After successfully defending his master thesis entitled “A pipeline for named entity extraction from scarcely annotated and noisy text documents”, Teodor Stoev has joined the CoMSA²t team. He works in the project BehavE where he deals with behaviour analysis from heterogeneous data sources, data fusion, and automatic generation of situation […]
We are happy to announce that Yi-Jie Lin successfully defended his master thesis entitled “Identification of Different Persons by Applying Machine Learning Methods on Odor Patterns”. The thesis investigates methods for detecting the identity of a person based on their smell measured with odor sensors.