Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Mirela T. Cazzolato"'
Autor:
Felipe Taliar Giuntini, Kaue L. de Moraes, Mirela T. Cazzolato, Luziane de Fatima Kirchner, Maria de Jesus D. Dos Reis, Agma J. M. Traina, Andrew T. Campbell, Jo Ueyama
Publikováno v:
IEEE Access, Vol 9, Pp 93182-93194 (2021)
The way users interact on social media can indicate their well-being. When depressed, people’s feelings tend to be more evident, affecting how users interact and demonstrating their feelings on social media. This paper presents a new approach for t
Externí odkaz:
https://doaj.org/article/64af8f4056574d1e9da5da689ede2c27
Autor:
Felipe Taliar Giuntini, Kaue L. P. de Moraes, Mirela T. Cazzolato, Luziane de Fatima Kirchner, Maria de Jesus D. Dos Reis, Agma J. M. Traina, Andrew T. Campbell, Jo Ueyama
Publikováno v:
IEEE Access, Vol 9, Pp 97621-97635 (2021)
Depression is one of the most growing health disorders, generating social and economic problems. The affective computing models focus on analyzing unique user posts, not observing temporal behavior patterns, which are essential to track changes and t
Externí odkaz:
https://doaj.org/article/5f870a39207849bb99a84095b2e77bc7
Autor:
Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16769b1b741ff505391a288f6362a971
https://doi.org/10.1109/bigdata55660.2022.10020898
https://doi.org/10.1109/bigdata55660.2022.10020898
Autor:
Mirela T. Cazzolato, Lucas C. Scabora, Guilherme F. Zabot, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Real-world applications generate large amounts of images every day. With the generalized use of social media, users frequently share images acquired by smartphones. Also, hospitals, clinics, exhibits, factories, and other facilities generate images w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b8f38d5bf7fd1d47addd289f5bfd6ce
https://doi.org/10.5753/jidm.2022.2328
https://doi.org/10.5753/jidm.2022.2328
Autor:
Jonathan S. Ramos, Erikson J. de Aguiar, Ivar V. Belizario, Marcus V. L. Costa, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
Publikováno v:
2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a05579710b3dd545c758cae83fb16083
https://doi.org/10.1109/cbms55023.2022.00021
https://doi.org/10.1109/cbms55023.2022.00021
Autor:
Mirela T. Cazzolato, Lucas S. Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The amount of data daily generated by different sources grows exponentially and brings new challenges to the information technology experts. The recorded data usually include heterogeneous attribute types, such as the traditional date, numerical, tex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::646d041cfa8dcaaf3e5b8fe06574da9f
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60441144259d1c624d1047e5e64ca861
Autor:
Mirela T. Cazzolato, Lucas S. Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
Publikováno v:
Anais do XXXVI Simpósio Brasileiro de Banco de Dados (SBBD 2021).
With the COVID-19 pandemic, many hospitals have collected Electronic Health Records (EHRs) from patients and shared them publicly. EHRs include heterogeneous attribute types, such as image exams, numerical, textual, and categorical information. Simpl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfe30c8df9d980da28094028a4ffae25
https://doi.org/10.5753/sbbd.2021.17863
https://doi.org/10.5753/sbbd.2021.17863
Autor:
Marco Antonio Gutierrez, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina, Guilherme F. Zabot, Lucas C. Scabora
Publikováno v:
Anais do III Dataset Showcase Workshop (DSW 2021).
In this paper, we present FeatSet, a compilation of visual features extracted from open image datasets reported in the literature. FeatSet has a collection of 11 visual features, consisting of color, texture, and shape representations of the images a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::350cda06f92d2e5677857109208b3147
https://doi.org/10.5753/dsw.2021.17417
https://doi.org/10.5753/dsw.2021.17417
Autor:
Mirela T. Cazzolato, Jamilly Gomes Maciel, Caetano Traina, Agma J. M. Traina, Jonathan S. Ramos, Marcello Henrique Nogueira-Barbosa
Publikováno v:
CBMS
Bone densitometry (DEXA) is the international reference standard to evaluate Bone Mineral Density (BMD) and diagnose osteoporosis. However, DEXA is far from ideal when used to predict fragility fractures, which are strongly related to morbidity and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18c81b72df2f2430bdc3c248e8752225
https://doi.org/10.1109/cbms52027.2021.00089
https://doi.org/10.1109/cbms52027.2021.00089