Pedro H. Bugatti
Cited by
Cited by
Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques
MX Ribeiro, PH Bugatti, C Traina Jr, PMA Marques, NA Rosa, AJM Traina
Data & Knowledge Engineering 68 (12), 1370-1382, 2009
Assessing the best integration between distance-function and image-feature to answer similarity queries
PH Bugatti, AJM Traina, C Traina Jr
Proceedings of the 2008 ACM symposium on Applied computing, 1225-1230, 2008
Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants
TC Negri, WAL Alves, PH Bugatti, PTM Saito, DS Domingues, ...
Briefings in bioinformatics 20 (2), 682-689, 2019
FMI-SiR: A flexible and efficient module for similarity searching on Oracle database
DS Kaster, PH Bugatti, AJM Traina, C Traina Jr
Journal of Information and Data Management 1 (2), 229-229, 2010
MedFMI-SiR: A powerful DBMS solution for large-scale medical image retrieval
DS Kaster, PH Bugatti, M Ponciano-Silva, AJM Traina, P Marques, ...
International Conference on Information Technology in Bio-and Medical …, 2011
Breast cancer diagnosis through active learning in content-based image retrieval
RS Bressan, PH Bugatti, PTM Saito
Neurocomputing 357, 1-10, 2019
PRoSPer: perceptual similarity queries in medical CBIR systems through user profiles
PH Bugatti, DS Kaster, M Ponciano-Silva, C Traina Jr, ...
Computers in Biology and Medicine 45, 8-19, 2014
TERL: classification of transposable elements by convolutional neural networks
MHP da Cruz, DS Domingues, PTM Saito, AR Paschoal, PH Bugatti
Briefings in bioinformatics 22 (3), bbaa185, 2021
Classification of texture based on bag-of-visual-words through complex networks
GVL de Lima, PTM Saito, FM Lopes, PH Bugatti
Expert Systems with Applications 133, 215-224, 2019
Does a CBIR system really impact decisions of physicians in a clinical environment?
M Ponciano-Silva, JP Souza, PH Bugatti, MVN Bedo, DS Kaster, ...
Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013
Contributing to agriculture by using soybean seed data from the tetrazolium test
DF Pereira, PH Bugatti, FM Lopes, ALSM Souza, PTM Saito
Data in Brief 23, 103652, 2019
A complex network-based approach to the analysis and classification of images
GVL de Lima, TR Castilho, PH Bugatti, P Saito, FM Lopes
Iberoamerican Congress on Pattern Recognition, 322-330, 2015
Feature extraction and selection for decision making
AJM Traina, C Traina, AGR Balan, MX Ribeiro, PH Bugatti, ...
Biomedical Image Processing, 197-223, 2010
Content-based retrieval of medical images: from context to perception
PH Bugatti, M Ponciano-Silva, AJM Traina, C Traina, PMA Marques
2009 22nd IEEE International Symposium on Computer-Based Medical Systems, 1-8, 2009
Content-based retrieval of medical images by continuous feature selection
PH Bugatti, MX Ribeiro, AJM Traina, CT Junior
2008 21st IEEE International Symposium on Computer-Based Medical Systems …, 2008
DOCToR: the role of deep features in content-based mammographic image retrieval
RS Bressan, DHA Alves, LM Valerio, PH Bugatti, PTM Saito
2018 IEEE 31st International Symposium on Computer-Based Medical Systems …, 2018
Análise da influência de funçoes de distância para o processamento de consultas por similaridade em recuperaçao de imagens por conteúdo
PH Bugatti
Universidade de São Paulo, 2008
Classification of transposable elements by convolutional neural networks
MHP da Cruz, P Saito, AR Paschoal, PH Bugatti
International Conference on Artificial Intelligence and Soft Computing, 157-168, 2019
Active semi-supervised learning for biological data classification
G Camargo, PH Bugatti, PTM Saito
PLoS One 15 (8), e0237428, 2020
Exploring active learning based on representativeness and uncertainty for biomedical data classification
RS Bressan, G Camargo, PH Bugatti, PTM Saito
IEEE journal of biomedical and health informatics 23 (6), 2238-2244, 2018
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