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ORCIDPedro Henrique Bugatti
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2020 – today
- 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) - 2023
- [c33]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
- [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) - [c32]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
- [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) - [c31]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 - [c30]João Marcelo Tozato, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito:
Active Learning Strategies and Convolutional Neural Networks forMammogram Classification. ICAISC (2) 2021: 126-134 - [c29]Felipe F. Costa, Priscila T. M. Saito, Pedro Henrique Bugatti:
Video Action Classification through Graph Convolutional Networks. VISIGRAPP (4: VISAPP) 2021: 490-497 - 2020
- [c28]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 - [c27]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
2010 – 2019
- 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) - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [i1]Pedro Henrique Bugatti, Priscila T. M. Saito, Larry S. Davis:
HiCoRe: Visual Hierarchical Context-Reasoning. CoRR abs/1909.00848 (2019) - 2018
- [c21]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
- [c20]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 - [c19]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
- [c18]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
- [c17]Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti:
Exploiting Evolutionary Approaches for Content-Based Medical Image Retrieval. CBMS 2015: 370-371 - [c16]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 - [c15]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
- [j3]Pedro Henrique Bugatti, Daniel S. Kaster, Marcelo Ponciano-Silva, Caetano Traina Jr., Paulo M. Azevedo-Marques, Agma J. M. Traina:
PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles. Comput. Biol. Medicine 45: 8-19 (2014) - [c14]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 - 2013
- [c13]Marcelo Ponciano-Silva, Juliana P. Souza, Pedro Henrique Bugatti, Marcos Vinicius Naves Bedo, Daniel S. Kaster, Rosana T. V. Braga, Angela D. Bellucci, Paulo M. Azevedo-Marques, Caetano Traina Jr., Agma J. M. Traina:
Does a CBIR system really impact decisions of physicians in a clinical environment? CBMS 2013: 41-46 - [c12]Anderson Brilhador, Thiago P. Colonhezi, Pedro Henrique Bugatti, Fabrício Martins Lopes:
Combining Texture and Shape Descriptors for Bioimages Classification: A Case of Study in ImageCLEF Dataset. CIARP (1) 2013: 431-438 - [c11]Marcelo Ponciano-Silva, Pedro Henrique Bugatti, Rafael Menezes-Reis, Paulo M. Azevedo-Marques, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma Juci Machado Traina:
A Differential Method for Representing Spinal MRI for Perceptual-CBIR. CIARP (1) 2013: 464-471 - 2012
- [b1]Pedro Henrique Bugatti:
Content-based image retrieval aimed at reaching user's perception. University of São Paulo, Brazil, 2012 - 2011
- [c10]Pedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr.:
Improving content-based retrieval of medical images through dynamic distance on relevance feedback. CBMS 2011: 1-6 - [c9]Pedro Henrique Bugatti, Marcela X. Ribeiro, Agma J. M. Traina, Caetano Traina Jr.:
Feature Selection Guided by Perception in Medical CBIR Systems. HISB 2011: 323-330 - [c8]Daniel S. Kaster, Pedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Paulo M. Azevedo-Marques, Antonio Carlos dos Santos, Caetano Traina Jr.:
MedFMI-SiR: A Powerful DBMS Solution for Large-Scale Medical Image Retrieval. ITBAM 2011: 16-30 - [c7]Pedro Henrique Bugatti, Daniel S. Kaster, Marcelo Ponciano-Silva, Agma J. M. Traina, Caetano Traina Jr.:
Integrating user profile in medical CBIR systems to answer perceptual similarity queries. Medical Imaging: Computer-Aided Diagnosis 2011: 79630Q - 2010
- [j2]Daniel S. Kaster, Pedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr.:
FMI-SiR: A Flexible and Efficient Module for Similarity Searching on Oracle Database. J. Inf. Data Manag. 1(2): 229-244 (2010)
2000 – 2009
- 2009
- [j1]Marcela Xavier Ribeiro, Pedro Henrique Bugatti, Caetano Traina Jr., Paulo M. Azevedo-Marques, Natalia Abdala Rosa, Agma J. M. Traina:
Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques. Data Knowl. Eng. 68(12): 1370-1382 (2009) - [c6]Pedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques:
Content-based retrieval of medical images: From context to perception. CBMS 2009: 1-8 - [c5]Daniel S. Kaster, Pedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr.:
Incorporating Metric Access Methods for Similarity Searching on Oracle Database. SBBD 2009: 196-210 - 2008
- [c4]Pedro Henrique Bugatti, Marcela Xavier Ribeiro, Agma Juci Machado Traina, Caetano Traina Jr.:
Content-Based Retrieval of Medical Images by Continuous Feature Selection. CBMS 2008: 272-277 - [c3]Pedro Henrique Bugatti, Agma J. M. Traina, Joaquim Cezar Felipe, Caetano Traina:
A new method to efficiently reduce histogram dimensionality. Medical Imaging: Computer-Aided Diagnosis 2008: 69152Y - [c2]Pedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr.:
Assessing the best integration between distance-function and image-feature to answer similarity queries. SAC 2008: 1225-1230 - [c1]Carolina W. da Silva, Pedro Henrique Bugatti, Marcela X. Ribeiro, Caetano Traina Jr., Agma J. M. Traina:
Improving CBIR using feature extraction based on wavelet transform. WebMedia 2008: 51-58
Coauthor Index
aka: Priscila Tiemi Maeda Saito
aka: Agma Juci Machado Traina
aka: Caetano Traina
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last updated on 2024-10-07 22:18 CEST by the dblp team
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