Determining Car Accident Severity using Machine Learning from recorded accidents in the US 2016-2020.
-
Updated
Oct 22, 2020 - Jupyter Notebook
Determining Car Accident Severity using Machine Learning from recorded accidents in the US 2016-2020.
Works with npm audit to check vulnerability severities and pass/fail based on a threshold
AIH metric for ordinal harm assessment. Experiments performed on AIAAIC dataset as a benchmark - final preprocessed data are given in the "results" folder.
Machine Learning Model for Severity of Airplane Accidents.
[AIIM] Recall & Precision results of the UTA7 statistical analysis.
This project focused on the mapping of the host-genetics factors determining COVID-19 severity using Machine learning approaches (supervised, unsupervised Machine learning methods, Pathway signaling processes, and Open Targets web-based Platform). Our study utilized the whole-exome sequencing genome dataset of 2000 European descent patients coll…
Rating severity and Multilingual toxicity classification using advanced transformer models with TPU support for faster training and robust performance.
Deep learning pipeline for knee osteoarthritis severity assessment from X-rays using ordinal classification.
[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.
Tool used to gauge risk of Covid-19 transmission at schools on a county-wide level.
A web-based tool to visualize reports generated by "npm audit"
A django web app that predicts the disease and severity based on the symptoms collected from user
Add a description, image, and links to the severity topic page so that developers can more easily learn about it.
To associate your repository with the severity topic, visit your repo's landing page and select "manage topics."