Priscila Tiemi Maeda Saito

13 papers B 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
ReAL-YOLO: Reinforcement-Driven Active Learning for Training YOLO Object Detectors.
VISAPP (2)
Gabriel Souto Ferrante, Priscila Tiemi Maeda Saito
2024 J jnl
Automatic generation of difficulty maps for datasets using neural network.
Multim. Tools Appl.
Silvio Ricardo Rodrigues Sanches, Elton Custódio Junior, Cléber Gimenez Corrêa, Claiton de Oliveira, Valdinei Freire, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti
2021 — conf
Active Learning Strategies and Convolutional Neural Networks forMammogram Classification.
ICAISC (2)
João Marcelo Tozato, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
2021 J jnl
Assessing Active Learning Strategies to Improve the Quality Control of the Soybean Seed Vigor.
IEEE Trans. Ind. Electron.
Douglas Felipe Pereira, Pedro Henrique Bugatti, Fabrício Martins Lopes, André Luis Siqueira Marques de Souza, Priscila Tiemi Maeda Saito
2021 J jnl
TERL: classification of transposable elements by convolutional neural networks.
Briefings Bioinform.
Murilo Horacio Pereira da Cruz, Douglas Silva Domingues, Priscila Tiemi Maeda Saito, Alexandre Rossi Paschoal, Pedro Henrique Bugatti
2020 — conf
Automatic Visual Quality Assessment of Biscuits Using Machine Learning.
ICAISC (2)
Mardlla de Sousa Silva, Luigi Freitas Cruz, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
2020 — conf
DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution.
ICAISC (1)
Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti
2019 — conf
DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification.
MLDM (2)
Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti
2019 J jnl
Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification.
IEEE J. Biomed. Health Informatics
Rafael Staiger Bressan, Guilherme Camargo, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
2019 J jnl
Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants.
Briefings Bioinform.
Tatianne da Costa Negri, Wonder Alexandre Luz Alves, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito, Douglas Silva Domingues, Alexandre Rossi Paschoal
2018 J jnl
Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples.
Comput. Electron. Agric.
Louise Manha Peres, Sylvio Barbon Junior, Estefânia Mayumi Fuzyi, Ana Paula A. C. Barbon, Douglas Fernandes Barbin, Priscila Tiemi Maeda Saito, Nayara Andreo, Ana Maria Bridi
2017 B conf
Towards an Effective and Efficient Learning for Biomedical Data Classification.
CBMS
Guilherme Camargo, Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
2009 — conf
Parallel implementation of mobile robotic self-localization.
ICHIT
Priscila Tiemi Maeda Saito, Denis Fernando Wolf, Kalinka Regina Lucas Jaquie Castelo Branco, Ricardo José Sabatine