement and Usability Analysis of an eHealth App for Ankylosing Spondylitis as a Complementary Treatment to Physical Therapy: Development and Usability Study (2023) Nitschke M, Nwosu OB, Grube L, Knitza J, Seifer AK, Eskofier B, Schett G, Morf H Journal article Monitoring medication optimization in patients with Parkinson’s disease (2023) Moradi H, Hannink J, Stallforth S, Gladow T, Ringbauer S, Mayr M, Winkler J, et al. Conference contribution Uncertainty-based Fingerprinting Model Selection for Radio Localization (2023) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Conference contribution, Original article Author Correction: Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID (Scientific Reports, (2023), 13, 1, (13167), 10.1038/s41598-023-40263-w) (2023) Mehringer W, Stöve M, Krauß D, Ring M, Steussloff F, Güttes M, Zott J, et al. Journal article, Erratum Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study (2023) Keinert M, Eskofier B, Schuller BW, Böhme S, Berking M Journal article Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning (2023) Ollenschläger M, Höfner P, Ullrich M, Kluge F, Greinwalder T, Loris E, Regensburger M, et al. Journal article