Abstract: Automatic sleep stage classification is an important task to assist experts to perform diagnosis of sleep-related disorders. In supervised learning setting, the availability of a large ...

Councilman Albus Brooks wants to send this message to the Colorado legislature: The city of... Copyright 2026 The Denver Post. All rights reserved. The use of any ...

US Judge Ends Defendant's Supervised Release Term Early Under New Guidance Despite Drug Use In what he said was his first opportunity to apply a newly enacted section of guidelines from the U.S.

First, we pretrained the encoder of a transformer-based network using a self-supervised approach on unlabeled abdominal computed tomography images. Subsequently, we fine-tuned the segmentation network ...

Lev Facher covers the U.S. addiction and overdose crisis. OnPoint NYC, the nonprofit that was the first in the nation to openly offer supervised drug consumption services, celebrated its fourth ...

A reproducible, scalable and data-driven workflow for Sentinel-2 land cover classification — outperforming traditional desktop tools like QGIS SCP.

Speaking at a recent conference panel, officials identified a top use case on their wish list: assisting with the classification of records and the authorization to access those records. “I would ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Flash flood susceptibility mapping at the sub-basin level helps identify areas prone to sudden flooding events. This information is crucial for hazard assessment, disaster management, and planning ...