13 hours ago · Simoens P et al (2013) Scalable crowd-sourcing of video from mobile devices. ... Simonyan S, Zisserman A (2014) Very deep convolutional networks for large-scale ...
23 hours ago · TechRxiv (pronounced "tech archive") is an open, moderated preprint server for unpublished research in the areas of engineering, computer science, and related ...
5 hours ago · Algorithms, an international, peer-reviewed Open Access journal.
19 hours ago · ... dataset distillation methods on large-scale datasets. Our code will be available. ... We utilize a large 2D computed tomography dataset for machine learning ...
13 hours ago · This special communication examines the benefits and risks of using large language models to support medical product postmarket surveillance.
6 hours ago · In the case of multidimensional observable data, each dimension quantifies how a specific observable feature varies, such as the wavelength of light absorbed by ...
20 hours ago · Researchers identify the primary challenge in fake news detection as the scarcity of large-scale datasets and the absence of a comprehensive benchmark dataset ...
18 hours ago · Here, we introduce an innovative spatio‐temporal machine learning methodology that harnesses such crowd‐sourced data to quantify phenological dynamics ...
3 hours ago · Description: This product presents information from the Census of Population for various levels of geography, including provinces and territories, census ...
Missing: Scaling | Show results with:Scaling
6 hours ago · ... crowd sourcing and weather radar data. We compare different algorithms based ... This paper describes the preparation of the input datasets (earthquake catalogue ...