Results 21 to 30 of about 703,591 (347)
COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease
Scientific Data, 2022 Measurement(s) Epidemiology Technology Type(s) Python Factor Type(s) cases • deaths • vaccinations Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment anthropogenic environment Sample Characteristic - Location North America •
Oscar Wahltinez +11 more
doaj +1 more source
Learning few-shot imitation as cultural transmission
Nature Communications, 2023 Cultural transmission is the domain-general social skill that allows agents to acquire and use information from each other in real-time with high fidelity and recall. It can be thought of as the process that perpetuates fit variants in cultural evolution.
Avishkar Bhoopchand +17 more
doaj +1 more source
Scientific Reports, 2021 Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions.
Zaid Nabulsi +22 more
doaj +1 more source
Soli-enabled noncontact heart rate detection for sleep and meditation tracking
Scientific Reports, 2023 Heart rate (HR) is a crucial physiological signal that can be used to monitor health and fitness. Traditional methods for measuring HR require wearable devices, which can be inconvenient or uncomfortable, especially during sleep and meditation ...
Luzhou Xu +19 more
doaj +1 more source
Deep learning for twelve hour precipitation forecasts
Nature Communications, 2022 Can AI learn from atmospheric data and improve weather forecasting? The neural network MetNet-2 achieves this by forecasting the fast changing variable of precipitation up to 12 h ahead more accurately and efficiently than traditional models based on ...
Lasse Espeholt +11 more
doaj +1 more source
Customization scenarios for de-identification of clinical notes
BMC Medical Informatics and Decision Making, 2020 Background Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been ...
Tzvika Hartman +18 more
doaj +1 more source
Deciphering clinical abbreviations with a privacy protecting machine learning system
Nature Communications, 2022 Patient notes contain shorthand and abbreviations that may be jargon or clinical vernacular. Here the authors train large machine learning models on public web data to decode such text by replacing abbreviations with their meanings.
Alvin Rajkomar +8 more
doaj +1 more source
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation [PDF]
Transactions of the Association for Computational Linguistics, 2016 We propose a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages. Our solution requires no changes to the model architecture from a standard NMT system but instead introduces an artificial token ...
Melvin Johnson +11 more
semanticscholar +1 more source
Google Earth Engine: A Global Analysis and Future Trends
Remote Sensing, 2023 The continuous increase in the volume of geospatial data has led to the creation of storage tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform that facilitates geoprocessing, making it a tool of great interest to the
A. Velástegui-Montoya +5 more
semanticscholar +1 more source
Dermatology Online Journal, 2018 Google+ sets itself apart from other social media platforms through a number of unique features, including search engine optimization services and high user satisfaction. The purpose of this study was to evaluate the presence of dermatological entities on Google+.
Hill, Mary K +3 more
openaire +4 more sources