Multi-view learning is gradually becoming a well-established domain within machine learning that tackles problems involving the availability of multiple views or sources of data. Existing multi-view ...

This review explores how multi-source data-driven machine learning is transforming lung cancer care, from early screening and ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental capacity analysis with image feature transformation and a hybrid ...

Quantum machine learning (QML), also called quantum-enhanced machine learning, blends the computing power of quantum systems with the increasing computing demands of ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

This talk addresses the challenge of machine learning generalization under heavy-tailed distributions, providing a ...