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Full-Text Articles in Data Science
Towards Generalizable Machine Learning Models For Computer-Aided Diagnosis In Medicine, Yiyang Wang
Towards Generalizable Machine Learning Models For Computer-Aided Diagnosis In Medicine, Yiyang Wang
College of Computing and Digital Media Dissertations
Hidden stratification represents a phenomenon in which a training dataset contains unlabeled (hidden) subsets of cases that may affect machine learning model performance. Machine learning models that ignore the hidden stratification phenomenon--despite promising overall performance measured as accuracy and sensitivity--often fail at predicting the low prevalence cases, but those cases remain important. In the medical domain, patients with diseases are often less common than healthy patients, and a misdiagnosis of a patient with a disease can have significant clinical impacts. Therefore, to build a robust and trustworthy CAD system and a reliable treatment effect prediction model, we cannot only pursue …
Pathways To The Native Storyteller: A Method To Enable Computational Story Understanding, Aramide O. Kehinde
Pathways To The Native Storyteller: A Method To Enable Computational Story Understanding, Aramide O. Kehinde
College of Computing and Digital Media Dissertations
The primary objective of this thesis is to develop a method that uses machine learning algorithms to enable computational story understanding. This research is conducted with the aim of establishing a system called the Native Storyteller that plans and creates storytelling experiences for human users. The paper first establishes the desired capabilities of the system and then deep dives into how to enable story understanding, which is the core ability the system needs to function. As such, the research places emphasis on natural language processing and its application to solving key problems in this context. Namely, machine representation of story …