Pedro Henrique Bugatti
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
5
Active years
2008–2025
Best venue rank
National
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICAISC | Analysis of Data and Supervised Machine Learning Algorithms for Intrusion Detection. | Rafael de Camillo Masson, Rodolfo A. da S. Arruda, Anderson B. Soares, Pedro Henrique Bugatti, Kalinka R. L. J. Castelo Branco, Priscila T. M. Saito |
| 2024 | ICAISC | Classification of Cardiac Arrhythmias Using 1D and 2D Convolutional Neural Networks. | Ana L. Franco, Cristiano M. Agulhari, Pedro Henrique Bugatti, Priscila T. M. Saito |
| 2024 | ICAISC | Combining Audio and Image Sequence for Video Moment Retrieval by Natural Language. | Luis G. Souza, Silvio Ricardo Rodrigues Sanches, Pedro Henrique Bugatti, Priscila T. M. Saito |
| 2023 | ICAISC | Image Classification Through Graph Neural Networks and Random Walks. | William S. M. Silva, Priscila T. M. Saito, Pedro Henrique Bugatti |
| 2022 | ICAISC | Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networks. | Cristiano N. de O. Bassani, Priscila T. M. Saito, Pedro Henrique Bugatti |
| 2021 | ICAISC | Contextual Image Classification Through Fine-Tuned Graph Neural Networks. | Walacy S. Campos, Luis G. Souza, Priscila T. M. Saito, Pedro Henrique Bugatti |
| 2021 | ICAISC | Active Learning Strategies and Convolutional Neural Networks forMammogram Classification. | Joo Marcelo Tozato, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito |
| 2020 | ICAISC | DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution. | Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti |
| 2020 | ICAISC | Automatic Visual Quality Assessment of Biscuits Using Machine Learning. | Mardlla de Sousa Silva, Luigi Freitas Cruz, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito |
| 2019 | CBMS | DeepMammo: Deep Transfer Learning for Lesion Classification of Mammographic Images. | Lucas M. Valrio, Daniel H. A. Alves, Luigi F. Cruz, Pedro Henrique Bugatti, Claiton de Oliveira, Priscila T. M. Saito |
| 2019 | FIE | 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 |
| 2019 | ICAISC | Classification of Transposable Elements by Convolutional Neural Networks. | Murilo Horacio Pereira da Cruz, Priscila T. M. Saito, Alexandre Rossi Paschoal, Pedro Henrique Bugatti |
| 2018 | CBMS | DOCToR: The Role of Deep Features in Content-Based Mammographic Image Retrieval. | Rafael Staiger Bressan, Daniel H. A. Alves, Lucas M. Valrio, Pedro Henrique Bugatti, Priscila T. M. Saito |
| 2017 | CBMS | Towards an Effective and Efficient Learning for Biomedical Data Classification. | Guilherme Camargo, Rafael Staiger Bressan, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito |
| 2017 | CIARP | Going Deeper on BioImages Classification: A Plant Leaf Dataset Case Study. | Daniel H. A. Alves, Lus F. Galonetti, Claiton de Oliveira, Pedro Henrique Bugatti, Priscila T. M. Saito |
| 2016 | SAC | An image analysis framework for effective classification of seed damages. | Douglas Felipe Pereira, Priscila T. M. Saito, Pedro Henrique Bugatti |
| 2015 | CBMS | Exploiting Evolutionary Approaches for Content-Based Medical Image Retrieval. | Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti |
| 2015 | CIARP | 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, Fabrcio Martins Lopes |
| 2015 | CIARP | A Novel Framework for Content-Based Image Retrieval Through Relevance Feedback Optimization. | Reginaldo Rocha, Priscila T. M. Saito, Pedro Henrique Bugatti |
| 2014 | SAC | Content-based image retrieval towards the automatic characterization of soybean seed vigor. | Marcus G. F. Santanna, Priscila T. M. Saito, Pedro Henrique Bugatti |
| 2013 | CBMS | Does a CBIR system really impact decisions of physicians in a clinical environment? | 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 |
| 2013 | CIARP | Combining Texture and Shape Descriptors for Bioimages Classification: A Case of Study in ImageCLEF Dataset. | Anderson Brilhador, Thiago P. Colonhezi, Pedro Henrique Bugatti, Fabrcio Martins Lopes |
| 2013 | CIARP | A Differential Method for Representing Spinal MRI for Perceptual-CBIR. | Marcelo Ponciano-Silva, Pedro Henrique Bugatti, Rafael Menezes-Reis, Paulo M. Azevedo-Marques, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma Juci Machado Traina |
| 2011 | CBMS | Improving content-based retrieval of medical images through dynamic distance on relevance feedback. | Pedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr. |
| 2009 | CBMS | Content-based retrieval of medical images: From context to perception. | Pedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques |
| 2008 | CBMS | Content-Based Retrieval of Medical Images by Continuous Feature Selection. | Pedro Henrique Bugatti, Marcela Xavier Ribeiro, Agma Juci Machado Traina, Caetano Traina Jr. |
| 2008 | SAC | Assessing the best integration between distance-function and image-feature to answer similarity queries. | Pedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr. |