Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...

From early engineering work at Getir to co-founding an AI growth intelligence company backed by a16z, Akaoglu's story is ...

Abstract: Image emotion classification is an important computer vision task to extract emotions from images. The methods for image emotion classification (IEC) are primarily based on label or ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

TORONTO — After almost 10 years, the much-anticipated revision of the current classification criteria for axial spondyloarthritis (axSpA) is ready for prime time. An abstract of the modified criteria ...

Abstract: This article introduces a simple framework for depth-augmented contrastive learning (SimDCL), a novel approach to enhance endoscopic image classification by incorporating depth information.

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Dr. James McCaffrey of Microsoft Research presents a simple technique he has used with good success, previously unpublished and without a standard name. The goal of an ordinal classification problem ...