An Awesome List of the latest time series papers and code from top AI venues.

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)

cfDNAPro specializes in standardized and robust cfDNA fragmentomic analysis

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

Kvasir-SEG: A Segmented Polyp Dataset

This project develops a predictive model to identify early signs of mental health issues in adolescents using social media activity, school performance, health records, and an AI chatbot. It analyzes emotional tone, academic changes, and health data, offering personalized recommendations and resources for mental wellness.

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

This project primarily focuses on addressing the issue of early detection of learning disabilities in students, with a specific focus on dyslexia and attention deficit hyperactivity disorder (ADHD).

This project uses YOLO for real-time leukemia detection in blood samples and CNNs for classifying brain hemorrhages in MRI scans. It aims to support faster, more accurate medical diagnostics through deep learning.

Built an end-to-end deep learning pipeline using ResNet-50 to classify retinal images into five stages of Diabetic Retinopathy. Applied transfer learning, image preprocessing, and AUC-based evaluation on the APTOS 2019 Kaggle dataset, achieving a 94% validation AUC—offering real-world potential in clinical diagnosis automation.

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

📊 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.

This repository houses a workflow that uses biological feature trees to segregate cancer RNA-seq datasets, then it trains machine learning models to predict the presence or absence of known, cancer-associated DNA-level mutations.

Breast cancer histopathology image segmentation using U-Net. This repository implements U-Net for accurate segmentation of cancerous regions. It includes data augmentation, mixed precision training, checkpointing, and evaluation metrics like Dice score to improve model performance.

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

Multiclass Skin lesion localization and Detection with YOLOv7-XAI Framework with explainable AI

Semptomlardan Yola Çıkarak Diyabet Riskinin Tahmini: ML Modellerinin Performans Karşılaştırması