Hidden Markov Models Applied to Snakes Behavior Identification. - Wesley Nunes Gonçalves; Jonathan de Andrade Silva; Bruno Brandoli Machado; Hemerson Pistori; Albert Schiaveto de Souza (PSIVT, 2007)

Multiple Mice Tracking using a Combination of Particle Filter and K-Means. - Wesley Nunes Gonçalves; João Bosco Oliveira Monteiro; Jonathan de Andrade Silva; Bruno Brandoli Machado; Hemerson Pistori; Valguima Odakura (SIBGRAPI, 2007)

An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks. - Jonathan de Andrade Silva; Eduardo R. Hruschka (HAIS, 2009)

EACImpute: An Evolutionary Algorithm for Clustering-Based Imputation. - Jonathan de Andrade Silva; Eduardo R. Hruschka (ISDA, 2009)

A Rotation Invariant Face Recognition Method Based on Complex Network. - Wesley Nunes Gonçalves; Jonathan de Andrade Silva; Odemir Martinez Bruno (CIARP, 2010)

Comparison of Shape Descriptors for Mice Behavior Recognition. - Jonathan de Andrade Silva; Wesley Nunes Gonçalves; Bruno Brandoli Machado; Hemerson Pistori; Albert Schiaveto de Souza; Kleber Padovani de Souza (CIARP, 2010)

Mice and larvae tracking using a particle filter with an auto-adjustable observation model. - Hemerson Pistori; Valguima Victoria Viana Aguiar Odakura; João Bosco Oliveira Monteiro; Wesley Nunes Gonçalves; Antonia Railda Roel; Jonathan de Andrade Silva; Bruno Brandoli Machado (Pattern Recognit. Lett., 2010)

Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters. - Jonathan de Andrade Silva; Eduardo R. Hruschka (ICMLA (2), 2011)

Data stream clustering: A survey. - Jonathan de Andrade Silva; Elaine R. Faria; Rodrigo C. Barros; Eduardo R. Hruschka; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (ACM Comput. Surv., 2013)

An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks. - Jonathan de Andrade Silva; Eduardo R. Hruschka (Data Knowl. Eng., 2013)

Clustering data streams with automatic estimation of the number of cluster. - Jonathan de Andrade Silva (2015)

A Support System for Clustering Data Streams with a Variable Number of Clusters. - Jonathan de Andrade Silva; Eduardo Raul Hruschka (ACM Trans. Auton. Adapt. Syst., 2016)

Scalable Data Stream Clustering with k Estimation. - Paulo G. L. Candido; Murilo Coelho Naldi; Jonathan de Andrade Silva; Elaine R. Faria (BRACIS, 2017)

An evolutionary algorithm for clustering data streams with a variable number of clusters. - Jonathan de Andrade Silva; Eduardo Raul Hruschka; João Gama 001 (Expert Syst. Appl., 2017)

Scalable Batch Stream Clustering with k Estimation. - Paulo G. L. Candido; Jonathan de Andrade Silva; Elaine R. Faria; Murilo Coelho Naldi (CEC, 2018)

Novelty Detection for Multi-Label Stream Classification. - Joel D. Costa Júnior; Elaine Ribeiro de Faria; Jonathan de Andrade Silva; João Gama 001; Ricardo Cerri (BRACIS, 2019)

Pruned Sets for Multi-Label Stream Classification without True Labels. - Joel D. Costa Júnior; Elaine R. Faria; Jonathan de Andrade Silva; João Gama 001; Ricardo Cerri (IJCNN, 2019)

Fractal dimension of bag-of-visual words. - Lucas Correia Ribas; Diogo Nunes Gonçalves; Jonathan de Andrade Silva; Amaury Antônio de Castro Jr.; Odemir Martinez Bruno; Wesley Nunes Gonçalves (Pattern Anal. Appl., 2019)

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)

Storm-Drain and Manhole Detection Using the RetinaNet Method. - Anderson Aparecido dos Santos; José Marcato Junior; Jonathan de Andrade Silva; Rodrigo Pereira; Daniel Matos; Geazy Menezes; Leandro Higa; Anette Eltner; Ana Paula Marques Ramos; Lucas Prado Osco; Wesley Nunes Gonçalves (Sensors, 2020)

Integration of Photogrammetry and Deep Learning in Earth Observation Applications. - José Marcato Junior; Pedro Zamboni; Mariana Batista Campos; Ana Paula Marques Ramos; Lucas Prado Osco; Jonathan de Andrade Silva; Wesley Nunes Gonçalves; Jonathan Li 001 (IGARSS, 2021)

Assessment of CNN-Based Methods for Single Tree Detection on High-Resolution RGB Images in Urban Areas. - Pedro Alberto Pereira ZamboniThgeThe; José Marcato Junior; Gabriela Takahashi Miyoshi; Jonathan de Andrade Silva; José Augusto Correa Martins; 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)

Semantic Segmentation with Labeling Uncertainty and Class Imbalance. - Patrik Olã Bressan; José Marcato Junior; José Augusto Correa Martins; Diogo Nunes Gonçalves; Daniel Matte Freitas; Lucas Prado Osco; Jonathan de Andrade Silva; Zhipeng Luo; Jonathan Li 001; Raymundo Cordero Garcia; Wesley Nunes Gonçalves (CoRR, 2021)

ATSS Deep Learning-Based Approach to Detect Apple Fruits. - Leonardo Josoé Biffi; Edson A. Mitishita; Veraldo Liesenberg; Anderson Aparecido dos Santos; Diogo Nunes Gonçalves; Nayara V. Estrabis; Jonathan de Andrade Silva; Lucas Prado Osco; Ana Paula Marques Ramos; Jorge Antonio Silva Centeno; Marcos Benedito Schimalski; Leo Rufato; et al. (Remote. Sens., 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)

Semantic segmentation with labeling uncertainty and class imbalance applied to vegetation mapping. - Patrik Olã Bressan; José Marcato Junior; José Augusto Correa Martins; Maximilian Jaderson de Melo; Diogo Nunes Gonçalves; Daniel Matte Freitas; Ana Paula Marques Ramos; Michelle Taís Garcia Furuya; Lucas Prado Osco; Jonathan de Andrade Silva; Zhipeng Luo; Raymundo Cordero Garcia; et al. (Int. J. Appl. Earth Obs. Geoinformation, 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)

Automatic segmentation of cattle rib-eye area in ultrasound images using the UNet++ deep neural network. - Maximilian Jaderson de Melo; Diogo Nunes Gonçalves; Marina de Nadai Bonin Gomes; Gedson Faria; Jonathan de Andrade Silva; Ana Paula Marques Ramos; Lucas Prado Osco; Michelle Taís Garcia Furuya; José Marcato Junior; Wesley Nunes Gonçalves (Comput. Electron. Agric., 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)

Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery. - Leandro Higa; José Marcato Junior; Thiago R. Rodrigues; Pedro Zamboni; Rodrigo Silva; Laisa Almeida; Veraldo Liesenberg; Fábio Roque; Renata Libonati; Wesley Nunes Gonçalves; Jonathan de Andrade Silva (Remote. Sens., 2022)

Novelty detection for multi-label stream classification under extreme verification latency. - Joel D. Costa; Elaine R. Faria; Jonathan de Andrade Silva; João Gama 001; Ricardo Cerri (Appl. Soft Comput., 2023)

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)