LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks

Autor: Marco Antonio Gutierrez, Sihem Amer-Yahia, Gabriel Spadon, Jose F. Rodrigues-Jr, Bruno Brandoli

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Information sciences, Information Sciences
Information sciences, Information Sciences, 2021, ⟨10.1016/j.ins.2020.09.024⟩

International audience; The interest for patient trajectory prediction, a sort of computer-aided medicine, has steadily increased with the pace of artificial intelligence innovation. Notwithstanding, the design of effective systems able to predict cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a090d25516445a775ac0e16ed3f28d76
https://doi.org/10.1016/j.ins.2020.09.024

Reconstructing commuters network using machine learning and urban indicators

Autor: Jose F. Rodrigues-Jr, Luiz G. A. Alves, André C. P. L. F. de Carvalho, Gabriel Spadon

Publikováno v: Scientific Reports, Vol 9, Iss 1, Pp 1-13 (2019)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Scientific Reports

Human mobility has a significant impact on several layers of society, from infrastructural planning and economics to the spread of diseases and crime. Representing the system as a complex network, in which nodes are assigned to regions (e.g., a city)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e5d18b41958f30311ebcfd9b626334b
http://link.springer.com/article/10.1038/s41598-019-48295-x

SHARq

Autor: Mirela T. Cazzolato, Lucas C. Scabora, Jose F. Rodrigues-Jr, Gabriel Spadon, Caetano Traina-Jr, Agma J. M. Traina, Daniel S. Kaster

Publikováno v: SAC

Processing navigational graph-like queries in relational databases requires executing several recursive join operations, which are computationally costly. However, when the need for graph-like queries arises, applications often execute a sequence of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff55e9131de7e2c0e435f970afb4d2bc
https://doi.org/10.1145/3412841.3442078

DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification

Autor: Lorraine Goeuriot, Sihem Amer-Yahia, Jose F. Rodrigues-Jr, Bruno Brandoli, Daniel Lima

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Early identification of the type of skin lesion, some of them carcinogenic, is of paramount importance. Currently, the use of Convolutional Neural Networks (CNNs) is the mainline of investigation for the automated analysis of such lesions. Most of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a52f193f85cecdc31815fd4db70d1d2

DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage

Autor: Bruno Brandoli, Patrick Hennessy, Gabriel Spadon, Jose F. Rodrigues-Jr, André Castro Carvalho, Sihem Amer-Yahia, Travis Esau

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Pesticides have been heavily used in the cultivation of major crops, contributing to the increase of crop production over the past decades. However, in many cases their appropriate use and calibration of machines rely upon dated evaluation methodolog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b486795d29993910aa10188915133526