I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

In this paper, an interactive multitask learning method for Chinese text sentiment classification is proposed. Here, the classic BiLSTM + attention + CRF model is used to obtain full use of the ...

In now days, deep learning has become a prominent and emerging research area in computer vision applications. Deep learning permits the multiple layers models for computation to learn representations ...