Pedro Henrique Bugatti

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 28

Top Venues

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

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)
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) (2024)
William S. M. Silva, Priscila T. M. Saito, Pedro Henrique Bugatti
Image Classification Through Graph Neural Networks and Random Walks. ICAISC (1) (2023)
Cristiano N. de O. Bassani, Prisicla T. M. Saito, Pedro Henrique Bugatti
Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networks. ICAISC (2) (2022)
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) (2022)
Lucas G. Batista, Pedro Henrique Bugatti, Priscila T. M. Saito
Classification of Skin Lesion through Active Learning Strategies. Comput. Methods Programs Biomed. 226 (2022)
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) (2022)
João Marcelo Tozato, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
Active Learning Strategies and Convolutional Neural Networks forMammogram Classification. ICAISC (2) (2021)
Felipe F. Costa, Priscila T. M. Saito, Pedro Henrique Bugatti
Video Action Classification through Graph Convolutional Networks. VISIGRAPP (4: VISAPP) (2021)
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)
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)
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)
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)
Pedro Henrique Bugatti, Priscila T. M. Saito, Larry S. Davis
HiCoRe: Visual Hierarchical Context-Reasoning. CoRR (2019)
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)
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)
Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila T. M. Saito
Breast cancer diagnosis through active learning in content-based image retrieval. Neurocomputing 357 (2019)
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)
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 (2019)
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)
Guilherme Camargo, Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
Towards an Effective and Efficient Learning for Biomedical Data Classification. CBMS (2017)
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)
Douglas Felipe Pereira, Priscila T. M. Saito, Pedro Henrique Bugatti
An image analysis framework for effective classification of seed damages. SAC (2016)
Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti
Exploiting Evolutionary Approaches for Content-Based Medical Image Retrieval. CBMS (2015)
Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti
A Novel Framework for Content-Based Image Retrieval Through Relevance Feedback Optimization. CIARP (2015)
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)
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)
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 (2014)
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)
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)
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)
Pedro Henrique Bugatti, Marcela X. Ribeiro, Agma J. M. Traina, Caetano Traina Jr.
Feature Selection Guided by Perception in Medical CBIR Systems. HISB (2011)
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)
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)
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)
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) (2010)
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)
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) (2009)
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)
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)
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)
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)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pedro Henrique Bugatti