| 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 | 60 | 2019 |
| Robust active learning for the diagnosis of parasites PTM Saito, CTN Suzuki, JF Gomes, PJ de Rezende, AX Falcao Pattern Recognition 48 (11), 3572-3583, 2015 | 53 | 2015 |
| Breast cancer diagnosis through active learning in content-based image retrieval RS Bressan, PH Bugatti, PTM Saito Neurocomputing 357, 1-10, 2019 | 36 | 2019 |
| 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 | 34 | 2021 |
| An active learning paradigm based on a priori data reduction and organization PTM Saito, PJ de Rezende, AX Falcao, CTN Suzuki, JF Gomes Expert Systems with Applications 41 (14), 6086-6097, 2014 | 27 | 2014 |
| Active semi-supervised learning for biological data classification G Camargo, PH Bugatti, PTM Saito PLoS One 15 (8), e0237428, 2020 | 24 | 2020 |
| 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 | 24 | 2019 |
| Superpixel-based interactive classification of very high resolution images JE Vargas, PTM Saito, AX Falcao, PJ De Rezende, JA Dos Santos 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images, 173-179, 2014 | 23 | 2014 |
| 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 | 21 | 2019 |
| 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 | 21 | 2018 |
| A complex network-based approach to the analysis and classification of images GVL de Lima, TR Castilho, PH Bugatti, PTM Saito, FM Lopes Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015 | 21 | 2015 |
| 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 | 16 | 2018 |
| Choosing the most effective pattern classification model under learning-time constraint PTM Saito, RYM Nakamura, WP Amorim, JP Papa, PJ de Rezende, ... PloS one 10 (6), e0129947, 2015 | 16 | 2015 |
| A data reduction and organization approach for efficient image annotation PTM Saito, PJ de Rezende, AX Falcão, CTN Suzuki, JF Gomes Proceedings of the 28th annual ACM symposium on applied computing, 53-57, 2013 | 16 | 2013 |
| Classification of skin lesion through active learning strategies LG Batista, PH Bugatti, PTM Saito Computer Methods and Programs in Biomedicine 226, 107122, 2022 | 13 | 2022 |
| Improving active learning with sharp data reduction PTM Saito, PJ de Rezende, AX Falcão, CTN Suzuki, JF Gomes WSCG'2012, 2012 | 13 | 2012 |
| Classification of transposable elements by convolutional neural networks MHP da Cruz, PTM Saito, AR Paschoal, PH Bugatti Artificial Intelligence and Soft Computing: 18th International Conference …, 2019 | 10 | 2019 |
| An image analysis framework for effective classification of seed damages DF Pereira, PTM Saito, PH Bugatti Proceedings of the 31st Annual ACM Symposium on Applied Computing, 61-66, 2016 | 10 | 2016 |
| Automatic visual quality assessment of biscuits using machine learning M de Sousa Silva, LF Cruz, PH Bugatti, PTM Saito Artificial Intelligence and Soft Computing: 19th International Conference …, 2020 | 8 | 2020 |
| Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples LM Peres, S Barbon Jr, EM Fuzyi, APAC Barbon, DF Barbin, PTM Saito, ... Computers and electronics in agriculture 150, 455-464, 2018 | 8 | 2018 |
Pedro H. BugattiFederal University of São Carlos - UFSCarVerified email at ufscar.br
