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Argument summarization: enhancing summary generation and evaluation metrics
(2024)
In the current era of mass digital information, the need for effective argument summarization has become paramount. This thesis explores the domain of argument
summarization, focusing on the development of techniques and ...
Towards accessible healthcare: machine learning-enabled diagnosis of Alzheimer’s disease
(2024)
Alzheimer’s disease poses a critical challenge to public health with an increasing prevalence among the aging population worldwide. The research question is whether machine
learning-based solutions could be a reliable, ...
Exploring name-based bug detection in Python
(2024)
Names of source code elements provide useful contextual information about the code and
development tasks. Prior studies leverage the similarity between the names of arguments
and method parameters to detect bugs that are ...