Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

Using attention-based multi-instance learning to aggregate tile embeddings to train an MLP model was optimal for the UNI and ...

The powerful chemotherapy drug cisplatin has been used since the late 1970s to treat a variety of cancers. It's highly ...

Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a ...

Researchers from Berlin University of Applied Sciences and Technology, University of Duisburg-Essen, and Einstein Center ...

Artificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in ...

Machine learning has become an essential tool for many industries looking to harness the power of artificial intelligence. However, getting machine learning models from experimental phases to ...

Researchers used machine learning and UK Biobank data to identify predictors of subjective tinnitus presence and severity.

Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.

Researchers at Rice University have developed a new machine learning ... models either miss the tiny details or are too ...