Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)

Open source Artificial Intelligence for COVID-19 detection/early detection. Includes Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN)

proposed early detection method for parkinson's disease using deep learning on MRI dataset

cfDNAPro specializes in standardized and robust cfDNA fragmentomic analysis

This repository contains an implementation of DISC, an algorithm for learning DFAs for multiclass sequence classification.

📊 Multiple Disease Prediction System 🏥 An intelligent healthcare system for predicting and diagnosing multiple diseases using machine learning and data analysis. Empowering early detection and better patient care. Disease Prediction: Predict the likelihood of various diseases, including heart diseases, diabetes, and more.

Classification of Alzheimer's Disease stages from Magnetic Resonance Images using Deep Learning

Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com

A collection of extension methods for validating method arguments in order to spot bugs as quickly as possible.

A Time series Data modelling to forecast Gambling Addiction Signs in Players using K-Means Clustering, ARIMA/SARIMA and LSTM to forecast wagering patterns

Obsolete buildout for the EDRN Public Portal

Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis

EDRN's knowledge using the Resource Description Format (RDF)

Using Image Processing and both classical and brand-new Machine Learning techniques such as SVM, k-NN, XGBoost, and also LSTM; we are trying to predict beforehand the driver's drowsiness and warn him/her by an alert before any crash happened.

Methods for Advance Detection of COVID-19.

Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.

Kvasir-SEG: A Segmented Polyp Dataset

Early Detection of Diabetic Kidney Disease using Contrast Enhanced Ultrasound Perfusion Parameters. Explore perfusion models (Lagged Normal, Log-Normal, Gamma Variate), compare their effectiveness, and analyze their application to diabetic and control cases.

VSPsnap is a collection of R and Python code for Gaussian Process regression in a kriging-like setting (i.e. two features (X,Y) and a target (Z)) - with a focus on SARS-CoV2 data (genomic/IR/FR).

Amburgey SM, AA Yackel Adams, B Gardner, B Lardner, AJ Knox, and SJ Converse. 2021. Tools for increasing visual encounter probabilities for invasive species removal: a case study of brown treesnakes. Neobiota 70:107-122.