Priscila T. M. Saito
Priscila T. M. Saito
Professor of Computer Science, Federal University of Sao Carlos, DC-UFSCar
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Cited by
Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants
TC Negri, WAL Alves, PH Bugatti, PTM Saito, DS Domingues, ...
Briefings in bioinformatics 20 (2), 682-689, 2019
Robust active learning for the diagnosis of parasites
PTM Saito, CTN Suzuki, JF Gomes, PJ de Rezende, AX Falcao
Pattern Recognition 48 (11), 3572-3583, 2015
Breast cancer diagnosis through active learning in content-based image retrieval
RS Bressan, PH Bugatti, PTM Saito
Neurocomputing 357, 1-10, 2019
An active learning paradigm based on a priori data reduction and organization
PTM Saito, PJ de Rezende, AX Falcao, CTN Suzuki, JF Gomes
Expert Systems with Applications 41 (14), 6086-6097, 2014
Superpixel-based interactive classification of very high resolution images
JE Vargas, PTM Saito, AX Falcao, PJ De Rezende, JA Dos Santos
2014 27th SIBGRAPI Conference on Graphics, Patterns and Images, 173-179, 2014
TERL: classification of transposable elements by convolutional neural networks
MHP da Cruz, DS Domingues, PTM Saito, AR Paschoal, PH Bugatti
Briefings in bioinformatics 22 (3), bbaa185, 2021
Classification of texture based on bag-of-visual-words through complex networks
GVL de Lima, PTM Saito, FM Lopes, PH Bugatti
Expert Systems with Applications 133, 215-224, 2019
Active semi-supervised learning for biological data classification
G Camargo, PH Bugatti, PTM Saito
PLoS One 15 (8), e0237428, 2020
Contributing to agriculture by using soybean seed data from the tetrazolium test
DF Pereira, PH Bugatti, FM Lopes, ALSM Souza, PTM Saito
Data in Brief 23, 103652, 2019
A complex network-based approach to the analysis and classification of images
GVL de Lima, TR Castilho, PH Bugatti, PTM Saito, FM Lopes
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015
Choosing the most effective pattern classification model under learning-time constraint
PTM Saito, RYM Nakamura, WP Amorim, JP Papa, PJ de Rezende, ...
PloS one 10 (6), e0129947, 2015
A data reduction and organization approach for efficient image annotation
PTM Saito, PJ de Rezende, AX Falcão, CTN Suzuki, JF Gomes
Proceedings of the 28th annual ACM symposium on applied computing, 53-57, 2013
DOCToR: the role of deep features in content-based mammographic image retrieval
RS Bressan, DHA Alves, LM Valerio, PH Bugatti, PTM Saito
2018 IEEE 31st International Symposium on Computer-Based Medical Systems …, 2018
Improving active learning with sharp data reduction
PTM Saito, PJ de Rezende, AX Falcão, CTN Suzuki, JF Gomes
WSCG'2012, 2012
Classification of transposable elements by convolutional neural networks
MHP da Cruz, PTM Saito, AR Paschoal, PH Bugatti
Artificial Intelligence and Soft Computing: 18th International Conference …, 2019
Exploring active learning based on representativeness and uncertainty for biomedical data classification
RS Bressan, G Camargo, PH Bugatti, PTM Saito
IEEE journal of biomedical and health informatics 23 (6), 2238-2244, 2018
Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples
LM Peres, S Barbon Jr, EM Fuzyi, APAC Barbon, DF Barbin, PTM Saito, ...
Computers and electronics in agriculture 150, 455-464, 2018
An image analysis framework for effective classification of seed damages
DF Pereira, PTM Saito, PH Bugatti
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 61-66, 2016
An analysis of parallel approaches for a mobile robotic self-localization algorithm
PTM Saito, RJ Sabatine, DF Wolf, K Branco
International Journal of Future Generation Communication and Networking 2 (4 …, 2009
A parallel approach for mobile robotic self-localization
PTM Saito, DF Wolf, BA Mendonça, KR Branco, RJ Sabatine
2009 Fourth International Conference on Computer Sciences and Convergence …, 2009
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