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ECG dataset for COVID-19 diagnosis
The dataset used in this paper is a collection of ECG images of cardiac and COVID-19 patients. -
Real-world diagnosis problems
The dataset used in the paper is a collection of real-world diagnosis problems, including spreadsheets, circuits, and ontologies. -
ML4H Findings Track Collection: Machine Learning for Health (ML4H) 2023
A synthetic dataset for training a family of Reinforcement Learning (RL) methods to build explainable pathways for the differential diagnosis of anemia, as a primary use case. -
Language-assisted Vision Model Debugger
Vision models with high overall accuracy often exhibit systematic errors on some important subsets of data, posing potential serious safety concerns. Diagnosing such bugs of... -
Stanford dataset
The Stanford dataset consists of a large-scale collection of aerial images and videos of a university campus containing various agents (cars, buses, bicycles, golf carts,...