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Journal Articles
- 2024
[j14]Marcelo Souza, William C. Horikoshi, Priscila T. M. Saito, Pedro Henrique Bugatti
:
Soybean seed vigor classification through an effective image learning-based approach. Multim. Tools Appl. 83(5): 13113-13136 (2024)- [j13]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): 66499-66516 (2024) - 2022
- [j12]Lucas G. Batista, Pedro Henrique Bugatti, Priscila T. M. Saito:
Classification of Skin Lesion through Active Learning Strategies. Comput. Methods Programs Biomed. 226: 107122 (2022) - [j11]Claudinei M. Silva, Katharina A. I. Rosa, Pedro Henrique Bugatti, Priscila T. M. Saito, Cléber Gimenez Corrêa, Roberto Sadao Yokoyama, Silvio Ricardo Rodrigues Sanches:
Method for selecting representative videos for change detection datasets. Multim. Tools Appl. 81(3): 3773-3791 (2022) - [j10]Ronaldo S. Moura, Silvio Ricardo Rodrigues Sanches, Pedro Henrique Bugatti, Priscila T. M. Saito:
Pedestrian traffic lights and crosswalk identification. Multim. Tools Appl. 81(12): 16497-16513 (2022) - 2021
- [j9]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) - [j8]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): 1675-1683 (2021) - 2019
- [j7]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): 682-689 (2019) - [j6]Geovana V. L. de Lima, Priscila T. M. Saito, Fabrício Martins Lopes, Pedro Henrique Bugatti:
Classification of texture based on Bag-of-Visual-Words through complex networks. Expert Syst. Appl. 133: 215-224 (2019) - [j5]Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila T. M. Saito:
Breast cancer diagnosis through active learning in content-based image retrieval. Neurocomputing 357: 1-10 (2019) - [j4]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): 2238-2244 (2019) - 2018
- [j3]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: 455-464 (2018) - 2015
- [j2]Priscila T. M. Saito, Celso T. N. Suzuki, Jancarlo F. Gomes, Pedro Jussieu de Rezende, Alexandre X. Falcão:
Robust active learning for the diagnosis of parasites. Pattern Recognit. 48(11): 3572-3583 (2015) - 2014
- [j1]Priscila T. M. Saito, Pedro J. de Rezende, Alexandre X. Falcão, Celso T. N. Suzuki, Jancarlo F. Gomes:
An active learning paradigm based on a priori data reduction and organization. Expert Syst. Appl. 41(14): 6086-6097 (2014)
Conference and Workshop Papers
- 2023
- [c24]William S. M. Silva, Priscila T. M. Saito, Pedro Henrique Bugatti:
Image Classification Through Graph Neural Networks and Random Walks. ICAISC (1) 2023: 226-235 - 2022
- [c23]Cristiano N. de O. Bassani, Priscila T. M. Saito, Pedro Henrique Bugatti:
Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networks. ICAISC (2) 2022: 195-205 - 2021
- [c22]Walacy S. Campos, Luis G. Souza, Priscila T. M. Saito, Pedro Henrique Bugatti:
Contextual Image Classification Through Fine-Tuned Graph Neural Networks. ICAISC (2) 2021: 15-24 - [c21]João Marcelo Tozato, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito:
Active Learning Strategies and Convolutional Neural Networks forMammogram Classification. ICAISC (2) 2021: 126-134 - [c20]Felipe F. Costa, Priscila T. M. Saito, Pedro Henrique Bugatti:
Video Action Classification through Graph Convolutional Networks. VISIGRAPP (4: VISAPP) 2021: 490-497 - 2020
- [c19]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: 50-59 - [c18]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: 59-70 - 2019
- [c17]Lucas M. Valério, Daniel H. A. Alves, Luigi F. Cruz, Pedro Henrique Bugatti, Claiton de Oliveira, Priscila T. M. Saito:
DeepMammo: Deep Transfer Learning for Lesion Classification of Mammographic Images. CBMS 2019: 447-452 - [c16]Lucas de O. Alves, Luigi F. Cruz, Priscila T. M. Saito, Pedro Henrique Bugatti:
Towards Practical Computer Vision in Teaching and Learning of Image Processing Theories. FIE 2019: 1-7 - [c15]Murilo Horacio Pereira da Cruz, Priscila T. M. Saito, Alexandre Rossi Paschoal, Pedro Henrique Bugatti:
Classification of Transposable Elements by Convolutional Neural Networks. ICAISC (2) 2019: 157-168 - [c14]Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti:
DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification. MLDM (2) 2019: 890-900 - [c13]Douglas Felipe Pereira, Pedro Henrique Bugatti, Fabrício Martins Lopes, André Luis Siqueira Marques de Souza, Priscila T. M. Saito:
An Intelligent System to Enhance the Productivity and Sustainability in Soybean Crop Enterprises. SBSI 2019: 56:1-56:8 - 2018
- [c12]Rafael Staiger Bressan, Daniel H. A. Alves, Lucas M. Valério, Pedro Henrique Bugatti, Priscila T. M. Saito:
DOCToR: The Role of Deep Features in Content-Based Mammographic Image Retrieval. CBMS 2018: 158-163 - 2017
- [c11]Guilherme Camargo, Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito:
Towards an Effective and Efficient Learning for Biomedical Data Classification. CBMS 2017: 13-18 - [c10]Daniel H. A. Alves, Luís F. Galonetti, Claiton de Oliveira, Pedro Henrique Bugatti, Priscila T. M. Saito:
Going Deeper on BioImages Classification: A Plant Leaf Dataset Case Study. CIARP 2017: 36-44 - 2016
- [c9]Douglas Felipe Pereira, Priscila T. M. Saito, Pedro Henrique Bugatti:
An image analysis framework for effective classification of seed damages. SAC 2016: 61-66 - 2015
- [c8]Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti:
Exploiting Evolutionary Approaches for Content-Based Medical Image Retrieval. CBMS 2015: 370-371 - [c7]Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti:
A Novel Framework for Content-Based Image Retrieval Through Relevance Feedback Optimization. CIARP 2015: 281-289 - [c6]Geovana V. L. de Lima, Thullyo R. Castilho, Pedro Henrique Bugatti, Priscila T. M. Saito, Fabrício Martins Lopes:
A Complex Network-Based Approach to the Analysis and Classification of Images. CIARP 2015: 322-330 - 2014
- [c5]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:
Active Semi-supervised Learning Using Optimum-Path Forest. ICPR 2014: 3798-3803 - [c4]Marcus G. F. Santanna, Priscila T. M. Saito, Pedro Henrique Bugatti:
Content-based image retrieval towards the automatic characterization of soybean seed vigor. SAC 2014: 964-969 - [c3]John E. Vargas, Priscila T. M. Saito, Alexandre X. Falcão, Pedro Jussieu de Rezende, Jefersson Alex dos Santos:
Superpixel-Based Interactive Classification of Very High Resolution Images. SIBGRAPI 2014: 173-179 - 2013
- [c2]Priscila T. M. Saito, Pedro J. de Rezende, Alexandre X. Falcão, Celso T. N. Suzuki, Jancarlo F. Gomes:
A data reduction and organization approach for efficient image annotation. SAC 2013: 53-57 - 2009
- [c1]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: 390-396
Informal and Other Publications
- 2019
- [i1]Pedro Henrique Bugatti, Priscila T. M. Saito, Larry S. Davis:
HiCoRe: Visual Hierarchical Context-Reasoning. CoRR abs/1909.00848 (2019)
Coauthor Index
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