Journals

2024

  • S. R. R. Sanches, E. Custódio Jr., C. G. Corrêa, C. Oliveira, V. Freire, P. T. M. Saito, P. H. Bugatti. Automatic generation of difficulty maps for datasets using neural network. MULTIMEDIA TOOLS AND APPLICATIONS (DORDRECHT. ONLINE), v. 1, p. 1-18, 2024, doi

2023

  • M. Souza Jr., W. C. Horikoshi, P. T. M. Saito, P. H. Bugatti. Soybean seed vigor classification through an effective image learning-based approach. MULTIMEDIA TOOLS AND APPLICATIONS (DORDRECHT. ONLINE), v. 1, p. 1, 2023, doi

  • S. R. R. Sanches, C. G. Correa, B. R. Brum, P. H. Bugatti, P. T. M. Saito, C. M. Silva, E. Custodio Jr. Evaluation of Change Detection Algorithms using Difficulty Maps. IEEE Latin America Transactions, v. 21, p. 700-706, 2023, doi

  • E. R. Oliveira, P. H. Bugatti, P. T. M. Saito. Assessment of clustering techniques to support the analyses of soybean seed vigor. PLoS One, 2023, doi

2022

  • L. G. Batista, P. H. Bugatti, P. T. M. Saito. Classification of Skin Lesion through Active Learning Strategies. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 226, p. 107122, 2022, doi

  • R. P. P Souza, C. M. Agulhari, A. Goedtel, P. H. Bugatti. Improved robust filter synthesis combining linear matrix inequalities and heuristic algorithms. OPTIMAL CONTROL APPLICATIONS AND METHODS, v. 1, p. 1-16, 2022, doi

  • R. S. Moura, S. R. R. Sanches, P. H. Bugatti, P. T. M. Saito. Pedestrian traffic lights and crosswalk identification. MULTIMEDIA TOOLS AND APPLICATIONS (DORDRECHT. ONLINE), p. 1-10, 2022, doi

2021

  • D. F. Pereira, P. H. Bugatti, F. M. Lopes, A. L. S. M. de Souza and P. T. M. Saito. Assessing Active Learning Strategies to Improve the Quality Control of the Soybean Seed Vigor, in IEEE Transactions on Industrial Electronics, vol. 68, no. 2, pp. 1675-1683, 2021, doi

  • C. M. Silva, K. A. I. Rosa, P. H. Bugatti, P. T. M. Saito, C. G. Correa, R. S. Yokoyama and S. R. R. Sanches. Method for Selecting Representative Videos for Change Detection Datasets, in Multimedia Tools and Applications, vol. 81, Issue 29, pp. 1-13, 2021, doi

2020

  • M. H. P. da Cruz, D. S. Domingues, P. T. M. Saito, A. R. Paschoal and P. H. Bugatti. TERL: classification of transposable elements by convolutional neural networks, in Briefings in Bioinformatics, vol. 22, Issue 3, bbaa185, 2021, doi

  • G. Camargo, P. H. Bugatti, P. T. M. Saito. Active semi-supervised learning for biological data classification. PLoS One, vol. 15, pp. e0237428, 2020, doi

2019

  • D. F. Pereira, P. H. Bugatti, F. M. Lopes, A. L. S. M. Souza and P. T. M. Saito. Contributing to agriculture by using soybean seed data from the tetrazolium test. Data in Brief, vol. 23, pp. 103652, 2019, doi

  • G. V. L. Lima, P. T. M. Saito, F. M. Lopes and P. H. Bugatti. Classification of Texture based on Bag-of-Visual-Words through Complex Networks. Expert Systems with Applications, vol. 133, pp. 215-224, 2019, doi

  • R. S. Bressan, P. H. Bugatti and P. T. M. Saito. Breast Cancer Diagnosis through Active Learning in Content-based Image Retrieval. Neurocomputing, vol. 357, pp. 1-10, 2019, doi

2018

  • T. C. Negri, W. A. L. Alves, P. H. Bugatti, P. T. M. Saito, D. S. Domingues and A. R. Paschoal. Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants. Briefings in Bioinformatics, vol. 20, Issue 2, pp. 682-689, 2018, doi

  • R. S. Bressan, G. Camargo, P. H. Bugatti, P. T. M. Saito. Exploring active learning based on representativeness and uncertainty for biomedical data classification. IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 6 pp. 2238-2244, 2018, doi

2014

  • P. H. Bugatti, D. S. Kaster, M. Ponciano-Silva, C. Traina Jr., P. M. Azevedo-Marques and A. J. M. Traina. PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles. Computers in Biology and Medicine, v. 45, p. 8-19, 2014, doi

2010

  • D. S. Kaster, P. H. Bugatti, A. J. M. Traina and C. Traina Jr. FMI-SiR: A Flexible and Efficient Module for Similarity Searching on Oracle Database. Journal of Information and Data Management - JIDM, v. 1, p. 229-244, 2010.

2009

  • M. X. Ribeiro, P. H. Bugatti, C. Traina Jr, P. M. Azevedo-Marques, N. A. Rosa and A. J. M. Traina. Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques. Data & Knowledge Engineering, vol. 68, Issue 12, pp. 1370-1382, 2009 doi

Conferences

2023

  • W. S. M. Silva, P. T. M. Saito, P. H. Bugatti. Image Classification through Graph Neural Networks and Random Walks. In: The 22nd International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2023, Zakopane. Proceedings of the 22nd ICAISC, 2023. v. 1. p. 1-10.

2022

  • C. N. O. Bassani, P. T. M. Saito, P. H. Bugatti. Assessment of Semi-Supervised approaches applied to Convolutional Neural Networks. In: 21st International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2022, Zakopane. Proceedings of the 21st ICAISC, 2022. v. 1. p. 1-10.

  • L. G. Batista, L. G. Garcia, F. F. Cruz, P. H. Bugatti, P. T. M. Saito. Aprendizado Ativo Aplicado ao Diagnóstico de Lesões Dermatológicas. In: XVI Brazilian e-Science Workshop, 2022, Rio de Janeiro. Proccedings of the XVI Brazilian e-Science Workshop - CSBC, 2022. p. 1-8.

  • C. N. O. Bassani, P. T. M. Saito, P. H. Bugatti. Avaliação de abordagens semi-supervisionadas aplicadas a redes neurais convolucionais. In: XVI Brazilian e-Science Workshop, 2022, Rio de Janeiro. Proceedings of the XVI Brazilian e-Science Workshop - CSBC, 2022. p. 9-16.

2021

  • F. F. Costa, P. T. M. Saito, P. H. Bugatti. Video Action Classification through Graph Convolutional Networks. In: 16th International Conference on Computer Vision Theory and Applications, 2021. Proceedings of the VISAPP, 2021. p. 490-497.

  • J. M. Tozato, P. H. Bugatti, P. T. M. Saito. Active Learning Strategies and Convolutional Neural Networks for Mammogram Classification. In: 20th International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2021, Zakapone - Poland. Lecture Notes in Computer Science. Switzerland: Springer, 2021. v. 1. p. 1-9.

  • W. S. Campos, L. G. Souza, P. T. M. Saito, P. H. Bugatti. Contextual image classification through fine-tuned graph neural networks. In: 20th International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2021, Zakapone, Poland. Lecture Notes in Computer Science. Switzerland: Springer, 2021. v. 1. p. 1-10.

2020

  • M. S. Silva, L. F. Cruz, P. H. Bugatti, P. T. M. Saito. Automatic visual quality assessment of biscuits using machine learning. In: 19th International Conference on Artificial Intelligence and Soft Computing, 2020, Zakopane, Poland. Lecture Notes in Artificial Intelligence. Switzerland: Springer, 2020. v. 1. p. 59-70.

  • L. F. Cruz, P. T. M. Saito, P. H. Bugatti. DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution. In: 19th International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2020, Zakopane, Poland. Lecture Notes in Computer Science. Switzerland: Springer, 2020. v. 1. p. 50-59.

2019

  • D. F. Pereira, P. H. Bugatti, F. M. Lopes, A. L. S. M. Souza, P. T. M. Saito. An Intelligent System to Enhance the Productivity and Sustainability in Soybean Crop Enterprises. In: the XV Brazilian Symposium, 2019, Aracaju. Proceedings of the XV Brazilian Symposium on Information Systems - SBSI’19, 2019. v. 1. p. 1-8.

  • L. M. Valerio, D. H. A. Alves, L. F. Cruz, P. H. Bugatti, C. Oliveira, P. T. M. Saito. DeepMammo: Deep Transfer Learning for Lesion Classification of Mammographic Images. In: 32th IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2019, Córdoba, Spain. Proceedings of the IEEE CBMS, 2019. v. 1. p. 447-452.

  • M. H. P. Cruz, P. T. M. Saito, A. R. Paschoal, P. H. Bugatti. Classification of Transposable Elements by Convolutional Neural Networks. In: 18th International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2019, Zakopane, Poland. Lecture Notes in Computer Science. Springer: Switzerland, 2019. v. 1. p. 157-168

  • L. F. Cruz, P. T. M. Saito, P. H. Bugatti. DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification. In: 15th International Conference on Machine Learning and Data Mining (MLDM), 2019, New York, United States. Lecture Notes in Computer Science, 2019. v. 1. p. 890-900.

  • L. O. Alves, L. F. Cruz, P. T. M. Saito, P. H. Bugatti. Towards Practical Computer Vision in Teaching and Learning of Image Processing Theories. In: IEEE Frontiers in Education, 2019, Cincinnati, USA. Proceedings of the 49th IEEE Frontiers in Education, 2019. p. 1-7

  • R. S. Bressan, P. H. Bugatti, P. T. M. Saito. Abordagens de Aprendizado Ativo para Recuperação e Classificação de Imagens. In: Brazilian Symposium on Databases (SBBD), 2019, Fortaleza. Anais do 34º SBBD, 2019. p. 1-6.

2018

  • R. S. Bressan, D. H. A. Alves, L. M. Valerio, P. H. Bugatti, P. T. M. Saito. DOCToR: The Role of Deep Features in Content-based Mammographic Image Retrieval. In: 31st IEEE International Symposium on Computer-Based Medical Systems., 2018, Karlstad, Sweden. Proceedings of the IEEE CBMS, 2018. v. 1. p. 158-163.

  • M. Souza Jr., R. S. Bressan, D. F. Pereira, P. T. M. Saito, P. H. Bugatti. Rumo à Melhoria de Produtividade e Sustentabilidade Agrícola por meio da Classificação Automática do Vigor de Sementes de Soja. In: 45º Seminário Integrado de Software e Hardware (SEMISH), 2018, Natal. Anais do SEMISH, 2018. p. 113-124.

  • R. S. Bressan, M. Souza Jr., D. F. Pereira, P. H. Bugatti, P. T. M. Saito. SoyRetrieval - Técnicas de Aprendizado e Recuperação de Imagens para Análise do Vigor de Sementes de Soja. In: 45º Seminário Integrado de Software e Hardware (SEMISH), 2018, Natal. Anais do SEMISH, 2018. p. 77-88.

2017

  • G. Camargo, R. S. Bressan, P. H. Bugatti, P. T. M. Saito. Towards an effective and efficient learning for biomedical data classification. In: 30th IEEE International Symposium on Computer-Based Medical Systems, 2017, Thessaloniki, Greece. Proceedings of the 30th IEEE CBMS, 2017. v. 1. p. 13-18.

  • D. H. A. Alves, L. F. Galonetti, C. Oliveira, P. H. Bugatti, P. T. M. Saito. Going Deeper on BioImages Classification: A Plant Leaf Dataset Case Study. In: 22nd Iberoamerican Congress on Pattern Recognition, 2017, Valparaíso, Chile. Proceedings of the 22nd Iberoamerican Congress on Pattern Recognition, 2017. p. 36-44

2016

  • D. F. Pereira, P. T. M. Saito, P. H. Bugatti. An image analysis framework for effective classification of seed damages. 31st ACM Symposium on Applied Computing (SAC), p. 61-66, 2016.

2015

  • G. V. L. de Lima, T. R. Castilho, P. H. Bugatti, P. T. M. Saito, and F. M. Lopes. A complex network-based approach to the analysis and classification of images. 20th Iberoamerican Congress on Pattern Recognition (CIARP), Lecture Notes in Computer Science, v. 9423, p. 322-330, 2015.

  • R. Rocha, P. T. M. Saito, P. H. Bugatti. A Novel Framework for Content-Based Image Retrieval through Relevance Feedback Optimization. 20th Iberoamerican Congress on Pattern Recognition (CIARP), Lecture Notes in Computer Science, v. 9423, p. 281-289, 2015.

2014

  • M. G. F. Santanna, P. T. M. Saito, P. H. Bugatti. Content-based image retrieval towards the automatic characterization of soybean seed vigor. 29th ACM Symposium on Applied Computing (SAC), p. 964-969, 2014.

  • M. A. P. Terrin, C. N. Silla Junior, P. H. Bugatti. Utilizando técnicas de mineração de dados para apoiar a busca ativa de famílias em situação de vulnerabilidade e risco social. XLI Seminário Integrado de Software e Hardware (SEMISH-SBC), p. 1051-1062, 2014.

2013

  • M. P. Silva, J. P. Souza, P. H. Bugatti, M. V. N. Bedo, D. S. Kaster, R. T. V. Braga, A. D. Bellucci, P. M. A. Marques, C. Traina Junior, A. J. M. Traina. Does a CBIR system really impact decisions of physicians in a clinical environment?. 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), p. 41-46, 2013.

  • A. Brilhador, T. P. Colonhezi, P. H. Bugatti, F. M. Lopes. Combining Texture and Shape Descriptors for Bioimages Classification: A Case of Study in ImageCLEF Dataset. 18th Iberoamerican Congress on Pattern Recognition (CIARP), Lecture Notes in Computer Science. Berlin: Springer-Verlag, v. 8258. p. 431-438, 2013.

  • M. P. Silva, P. H. Bugatti. R. M. Reis, P. M. A. Marques, M. H. N. Barbosa, C. Traina Junior, A. J. M. Traina. A Differential Method for Representing Spinal MRI for Perceptual-CBIR. 18th Iberoamerican Congress on Pattern Recognition (CIARP), Lecture Notes in Computer Science, Berlin: Springer-Verlag, v. 8258, p. 464-471, 2013.

2012

  • M. V. N. Bedo, M. P. Silva, D. S. Kaster, P. H. Bugatti, A. J. M. Traina, C. Traina Junior. Higiia: A Perceptual Medical CBIR System Applied to Mammography Classification. Demo and Applications Session of the XXVII Brazilian Symposium on Databases (SBBD), p. 13-18, 2012.

2011

  • P. H. Bugatti, D. S. Kaster, M. P. Silva, A. J. M. Traina, C. Traina Junior. Integrating user profile in medical CBIR systems to answer perceptual similarity queries. SPIE Medical Imaging Conference, p. 1-12, 2011.

  • P. H. Bugatti, M. X. Ribeiro, A. J. M. Traina, C. Traina Junior. Feature Selection Guided by Perception in Medical CBIR Systems. IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), p. 323-330, 2011.

  • D. S. Kaster, P. H. Bugatti, M. P. Silva, A. J. M. Traina, C. Traina Junior. MedFMI-SiR: A Powerful DBMS Solution for Large-scale Medical Image Retrieval. 2nd International Conference on Information Technology in Bio- and Medical Informatics (ITBAM), Lecture Notes in Computer Science, v. 6865, p. 16-30, 2011.

  • P. H. Bugatti, A. J. M Traina, C. Traina Junrio. Improving Content-Based Retrieval of Medical Images through Dynamic Distance on Relevance Feedback. 24th IEEE International Symposium on Computer-Based Medical Systems (CBMS), p. 92-97, 2011.

2009

  • P. H. Bugatti, A. J. M. Traina. On the Effects of Distance Functions to Improve Content-based Image Retrieval. XXII Concurso de Teses e Dissertações (associado ao XXIX Congresso da Sociedade Brasileira de Computação. p. 105-112, 2009.

  • P. H. Bugatti, M. P. Silva, A. J. M. Traina, C. Traina Junior, P. M. A. Marques. Content-Based Retrieval of Medical Images: from Context to Perception. 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), p. 9-15, 2009.

  • D. S. Kaster, P. H. Bugatti, A. J. M. Traina, C. Traina Junior. Incorporating Metric Access Methods for Similarity Searching on Oracle Database. XXIV Brazilian Symposium on Databases (SBBD), p. 1-15, 2009.

2008

  • P. H. Bugatti, A. J. M. Traina, J. C. Felipe, C. Traina Junior. A New Method to Efficiently Reduce Histogram Dimensionality. SPIE Medical Imaging (MI03): Computer-Aided Diagnosis, v.6915, p. 69152Y-1?69152Y-9, 2008.

  • P. H. Bugatti, A. J. M Traina, C. Traina Junior. Assessing the Best Integration between Distance-function and Image-Feature to Answer Similarity Queries. 23rd ACM Symposium on Applied Computing (SAC), v. 2, p. 1225-1230, 2008.

  • P. H. Bugatti, M. X. Ribeiro, A. J. M. Traina, C. Traina Junior. Content-based Retrieval of Medical Images by Continuous Feature Selection. 21th IEEE International Symposium on Computer-Based Medical Systems (CBMS), v. 1, p. 272-277, 2008.

  • C. Y. V. W. Silva, P. H. Bugatti, M. X. Ribeiro, A. J. M. Traina, C. Traina Junior. Improving CBIR Using Feature Extraction Based on Wavelet Transform. XIV Brazilian Symposium on Multimedia and Web Systems (WebMedia), v. 1, p. 9-15, 2008.

Book Chapters

  • R. S. Bressan, P. H. Bugatti, P. T. M. Saito. Optimum-path forest and active learning approaches for content-based medical image retrieval. In: Alexandre Xavier Falcão; João Paulo Papa. (Org.). Optimum-Path Forest: Theory, Algorithms, and Applications. 1eded.: Academic Press, 2022, v. , p. 95-207, doi

  • L. S. Oliveira, A. C. Patera, D. S. Domingues, D. S. Sanches, P. H. Bugatti, P. T. M. Saito, V. Maracaja-Coutinho, A. M. Durham, A. R. Paschoal. Computational Analysis of Transposable Elements and CircRNAs in Plants. In: Luis María Vaschetto. (Org.). Plant Circular RNAs: Methods and Protocol. 1ed.New York, NY: Springer US, 2021, v. 2362, p. 147-172, doi

  • A. J. M. Traina, C. Traina Junior, A. G. R. Balan, M. X. Ribeiro, P. H. Bugatti, C. Y. V. W. Silva, P. M. A. Marques. Feature Extraction and Selection for Decision Making over Medical Images. {Biomedical Image Processing - Methods and Applications}, Editor Thomas Deserno. 1ed.Berlin: Springer-Verlag, p. 181-209, 2011.

  • A. T. Neto, R. P. M. Fortes, F. C. Teixeira, L. C. D. Alves, P. H. Bugatti, O. A. Carvalho Jr. Interfaces Multimodais Dinâmicas Utilizando J2EE. In: Marcos Roberto da Silva Borges; José Gonçalves Pereira Filho. (Org.). Mini-cursos WebMedia 2008. 1ed.Vila Velha - ES: Sociedade Brasileira de Computação SBC, 2008, v. 1, p. 1-48.