Priscila T. M. Saito

Orcid: 0000-0002-4870-4766

According to our database1, Priscila T. M. Saito authored at least 39 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Automatic generation of difficulty maps for datasets using neural network.
Multim. Tools Appl., July, 2024

Soybean seed vigor classification through an effective image learning-based approach.
Multim. Tools Appl., February, 2024

2023
Image Classification Through Graph Neural Networks and Random Walks.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022
Method for selecting representative videos for change detection datasets.
Multim. Tools Appl., 2022

Pedestrian traffic lights and crosswalk identification.
Multim. Tools Appl., 2022

Classification of Skin Lesion through Active Learning Strategies.
Comput. Methods Programs Biomed., 2022

Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021
Assessing Active Learning Strategies to Improve the Quality Control of the Soybean Seed Vigor.
IEEE Trans. Ind. Electron., 2021

TERL: classification of transposable elements by convolutional neural networks.
Briefings Bioinform., 2021

Video Action Classification through Graph Convolutional Networks.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Active Learning Strategies and Convolutional Neural Networks forMammogram Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Contextual Image Classification Through Fine-Tuned Graph Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
Automatic Visual Quality Assessment of Biscuits Using Machine Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019
Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification.
IEEE J. Biomed. Health Informatics, 2019

Breast cancer diagnosis through active learning in content-based image retrieval.
Neurocomputing, 2019

Classification of texture based on Bag-of-Visual-Words through complex networks.
Expert Syst. Appl., 2019

HiCoRe: Visual Hierarchical Context-Reasoning.
CoRR, 2019

Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants.
Briefings Bioinform., 2019

An Intelligent System to Enhance the Productivity and Sustainability in Soybean Crop Enterprises.
Proceedings of the XV Brazilian Symposium on Information Systems, 2019

DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Classification of Transposable Elements by Convolutional Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

Towards Practical Computer Vision in Teaching and Learning of Image Processing Theories.
Proceedings of the IEEE Frontiers in Education Conference, 2019

DeepMammo: Deep Transfer Learning for Lesion Classification of Mammographic Images.
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.
Comput. Electron. Agric., 2018

DOCToR: The Role of Deep Features in Content-Based Mammographic Image Retrieval.
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.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Towards an Effective and Efficient Learning for Biomedical Data Classification.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
An image analysis framework for effective classification of seed damages.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2015
Robust active learning for the diagnosis of parasites.
Pattern Recognit., 2015

A Novel Framework for Content-Based Image Retrieval Through Relevance Feedback Optimization.
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.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Exploiting Evolutionary Approaches for Content-Based Medical Image Retrieval.
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.
Expert Syst. Appl., 2014

Superpixel-Based Interactive Classification of Very High Resolution Images.
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

Content-based image retrieval towards the automatic characterization of soybean seed vigor.
Proceedings of the Symposium on Applied Computing, 2014

Active Semi-supervised Learning Using Optimum-Path Forest.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
A data reduction and organization approach for efficient image annotation.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2009
Parallel implementation of mobile robotic self-localization.
Proceedings of the 2009 International Conference on Hybrid Information Technology, 2009


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