Machine Learning and Data Analytics Lab

Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud (2023) Rodrigues VF, da Rosa Righi R, da Costa CA, Zeiser FA, Eskofier B, Maier A, Kim D Journal article Non-invasive estimation of muscle fibre size from high-density electromyography (2023) Casolo A, Maeo S, Balshaw TG, Lanza MB, Martin NRW, Nuccio S, Moro T, et al. Journal article Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. (2023) Ullrich M, Roth N, Küderle A, Richer R, Gladow T, Gaßner H, Marxreiter F, et al. Journal article Exploring misclassifications of robust neural networks to enhance adversarial attacks (2023) Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B Journal article Evaluation of the effectiveness of the decision support algorithm for physicians in retinal dystrophy using machine learning methods (2023) Zhdanov AE, Dolganov AY, Zanca D, Borisov VI, Luchian E, Dorosinsky LG Journal article ADABase: A Multimodal Dataset for Cognitive Load Estimation (2023) Oppelt MP, Foltyn A, Deuschel J, Lang NR, Holzer N, Eskofier B, Yang SH Journal article Stroop, Stress, and VR: Developing the Virtual Reality Stroop Room (2023) Ringgold V, Mehringer W, Eskofier B, Rohleder N Conference contribution, Conference Contribution Efficacy of a smartphone-based reappraisal training against depression and benefits of enhancing it with facial expression (2023) Rupp L, Capito K, Gmelch LM, Böhme S, Richer R, Sadeghi M, Rahimi F, et al. Conference contribution, Abstract of lecture Improving the Robustness of IMU-based Sit-To-Stand Detection during Simulated Real-World Activities for Different Sensor Positions (2023) Seifer AK, Popp F, Richer R, Gaßner H, Eskofier B Conference contribution, Conference Contribution Discussion and recommendations from the 2023 ”Gaze Meets ML” workshop breakout session (2023) Karargyris A, Ahmed S, de Belen RA, Banerjee B, Ibrayev T, Kashyap S, Krupinski E, et al. Conference contribution