Speaker
Description
In this talk we cover some research areas at our department where we use machine learning as our main tool. We provide insights to these by discussing some of the key projects in details. More particularly, we discuss works in the conjunction of machine learning and data collection and analysis, image- and natural language processing.
Regarding data collection and analysis, we present a pending project proposal on the privacy protection in the smart home network environment using federated learning, and we share key takeaways on how we do smart data collection in the ZalaZone tracker system. In image processing, we present our results related to enhancing medical support for heart and vascular diseases and also how we apply machine learning to control weight and quality of intermediate products in medicine manufacturing. Finally, we present a work on machine comprehension based on semantic parsing using graph-transformations.
