Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Nivio Ziviani"'
Autor:
Adriano Veloso, Nivio Ziviani
Publikováno v:
PLoS ONE, Vol 17, Iss 4, p e0264893 (2022)
Models have gained the spotlight in many discussions surrounding COVID-19. The urgency for timely decisions resulted in a multitude of models as informed policy actions must be made even when so many uncertainties about the pandemic still remain. In
Externí odkaz:
https://doaj.org/article/2007143003cb4d048ac9a9adf11ebc6f
Autor:
Daniella Castro, Araújo, Adriano Alonso, Veloso, Karina Braga, Gomes, Leonardo Cruz, de Souza, Nivio, Ziviani, Paulo, Caramelli
Publikováno v:
Journal of Alzheimer's Disease. 88:549-561
Background: A cheap and minimum-invasive method for early identification of Alzheimer’s disease (AD) pathogenesis is key to disease management and the success of emerging treatments targeting the prodromal phases of the disease. Objective: To devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4541b430062320e19d671d8a2d44a5c
https://doi.org/10.3233/jad-220256
https://doi.org/10.3233/jad-220256
Autor:
Nivio Ziviani, Daniel Ciampi de Andrade, Adriano Veloso, Anderson Bessa Da Costa, Larissa Moreira
Publikováno v:
ACM Transactions on Computing for Healthcare. 2:1-28
Modeling from data usually has two distinct facets: building sound explanatory models or creating powerful predictive models for a system or phenomenon. Most of recent literature does not exploit the relationship between explanation and prediction wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad7445bee254af3ef671c35f9e7479e0
https://doi.org/10.1145/3466781
https://doi.org/10.1145/3466781
Publikováno v:
Automated Software Engineering. 27:369-392
Software defects are well-known in software development and might cause several problems for users and developers aside. As a result, researches employed distinct techniques to mitigate the impacts of these defects in the source code. One of the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f03de95405f01feacc031501cd0ba8e
https://doi.org/10.1007/s10515-020-00277-4
https://doi.org/10.1007/s10515-020-00277-4
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 13:1-27
E-news readers have increasingly at their disposal a broad set of news articles to read. Online newspaper sites use recommender systems to predict and to offer relevant articles to their users. Typically, these recommender systems do not leverage use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a5848153c7865548fd4e5764d9b2b3b
https://doi.org/10.1145/3362695
https://doi.org/10.1145/3362695
Autor:
Marlon Dias, Alberto Ueda, Nivio Ziviani, João Mateus de Freitas Veneroso, Edmundo de Souza e Silva, Berthier Ribeiro-Neto, Sabir Ribas
Publikováno v:
Scientometrics. 121:1269-1291
The notions of reputation and popularity in academia are critical for taking decisions on research grants, faculty position tenure, and research excellence awards. These notions are almost always associated with the publication track records of resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbeb35b190f142948ecc45c4b768881c
https://doi.org/10.1007/s11192-019-03247-0
https://doi.org/10.1007/s11192-019-03247-0
Publikováno v:
Artificial Intelligence in Medicine. 128:102283
The aim of this study is to build machine learning models to predict severe complications using administrative and clinical elements that are collected immediately after patient admission to the intensive care unit (ICU). Risk models are of increasin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ceccee0982752381518bef440b22103
https://doi.org/10.1016/j.artmed.2022.102283
https://doi.org/10.1016/j.artmed.2022.102283
Autor:
Daniella Araujo, Paulo Caramelli, Nivio Ziviani, Karina Gomes, Adriano Veloso, Leonardo Souza
Publikováno v:
Dementia & Neuropsychologia.
Background: Alzheimer’s disease (AD) is a pathological process that begins many years prior to the emergence of symptoms. Thus, an effective risk model for AD should aim at detecting at-risk individuals in the prodromal stage, when treatments and l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b5b6f1bc6f61cbb08f85e50cf0a373e
https://doi.org/10.5327/1980-5764.rpda050
https://doi.org/10.5327/1980-5764.rpda050
Autor:
Larissa Iulle Moreira, Anderson Bessa da Costa, Nivio Ziviani, Manoel Jacobsen Teixeira, Jefferson Rosi Jr, Marcelo Nishio, Daniella Castro Araujo, Adriano Veloso, Daniel Ciampi de Andrade
Publikováno v:
São Paulo Medical Journal.
Chronic Pain (CP) affects one in five people in developing countries, and is the most frequent reason motivating medical visits. Some CP types rank as the most common symptomatic diseases affecting humans worldwide (eg, tension-type headache), and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed5781d89ef98b68b893e96c0f4f43b4
https://doi.org/10.5327/1516-3180.745
https://doi.org/10.5327/1516-3180.745
Publikováno v:
SBQS
Most software systems must evolve to cope with stakeholders’ requirements and fix existing defects. Hence, software defect prediction represents an area of interest in both academia and the software industry. As a result, predicting software defect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbb500215e4635baf596507da1f3b975
https://doi.org/10.1145/3439961.3439979
https://doi.org/10.1145/3439961.3439979