Results 21 to 30 of about 662,370 (318)

Learning by googling

open access: yesACM SIGKDD Explorations Newsletter, 2004
The goal of giving a well-defined meaning to information is currently shared by endeavors such as the Semantic Web as well as by current trends within Knowledge Management. They all depend on the large-scale formalization of knowledge and on the availability of formal metadata about information resources.
Cimiano, Philipp, Staab, Steffen
openaire   +1 more source

An exploratory study of Google Scholar [PDF]

open access: yes, 2007
Purpose – This paper discusses the new scientific search service Google Scholar (GS). This search engine, intended for searching exclusively scholarly documents, will be described with its most important functionality and then empirically tested.
Walter, Anne-Kathrin, Mayr, Philipp
core   +1 more source

Scalable and accurate deep learning with electronic health records

open access: yesnpj Digital Medicine, 2018
Artificial intelligence: Algorithm predicts clinical outcomes for hospital inpatients Artificial intelligence outperforms traditional statistical models at predicting a range of clinical outcomes from a patient’s entire raw electronic health record (EHR).
Alvin Rajkomar   +34 more
doaj   +1 more source

Three options for citation tracking: Google Scholar, Scopus and Web of Science [PDF]

open access: yes, 2006
Background: Researchers turn to citation tracking to find the most influential articles for a particular topic, and to see how often their own published papers are cited.
Bakkalbasi, Nisa   +5 more
core   +1 more source

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan

open access: yesnpj Digital Medicine, 2021
The COVID-19 pandemic has highlighted the global need for reliable models of disease spread. We propose an AI-augmented forecast modeling framework that provides daily predictions of the expected number of confirmed COVID-19 deaths, cases, and ...
Sercan Ö. Arık   +28 more
doaj   +1 more source

Power of data in quantum machine learning

open access: yesNature Communications, 2021
Expectations for quantum machine learning are high, but there is currently a lack of rigorous results on which scenarios would actually exhibit a quantum advantage.
Hsin-Yuan Huang   +6 more
doaj   +1 more source

The Excitement of Google Scholar, the Worry of Google Print [PDF]

open access: yesBiomedical Digital Libraries, 2005
Abstract In late 2004 Google announced two major projects, the unveiling of Google Scholar and a major expansion of the Google Print digitization program. Both projects have generated discussion within the library and research communities, and Google Print has received significant media attention.
openaire   +2 more sources

COVID-19 Community Mobility Reports

open access: yes, 2021
Grafieken waar over een aantal weken wordt weergegeven hoe de drukte rond sectoren zoals supermarkten en parken veranderd. Deze grafieken zijn gebaseerd op GPS data van burgers verzameld door Google.
Google
core  

The Success of Google Search, the Failure of Google Health and the Future of Google Plus [PDF]

open access: yes, 2013
What makes an e-commerce company successful? In 2011 24% of venture capital in the US went into Internet companies adding up to a total of $6.9 billion (PwC & NVCA, 2011). With such high stakes the question of e-commerce success is more topical than ever.
Landeweerd, Marcel   +2 more
openaire   +3 more sources

A machine-learning based objective measure for ALS disease severity

open access: yesnpj Digital Medicine, 2022
Amyotrophic Lateral Sclerosis (ALS) disease severity is usually measured using the subjective, questionnaire-based revised ALS Functional Rating Scale (ALSFRS-R).
Fernando G. Vieira   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy