Face Mask Detection - ResNet, OpenCV

Many measurements have been taken to tackle the COVID-19 pandemic. Among which, wearing a face mask is one way to prevent spreading the virus. This work aims to detect if a person is wearing a mask or not. With this objective, a machine learning model is developed, which leverages transfer learning to detect mask. For collecting human faces with the mask, a subset (1000 images) of the MAFA dataset is used.

April 7, 2017

TutVis: A Tool to Visualize Tutorials - Topic Modeling(LDA), Random Forest, Angular js

Online text and video tutorials are among the most popular and heavily used resources for learning feature-rich software applications (e.g., Photoshop, Weka, AutoCAD, Fusion 360). However, when searching, users can find it difficult to assess whether a tutorial is designed for their level of expertise. TutVis stands for tutorial visualization, which is a Photoshop tutorial browsing system that provides auto-generated information to assist users in the tutorial searching and selection. The provided information is as follows: difficulty level (advanced/beginner), topics covered, length, text complexity, command usage ratio.

April 7, 2017

Automatic Topic Extraction from Documents - LDA, Top2Vec

The objective is to develop an automated tool, which can find out topics from any article. Different topic modeling techniques are investigated for this topic extraction task. For the investigation, yahoo answer dataset has been chosen. The dataset has ~1.5M question-answer pairs. Only 60,000 samples has been randomly chosen from the data. From the selected data, only the answers are used to train the models. The models are trained using LDA and Top2Vec.