EurekAlert!

An interpretable deep learning modeling architecture considering process underlying logics reveals a promising way to the intelligent chemical industry

Intelligent manufacturing is one of the most important strategies towards the upgradation of chemical industry. The deep learning modeling technology acts as a crucial role in this industry ...
Simon Fraser University

Interpretable Deep Learning for Medical Imaging

Project Team: Diane Gromala (Interactive Arts and Technology, SFU), Ghassan Hamarneh (Computing Science, SFU), Sheelagh Carpendale (Computing Science, SFU), Weina Jin (Interactive Arts and Technology, ...
Analytics Insight

Best Tools to Visualize and Understand Machine Learning Models: Top Picks

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
News Medical

Guidelines for using interpretable machine learning methods in computational biology

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...
EurekAlert!

Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...