Roberta B. Oliveira

Orcid: 0000-0002-5373-9402

According to our database1, Roberta B. Oliveira authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Spending pattern visualization using unsupervised machine learning.
Proceedings of the 38th Brazilian Symposium on Databases, 2023

2022
Mundo Bit Byte - A digital mobile game to disseminate female personalities that made history in Computing.
J. Interact. Syst., December, 2022

Gender Diversity in STEM Graduate Programs at the University of Brasília in Brazil.
Proceedings of the IEEE Frontiers in Education Conference, 2022

2021
Computing for girls in elementary school in Brazil: A mapping of literature.
Proceedings of the XIII Congress of Latin American Women in Computing 2021 (LAWCC 2021) co-located with XLVII Latin American Computer Conference (CLEI 2021), 2021

Sense of Belonging of Female Undergraduate Students in Introductory Computer Science Courses at University of Brasília in Brazil.
Proceedings of the IEEE Frontiers in Education Conference, 2021

Convolutional Neural Networks Applied for Skin Lesion Segmentation.
Proceedings of the XLVII Latin American Computing Conference, 2021

2020
The Intellectual Sense of Belonging and Self-efficacy in the Introduction to Computer Science Courses at University of Brasilia in Brazil.
Proceedings of the IEEE Frontiers in Education Conference, 2020

2019
Computational diagnosis of skin lesions from dermoscopic images using combined features.
Neural Comput. Appl., 2019

2018
Computational methods for pigmented skin lesion classification in images: review and future trends.
Neural Comput. Appl., 2018

2017
Pattern Recognition in Pigmented Skin Lesion Images using Ensemble Methods
PhD thesis, 2017

Skin lesion computational diagnosis of dermoscopic images: Ensemble models based on input feature manipulation.
Comput. Methods Programs Biomed., 2017

2016
A computational approach for detecting pigmented skin lesions in macroscopic images.
Expert Syst. Appl., 2016

Computational methods for the image segmentation of pigmented skin lesions: A review.
Comput. Methods Programs Biomed., 2016


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