Priscila Tiemi Maeda Saito

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 11

Top Topics

Biomedical Data

Temporal Resolution

Active Learning Strategies

Top Venues

Briefings Bioinform.

Comput. Electron. Agric.

Publications

Silvio Ricardo Rodrigues Sanches, Elton Custódio Junior, Cléber Gimenez Corrêa, Claiton de Oliveira, Valdinei Freire, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti
Automatic generation of difficulty maps for datasets using neural network. Multim. Tools Appl. 83 (25) (2024)
João Marcelo Tozato, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
Active Learning Strategies and Convolutional Neural Networks forMammogram Classification. ICAISC (2) (2021)
Murilo Horacio Pereira da Cruz, Douglas Silva Domingues, Priscila Tiemi Maeda Saito, Alexandre Rossi Paschoal, Pedro Henrique Bugatti
TERL: classification of transposable elements by convolutional neural networks. Briefings Bioinform. 22 (3) (2021)
Douglas Felipe Pereira, Pedro Henrique Bugatti, Fabrício Martins Lopes, André Luis Siqueira Marques de Souza, Priscila Tiemi Maeda Saito
Assessing Active Learning Strategies to Improve the Quality Control of the Soybean Seed Vigor. IEEE Trans. Ind. Electron. 68 (2) (2021)
Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti
DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution. ICAISC (1) (2020)
Mardlla de Sousa Silva, Luigi Freitas Cruz, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
Automatic Visual Quality Assessment of Biscuits Using Machine Learning. ICAISC (2) (2020)
Tatianne da Costa Negri, Wonder Alexandre Luz Alves, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito, Douglas Silva Domingues, Alexandre Rossi Paschoal
Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants. Briefings Bioinform. 20 (2) (2019)
Rafael Staiger Bressan, Guilherme Camargo, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti
DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification. MLDM (2) (2019)
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
Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples. Comput. Electron. Agric. 150 (2018)
Guilherme Camargo, Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
Towards an Effective and Efficient Learning for Biomedical Data Classification. CBMS (2017)
Priscila Tiemi Maeda Saito, Denis Fernando Wolf, Kalinka Regina Lucas Jaquie Castelo Branco, Ricardo José Sabatine
Parallel implementation of mobile robotic self-localization. ICHIT (2009)