Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets. - Edson Takashi Matsubara; Maria Carolina Monard; Gustavo E. A. P. A. Batista (LAPTEC, 2005)

On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. - Edson Takashi Matsubara; Maria Carolina Monard; Ronaldo C. Prati (IFIP AI, 2006)

On classification, ranking, and probability estimation. - Peter A. Flach; Edson Takashi Matsubara (Probabilistic, Logical and Relational Learning - A Further Synthesis, 2007)

A Simple Lexicographic Ranker and Probability Estimator. - Peter A. Flach; Edson Takashi Matsubara (ECML, 2007)

Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach. - Edson Takashi Matsubara; Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Maria Carolina Monard (SBIA, 2008)

Relations among rankings, ROC analysis and calibration applied to machine learning. - Edson Takashi Matsubara (2008)

Uso da ferramenta PreText para mineração de textos extraídos do NCBI para estudo epistemológico da Informática em Saúde. - Eliane Colepícolo; Edson Takashi Matsubara; Alex Esteves Jaccoud Falcão; Ivan Torres Pisa (RITA, 2009)

Smart Saint: An Active Semi-supervised Learning Internet Filter. - Felipe Vargas Rigo; Murillo Nicacio Maraes; Edson Takashi Matsubara (BRACIS, 2013)

An Experimental Evaluation of Sentiment Analysis on Financial News Using Prior Polarity Words. - Eduardo Campos; Edson Takashi Matsubara (IBERAMIA, 2014)

Learning a Fast Bipartite Ranker for Text Documents Using Lexicographical Rankers and ROC Curves. - Lucas de Souza Rodrigues; Edson Takashi Matsubara; Bruno Magalhães Nogueira 001 (ICDAR, 2017)

Improving Instance Selection via Metric Learning. - Eduardo Zarate Max; Ricardo Marcondes Marcacini; Edson Takashi Matsubara (IJCNN, 2018)

PolyWaTT: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually Important Points. - Yuri Navarro Claure; Edson Takashi Matsubara; Carlos Padovani; Ronaldo Cristiano Prati (Comput. Geosci., 2018)

Counting Cars from Aerial Videos Using Deep Learning. - Caio H. S. Polidoro; Wellington V. M. de Castro; José Marcato Junior; Geison Salgado Filho; Edson Takashi Matsubara (EPIA (1), 2019)

BERT for Stock Market Sentiment Analysis. - Matheus Gomes Sousa; Kenzo Miranda Sakiyama; Lucas de Souza Rodrigues; Pedro Henrique Moraes; Eraldo Rezende Fernandes; Edson Takashi Matsubara (ICTAI, 2019)

Asphalt Pothole Detection in UAV Images Using Convolutional Neural Networks. - Yuri V. Furusho Becker; Henrique Lopes Siqueira; Edson Takashi Matsubara; Wesley Nunes Gonçalves; José Marcato Junior (IGARSS, 2019)

Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah. - David Robledo Di Martini; Veraldo Liesenberg; Everton Castelão Tetila; José Marcato Junior; Edson Takashi Matsubara; Henrique Lopes Siqueira; Amaury Antônio de Castro Junior; Márcio Santos Araújo; Carlos Henrique Monteiro; Hemerson Pistori (IGARSS, 2019)

The Impact of Ground Control Point Quantity on Area and Volume Measurements with UAV SFM Photogrammetry Applied in Open Pit Mines. - Henrique Lopes Siqueira; José Marcato Junior; Edson Takashi Matsubara; Anette Eltner; Reinaldo Almeida Colares; Fabio Martins Santos (IGARSS, 2019)

Twitter breaking news detector in the 2018 Brazilian presidential election using word embeddings and convolutional neural networks. - Kenzo Miranda Sakiyama; Andre Quintiliano Bezerra Silva; Edson Takashi Matsubara (IJCNN, 2019)

Improvement of leaf nitrogen content inference in Valencia-orange trees applying spectral analysis algorithms in UAV mounted-sensor images. - Lucas Prado Osco; Ana Paula Marques Ramos; Érika Akemi Saito Moriya; Maurício de Souza; José Marcato Junior; Edson Takashi Matsubara; Nilton Nobuhiro Imai; José Eduardo Creste (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Estimating Pasture Biomass and Canopy Height in Brazilian Savanna Using UAV Photogrammetry. - Juliana Batistoti; José Marcato Junior; Luís Ítavo; Edson Takashi Matsubara; Eva Gomes; Bianca Oliveira; Maurício de Souza; Henrique Lopes Siqueira; Geison Salgado Filho; Thales Akiyama; Wesley Nunes Gonçalves; Veraldo Liesenberg; et al. (Remote. Sens., 2019)

Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery. - Lucas Prado Osco; Ana Paula Marques Ramos; Danillo Roberto Pereira; Érika Akemi Saito Moriya; Nilton Nobuhiro Imai; Edson Takashi Matsubara; Nayara V. Estrabis; Maurício de Souza; José Marcato Junior; Wesley Nunes Gonçalves; Jonathan Li 001; Veraldo Liesenberg; et al. (Remote. Sens., 2019)

Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs. - Anderson Aparecido dos Santos; José Marcato Junior; Márcio Santos Araújo; David Robledo Di Martini; Everton Castelao Tetila; Henrique Lopes Siqueira; Camila Aoki; Anette Eltner; Edson Takashi Matsubara; Hemerson Pistori; Raul Queiroz Feitosa; Veraldo Liesenberg; et al. (Sensors, 2019)

Can Twitter Data Estimate Reality Show Outcomes? - Kenzo Miranda Sakiyama; Lucas de Souza Rodrigues; Edson Takashi Matsubara (BRACIS, 2020)

Cattle weight estimation using active contour models and regression trees Bagging. - Vanessa Aparecida de Moraes Weber; Fabricio de Lima Weber; Adair da Silva Oliveira Junior; Gilberto Astolfi; Geazy Vilharva Menezes; João Vitor de Andrade Porto; Fábio Prestes Cesar Rezende; Pedro Henrique de Moraes; Edson Takashi Matsubara; Rodrigo Gonçalves Mateus; Thiago Luís Alves Campos de Araújo; Luiz Otávio Campos Silva; et al. (Comput. Electron. Agric., 2020)

Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks. - Fabricio de Lima Weber; Vanessa Aparecida de Moraes Weber; Geazy Vilharva Menezes; Adair da Silva Oliveira Junior; Daniela Arestides Alves; Marcus Vinicius Morais de Oliveira; Edson Takashi Matsubara; Hemerson Pistori; Urbano Gomes Pinto de Abreu (Comput. Electron. Agric., 2020)

POLLEN73S: An image dataset for pollen grains classification. - Gilberto Astolfi; Ariadne Barbosa Gonçalves; Geazy Vilharva Menezes; Felipe Silveira Brito Borges; Angelica Christina Melo Nunes Astolfi; Edson Takashi Matsubara; Marco A. Alvarez; Hemerson Pistori (Ecol. Informatics, 2020)

Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery. - Wellington V. M. de Castro; José Marcato Junior; Caio H. S. Polidoro; Lucas Prado Osco; Wesley Nunes Gonçalves; Lucas de Souza Rodrigues; Mateus Santos; Liana Jank; Sanzio Barrios; Cacilda Valle; Rosangela Simeão; Camilo Carromeu; et al. (Sensors, 2020)

Mapping Utility Poles in Aerial Orthoimages Using ATSS Deep Learning Method. - Matheus Gomes; Jonathan de Andrade Silva; Diogo Nunes Gonçalves; Pedro Zamboni; Jader Perez; Edson Antonio Batista; Ana Paula Marques Ramos; Lucas Prado Osco; Edson Takashi Matsubara; Jonathan Li 001; José Marcato Junior; Wesley Nunes Gonçalves (Sensors, 2020)

Retinanet Deep Learning-Based Approach to Detect Termite Mounds in Eucalyptus Forests. - Juan Sales; José Marcato Junior; Henrique Lopes Siqueira; Maurício de Souza; Edson Takashi Matsubara; Wesley Nunes Gonçalves (IGARSS, 2021)

A review on deep learning in UAV remote sensing. - Lucas Prado Osco; José Marcato Junior; Ana Paula Marques Ramos; Lúcio André de Castro Jorge; Sarah Narges Fatholahi; Jonathan de Andrade Silva; Edson Takashi Matsubara; Hemerson Pistori; Wesley Nunes Gonçalves; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images. - Gilberto Astolfi; Marcio Carneiro Brito Pache; Geazy Vilharva Menezes; Adair da Silva Oliveira Junior; Gabriel Kirsten Menezes; Vanessa Aparecida de Moraes Weber; Everton Castelão Tetila; Nicolas Alessandro de Souza Belete; Edson Takashi Matsubara; Hemerson Pistori (IEEE Geosci. Remote. Sens. Lett., 2021)

Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images. - Pedro Zamboni; José Marcato Junior; Jonathan de Andrade Silva; Gabriela Takahashi Miyoshi; Edson Takashi Matsubara; Keiller Nogueira; Wesley Nunes Gonçalves (Remote. Sens., 2021)

Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing. - Gabriel Silva de Oliveira; José Marcato Junior; Caio H. S. Polidoro; Lucas Prado Osco; Henrique Lopes Siqueira; Lucas de Souza Rodrigues; Liana Jank; Sanzio Barrios; Cacilda Valle; Rosangela Simeão; Camilo Carromeu; Eloise Silveira; et al. (Sensors, 2021)

Entity Extraction from Portuguese Legal Documents Using Distant Supervision. - Lucas M. Navarezi; Kenzo Miranda Sakiyama; Lucas de Souza Rodrigues; Caio M. O. Robaldo; Gustavo Rocha Lobato; Paulo Arantes Vilela; Edson Takashi Matsubara; Eraldo R. Fernandes (PROPOR, 2022)

Transductive Ensemble Learning with Graph Neural Network for Speech Emotion Recognition. - Eliton Scardin Perin; Edson Takashi Matsubara (SE&R@PROPOR, 2022)

Line-based deep learning method for tree branch detection from digital images. - Rodrigo Silva; José Marcato Junior; Laisa Almeida; Diogo Nunes Gonçalves; Pedro Zamboni; Vanessa Fernandes; Jonathan de Andrade Silva; Edson Takashi Matsubara; Edson Antonio Batista; Lingfei Ma; Jonathan Li 001; Wesley Nunes Gonçalves (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Syntactic Pattern Recognition in Computer Vision: A Systematic Review. - Gilberto Astolfi; Fábio Prestes Cesar Rezende; João Vitor de Andrade Porto; Edson Takashi Matsubara; Hemerson Pistori (ACM Comput. Surv., 2022)

Counting and locating high-density objects using convolutional neural network. - Mauro dos Santos de Arruda; Lucas Prado Osco; Plabiany Rodrigo Acosta; Diogo Nunes Gonçalves; José Marcato Junior; Ana Paula Marques Ramos; Edson Takashi Matsubara; Zhipeng Luo; Jonathan Li 001; Jonathan de Andrade Silva; Wesley Nunes Gonçalves (Expert Syst. Appl., 2022)

An approach for applying natural language processing to image classification problems. - Gilberto Astolfi; Diego André Sant'Ana; João Vitor de Andrade Porto; Fábio Prestes Cesar Rezende; Everton Castelão Tetila; Edson Takashi Matsubara; Hemerson Pistori (Neurocomputing, 2022)

Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images. - Luiz Santos; José Marcato Junior; Pedro Zamboni; Mateus Santos; Liana Jank; Edilene Campos; Edson Takashi Matsubara (Sensors, 2022)

A Framework for Controversial Political Topics Identification Using Twitter Data. - Kenzo Miranda Sakiyama; Lucas de Souza Rodrigues; Bruno Magalhães Nogueira 001; Edson Takashi Matsubara; Roseli A. F. Romero (BRACIS (3), 2023)

Hyacinth macaw: a project-based learning program to develop talents in Software Engineering for Artificial Intelligence. - Awdren L. Fontão; Edson Takashi Matsubara; Henrique Mongelli; Marcio Medeiros; Carlos Lourenço; Henrique Martins; Igor Cortez; Maria Borges (SBES, 2023)

Deep4Fusion: A Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits. - Lucas de Souza Rodrigues; Edmar Caixeta Filho; Kenzo Miranda Sakiyama; Mateus Figueiredo Santos; Liana Jank; Camilo Carromeu; Eloise Silveira; Edson Takashi Matsubara; José Marcato Junior; Wesley Nunes Gonçalves (Comput. Electron. Agric., 2023)

DESCINet: A hierarchical deep convolutional neural network with skip connection for long time series forecasting. - Andre Quintiliano Bezerra Silva; Wesley Nunes Gonçalves; Edson Takashi Matsubara (Expert Syst. Appl., 2023)

Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction. - Gabriel Toshio Hirokawa Higa; Rodrigo Stuqui Monzani; Jorge Fernando da Silva Cecatto; Maria Fernanda Balestieri Mariano de Souza; Vanessa Aparecida de Moraes Weber; Hemerson Pistori; Edson Takashi Matsubara (CoRR, 2024)

Empirical Evaluation on GPU, Overclocking, and LoRA for Deep Learning on Embedded Systems. - Evandro Raphaloski; Mariana Caravanti de Souza; Edson Takashi Matsubara (IEEE Access, 2025)

DynGraph-BERT: Combining BERT and GNN Using Dynamic Graphs for Inductive Semi-Supervised Text Classification. - Eliton Scardin Perin; Mariana Caravanti de Souza; Jonathan de Andrade Silva; Edson Takashi Matsubara (Informatics, 2025)