Advanced search
Start date
Betweenand

Patrícia Rufino Oliveira

CV Lattes GoogleMyCitations


Universidade de São Paulo (USP). Escola de Artes, Ciências e Humanidades (EACH)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Patricia Rufino Oliveira received her Bachelors degree in Computer Science from Universidade Estadual Paulista Júlio de Mesquita Filho (1994), Masters degree in Computer Science with a focus on Artificial Intelligence from Universidade de São Paulo (1997). In 2014, she obtained her Doctorate in Computer Science with a focus on Artificial Intelligence from Universidade de São Paulo. Her current research interest includes machine learning, independent component analysis, computer vision and data mining. (Source: Lattes Curriculum)

Articles published in Pesquisa FAPESP Magazine about the researcher:
Alta productividad 
Research grants
Scholarships in Brazil
Scholarships abroad
FAPESP support in numbers * Updated April 10, 2021
Total / Available in English
Most frequent collaborators in research granted by FAPESP
Contact researcher

Use this Research Supported by FAPESP (BV/FAPESP) channel only to send messages referring to FAPESP-funded scientific projects.


 

 

 

 

Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (3)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Publications3
Citations2
Cit./Article0.7
Data from Web of Science

MALTAROLLO, VINICIUS GONCALVES; KRONENBERGER, THALES; ESPINOZA, GABRIEL ZARZANA; OLIVEIRA, PATRICIA RUFINO; HONORIO, KATHIA MARIA. Advances with support vector machines for novel drug discovery. EXPERT OPINION ON DRUG DISCOVERY, v. 14, n. 1, p. 23-33, . Web of Science Citations: 1. (16/18840-3)

DE ANGELO, RAFAELA MOLINA; ALMEIDA, MICHELL DE OLIVEIRA; DE PAULA, HEBERTH; HONORIO, KATHIA MARIA. Studies on the Dual Activity of EGFR and HER-2 Inhibitors Using Structure-Based Drug Design Techniques. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v. 19, n. 12, . Web of Science Citations: 1. (16/18840-3, 16/24524-7, 18/06680-7)

LIPINSKI, CELIO F.; MALTAROLLO, VINICIUS G.; OLIVEIRA, PATRICIA R.; DA SILVA, ALBERICO B. F.; HONORIO, KATHIA MARIA. Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery. FRONTIERS IN ROBOTICS AND AI, v. 6, . Web of Science Citations: 0. (16/24524-7, 16/18840-3)

Please report errors in researcher information by writing to: cdi@fapesp.br.
X

Report errors in this page


Error details: