Weather prediction systems provide critical information about dangerous storms, deadly heatwaves and potential droughts, ...

We developed statistical and machine learning models to predict premature death from the presence of 17 chronic conditions and the patients’ age at diagnosis. We evaluated models using accuracy, ...

To mitigate this challenge, we investigate how Machine Learning (ML) techniques, including Extreme Gradient Boosting (XGBoost), Convolutional Neural Network (CNN), and Graph Neural Network (GNN) can ...

Machine learning is at the forefront of detecting the impacts of climate change. Researchers utilize AI to identify patterns and anomalies in climate data, which aids in understanding climate ...

The Department of Supply Chain and Business Technology Management is proud to host Dr. Warut Khern-am-nuai, an associate professor in Information Systems at Desautels Faculty of Management, McGill ...

Machine Learning: Prediction, decision and action. The process of machines learning from data unleashes the power of exploding resource. It uncovers what drives people and the actions they take.

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg.