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measurement and interpretation and potential usefulness in human-machine interfaces. They should learn to analyze and formally describe the problems, challenges and potential of using these signals for
Section: FB3
AI in video games, this thesis contributes to the fields of game user research, game AI, machine learning and player modeling within both academia and industry and illustrates significant advances in the
stimuli, their modality, and participants’ response options. Second, signal processing and machine learning methods will be leveraged to identify and differentiate hate speech from other types of speech for
systems Functional safety Hardware-oriented test and hardware-oriented safety Statistical and machine learning techniques for test and reliability System test and reliability Test and simulation of mixed-signal
about inequality in society. The project relies on many existing techniques of AI ranging from deep learning networks to knowledge graphs, but will push their boundaries and develop new techniques all operating
(CTG) with Boolean and categorical data (patient record, knowledge base) using neural networks (deep learning).