The research group “Machine Learning for High-Throughput Methods and Mechatronics” (ML4HOME) deals with the analysis of data being generated automatically by mechatronic systems in big amounts. We aim for models based on labeled / unlabeled images or time-series. Our focus is the generalization of big data-sets consisting of a lot of data points (high-throughput), whose extent requires mandatory automatic processing.
To ensure the usability of all developed algorithms and derived knowledge, we integrate our software typically into the open source MATLAB toolbox SciXMiner.
|apl. Prof. Dr. Christian Pylatiuk||pylatiuk∂kit edu|
|Jan Schützke, M.Sc.|
|Yanke Wang||yanke wang∂kit edu|
|Marcel Schilling, M.Sc.||+49 721 608-25739||marcel schilling∂kit edu|
|apl. Prof. Dr. Markus Reischl||+49 721 608-25749||markus reischl∂kit edu|
|Moritz Böhland||+49 721 608-25755
+49 721 608-43531
|moritz boehland∂kit edu|
|Lisa Petani, M.Sc.||+49 721 608-25761||lisa petani∂kit edu|
|2 additional persons visible within KIT only.|