Completed

This project aims to localize try-catch blocks in Python source code using transfer learning.

A static site generator is a tool that generates a full static HTML website based on raw data and a set of templates. Essentially, a static site generator automates the task of coding individual HTML pages and gets those pages ready to serve to users ahead of time. Because these HTML pages are pre-built, they can load very quickly in users' browsers. Static site generators are an alternative to content management systems (CMS) — another type of tool for managing web content, generating webpages, and implementing templates.

This is a generic project call to develop high-quality C++ libraries.

Example projects:
- Interval container library (see Boost ICL)
- Cascaded configuration library (see CSS for what cascade means + JSON for configuration)
- Regular expression matcher
- Other

The correct functionality will be graded with CC. For AA, your project must also include:

This is an interdisciplinary project that aims to classify the degree to which of bladder lesions invade the bladder walls, which is critical to assessing the patient's treatment.
The project is inpired by  VI-RADS (a standardization of MRI acquisition and interpretation that yields a score in range [1, 5]) that has been shown to be effective in medical studies.

In this project, deep learning methods will be explored as a classifier of the scale of bladder lesions. It includes elicitation sessions with radiologists.

Wearable devices can capture multimodal data corresponding to a person’s activity, stress, sleep information to measure and improve health and well-being. Besides device measurement, there are also survey data as another information gathering methodology.