Searched for: contributor%3A%22Wang%2C+Huijuan+%28graduation+committee%29%22
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Yin, Z. (author)
Parkinson's disease (PD) diagnosis is based on clinical criteria, i.e. bradykinesia, rest tremor, rigidity, etc. Assessment of the severity of PD symptoms, however, is subject to inter-rater variability. In this paper, we propose a deep learning based automatic PD diagnosis method using videos recorded during the assessment with the Movement...
master thesis 2020
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Yang, Wanning (author)
Community question answering (CQA) platforms provide a social environment for users to share knowledge online. Users can submit complex and subjective questions on CQA platforms and then derive the desired answer from other community users. A large number of user-generated data has been produced by various CQA sites (e.g., Quora, StackExchange)...
master thesis 2019
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Thuraka, Neha (author)
Crowdsensing is a powerful tool to easily sense diverse physical environments by collecting data from an undefined network of people. With advancements in smartphone technology, there has been an increase in the use of mobile applications to perform crowdsensing tasks. However, previous work shows that mobile applications have issues with...
master thesis 2019
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Verdoorn, Joost (author)
Memes are theorized to be the building blocks of culture. Due to a lack of empirical validation, however, the theory of memes — memetics — remains in its infancy. We argue that one of the missing components for such empirical validation is a method for the large-scale identification of memes.<br/><br/>In this thesis, we develop a method for the...
master thesis 2018
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Bapat, Rucha (author)
Chatbots are the text based conversational agents with which users interact in natural language. They are becoming more and more popular with the immense growth in messaging apps and tools to develop text based conversational agents. Despite of advances in Artificial Intelligence and Natural Language Processing, chatbots still struggle in...
master thesis 2017
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