Dr.-Ing. Christopher Mutschler

Department Artificial Intelligence in Biomedical Engineering (AIBE) Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Lehrstuhl für Informatik 2 (Programmiersysteme)

Delay Estimation in Dense Multipath Environments using Time Series Segmentation (2022) Kram S, Kraus C, Stahlke M, Feigl T, Thielecke J, Mutschler C Conference contribution, Conference Contribution IALE: Imitating Active Learner Ensembles (2022) Löffler C, Mutschler C Journal article, Original article Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach (2022) Ott F, Ruegamer D, Heublein L, Bischl B, Mutschler C Conference contribution Hierarchical learning for model predictive collision avoidance (2022) Landgraf D, Völz A, Kontes G, Graichen K, Mutschler C Conference contribution Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App (2021) Meyer S, Windisch T, Perl A, Dzibela D, Marzilger R, Witt N, Benzler J, et al. Conference contribution, Conference Contribution Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning (2021) Altstidl TR, Kram S, Herrmann O, Stahlke M, Feigl T, Mutschler C Conference contribution, Conference Contribution Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models (2021) Feigl T, Eberlein E, Kram S Conference contribution, Conference Contribution Estimating TOA Reliability with Variational Autoencoders (2021) Stahlke M, Kram S, Ott F, Feigl T, Mutschler C Journal article, Original article Real-Time Gait Reconstruction for Virtual Reality Using a Single Sensor (2020) Feigl T, Gruner L, Mutschler C, Roth D Conference contribution, Conference Contribution The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning (2020) Ott F, Wehbi M, Hamann T, Barth J, Eskofier B, Mutschler C Journal article