Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

In sleep health, Dr. Phang's team also developed a Multiscale Temporal Convolutional Neural Network (MTCNN) algorithm in the Journal of Neural Engineering that achieves 88.24% accuracy in sleep-stage ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

We investigate the use of machine learning techniques in predicting task effort and duration in software projects to assess their applicability and effectiveness in production environments, identify ...

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.