The Perspectives article, "Applying Interpretable Machine Learning in Computational Biology -; Pitfalls, Recommendations and ...

Researchers developed TREE, a Transformer-based AI model that integrates multi-omics data and network analysis to identify ...

A study by researchers at the University of Minnesota Twin Cities offers new insights into how alternating corn and soybean ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics). Two central research themes: - ...

New AI model using XGBoost accurately diagnoses prostate cancer in low-PSA patients, reducing biopsy need and enhancing ...

A new approach harnesses machine learning to search for materials to store methane, helping accelerate the adoption of ...

Journal of Machine Learning Research (JMLR), vol ... "Manifold modeling in embedded space: An interpretable alternative to deep image prior." IEEE Transactions on Neural Networks and Learning Systems ...