Priscila T. M. Saito

According to our database, Priscila T. M. Saito authored at least 39 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automatic generation of difficulty maps for datasets using neural network.

Silvio Ricardo Rodrigues Sanches, Elton Custódio Junior, Cléber Gimenez Corrêa, Claiton de Oliveira, Valdinei Freire, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti

Multim. Tools Appl., July, 2024

Soybean seed vigor classification through an effective image learning-based approach.

Marcelo Souza, William C. Horikoshi, Priscila T. M. Saito, Pedro Henrique Bugatti

Multim. Tools Appl., February, 2024

2023

Image Classification Through Graph Neural Networks and Random Walks.

William S. M. Silva, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022

Method for selecting representative videos for change detection datasets.

Claudinei M. Silva, Katharina A. I. Rosa, Pedro Henrique Bugatti, Priscila T. M. Saito, Cléber Gimenez Corrêa, Roberto Sadao Yokoyama, Silvio Ricardo Rodrigues Sanches

Multim. Tools Appl., 2022

Pedestrian traffic lights and crosswalk identification.

Ronaldo S. Moura, Silvio Ricardo Rodrigues Sanches, Pedro Henrique Bugatti, Priscila T. M. Saito

Multim. Tools Appl., 2022

Classification of Skin Lesion through Active Learning Strategies.

Lucas G. Batista, Pedro Henrique Bugatti, Priscila T. M. Saito

Comput. Methods Programs Biomed., 2022

Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networks.

Cristiano N. de O. Bassani, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021

Assessing Active Learning Strategies to Improve the Quality Control of the Soybean Seed Vigor.

Douglas Felipe Pereira, Pedro Henrique Bugatti, Fabrício Martins Lopes, André Luis Siqueira Marques de Souza, Priscila Tiemi Maeda Saito

IEEE Trans. Ind. Electron., 2021

TERL: classification of transposable elements by convolutional neural networks.

Murilo Horacio Pereira da Cruz, Douglas Silva Domingues, Priscila Tiemi Maeda Saito, Alexandre Rossi Paschoal, Pedro Henrique Bugatti

Briefings Bioinform., 2021

Video Action Classification through Graph Convolutional Networks.

Felipe F. Costa, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Active Learning Strategies and Convolutional Neural Networks forMammogram Classification.

João Marcelo Tozato, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito

Proceedings of the Artificial Intelligence and Soft Computing, 2021

Contextual Image Classification Through Fine-Tuned Graph Neural Networks.

Walacy S. Campos, Luis G. Souza, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

Automatic Visual Quality Assessment of Biscuits Using Machine Learning.

Mardlla de Sousa Silva, Luigi Freitas Cruz, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito

Proceedings of the Artificial Intelligence and Soft Computing, 2020

DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution.

Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification.

Rafael Staiger Bressan, Guilherme Camargo, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito

IEEE J. Biomed. Health Informatics, 2019

Breast cancer diagnosis through active learning in content-based image retrieval.

Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila T. M. Saito

Neurocomputing, 2019

Classification of texture based on Bag-of-Visual-Words through complex networks.

Geovana V. L. de Lima, Priscila T. M. Saito, Fabrício Martins Lopes, Pedro Henrique Bugatti

Expert Syst. Appl., 2019

HiCoRe: Visual Hierarchical Context-Reasoning.

Pedro Henrique Bugatti, Priscila T. M. Saito, Larry S. Davis

CoRR, 2019

Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants.

Tatianne da Costa Negri, Wonder Alexandre Luz Alves, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito, Douglas Silva Domingues, Alexandre Rossi Paschoal

Briefings Bioinform., 2019

An Intelligent System to Enhance the Productivity and Sustainability in Soybean Crop Enterprises.

Douglas Felipe Pereira, Pedro Henrique Bugatti, Fabrício Martins Lopes, André Luis Siqueira Marques de Souza, Priscila T. M. Saito

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification.

Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Classification of Transposable Elements by Convolutional Neural Networks.

Murilo Horacio Pereira da Cruz, Priscila T. M. Saito, Alexandre Rossi Paschoal, Pedro Henrique Bugatti

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Towards Practical Computer Vision in Teaching and Learning of Image Processing Theories.

Lucas de O. Alves, Luigi F. Cruz, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the IEEE Frontiers in Education Conference, 2019

DeepMammo: Deep Transfer Learning for Lesion Classification of Mammographic Images.

Lucas M. Valério, Daniel H. A. Alves, Luigi F. Cruz, Pedro Henrique Bugatti, Claiton de Oliveira, Priscila T. M. Saito

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples.

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

Comput. Electron. Agric., 2018

DOCToR: The Role of Deep Features in Content-Based Mammographic Image Retrieval.

Rafael Staiger Bressan, Daniel H. A. Alves, Lucas M. Valério, Pedro Henrique Bugatti, Priscila T. M. Saito

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017

Going Deeper on BioImages Classification: A Plant Leaf Dataset Case Study.

Daniel H. A. Alves, Luís F. Galonetti, Claiton de Oliveira, Pedro Henrique Bugatti, Priscila T. M. Saito

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Towards an Effective and Efficient Learning for Biomedical Data Classification.

Guilherme Camargo, Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016

An image analysis framework for effective classification of seed damages.

Douglas Felipe Pereira, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2015

Robust active learning for the diagnosis of parasites.

Priscila T. M. Saito, Celso T. N. Suzuki, Jancarlo F. Gomes, Pedro Jussieu de Rezende, Alexandre X. Falcão

Pattern Recognit., 2015

A Novel Framework for Content-Based Image Retrieval Through Relevance Feedback Optimization.

Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

A Complex Network-Based Approach to the Analysis and Classification of Images.

Geovana V. L. de Lima, Thullyo R. Castilho, Pedro Henrique Bugatti, Priscila T. M. Saito, Fabrício Martins Lopes

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Exploiting Evolutionary Approaches for Content-Based Medical Image Retrieval.

Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014

An active learning paradigm based on a priori data reduction and organization.

Priscila T. M. Saito, Pedro J. de Rezende, Alexandre X. Falcão, Celso T. N. Suzuki, Jancarlo F. Gomes

Expert Syst. Appl., 2014

Superpixel-Based Interactive Classification of Very High Resolution Images.

John E. Vargas, Priscila T. M. Saito, Alexandre X. Falcão, Pedro Jussieu de Rezende, Jefersson Alex dos Santos

Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

Content-based image retrieval towards the automatic characterization of soybean seed vigor.

Marcus G. F. Santanna, Priscila T. M. Saito, Pedro Henrique Bugatti

Proceedings of the Symposium on Applied Computing, 2014

Active Semi-supervised Learning Using Optimum-Path Forest.

Priscila T. M. Saito, Willian Paraguassu Amorim, Alexandre X. Falcão, Pedro Jussieu de Rezende, Celso T. N. Suzuki, Jancarlo F. Gomes, Marcelo Henriques de Carvalho

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

A data reduction and organization approach for efficient image annotation.

Priscila T. M. Saito, Pedro J. de Rezende, Alexandre X. Falcão, Celso T. N. Suzuki, Jancarlo F. Gomes

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2009

Parallel implementation of mobile robotic self-localization.

Priscila Tiemi Maeda Saito, Denis Fernando Wolf, Kalinka Regina Lucas Jaquie Castelo Branco, Ricardo José Sabatine

Proceedings of the 2009 International Conference on Hybrid Information Technology, 2009