A Comparative Study among Pattern Classifiers in Interactive Image Segmentation. - Thiago Vallin Spina; Javier A. Montoya-Zegarra; Fabio Andrijauskas; Fábio Augusto Faria; Carlos E. A. Zampieri; Sheila M. Pinto-Caceres; Tiago Jose de Carvalho; Alexandre X. Falcão (SIBGRAPI, 2009)

A Genetic Programming approach for coffee crop recognition. - Jefersson Alex dos Santos; Fábio Augusto Faria; Rodrigo Tripodi Calumby; Ricardo da Silva Torres; Rubens A. C. Lamparelli (IGARSS, 2010)

Learning to rank for content-based image retrieval. - Fábio Augusto Faria; Adriano Veloso; Humberto Mossri de Almeida; Eduardo Valle; Ricardo da Silva Torres; Marcos André Gonçalves; Wagner Meira Jr. (Multimedia Information Retrieval, 2010)

RECOD at ImageCLEF 2011: Medical Modality Classification using Genetic Programming. - Fábio Augusto Faria; Rodrigo Tripodi Calumby; Ricardo da Silva Torres (CLEF (Notebook Papers/Labs/Workshop), 2011)

Descriptor correlation analysis for remote sensing image multi-scale classification. - Jefersson A. dos Santos; Fábio Augusto Faria; Ricardo da Silva Torres; Anderson Rocha 001; Philippe Henri Gosselin; Sylvie Philipp-Foliguet; Alexandre X. Falcão (ICPR, 2012)

Automatic fusion of region-based classifiers for coffee crop recognition. - Fábio Augusto Faria; Jefersson Alex dos Santos; Ricardo da Silva Torres; Anderson Rocha 001; Alexandre X. Falcão (IGARSS, 2012)

Automatic Classifier Fusion for Produce Recognition. - Fábio Augusto Faria; Jefersson Alex dos Santos; Anderson Rocha 001; Ricardo da Silva Torres (SIBGRAPI, 2012)

Improving Image Classification through Descriptor Combination. - Alex F. Mansano; J. A. Matsuoka; Luis Claudio Sugi Afonso; João P. Papa; Fábio Augusto Faria; Ricardo da Silva Torres (SIBGRAPI, 2012)

Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More. - Fábio Augusto Faria; Jefersson Alex dos Santos; Sudeep Sarkar; Anderson Rocha 001; Ricardo da Silva Torres (SIBGRAPI, 2013)

Evaluation of Time Series Distance Functions in the Task of Detecting Remote Phenology Patterns. - Jose C. Conti; Fábio Augusto Faria; Jurandy Almeida; Bruna Alberton; Leonor Patricia C. Morellato; Luiz Camolesi Jr.; Ricardo da Silva Torres (ICPR, 2014)

Automatic identification of fruit flies (Diptera: Tephritidae). - Fábio Augusto Faria; P. Perre; Roberto A. Zucchi; Leonardo Ré Jorge; T. M. Lewinsohn; Anderson Rocha 001; Ricardo da Silva Torres (J. Vis. Commun. Image Represent., 2014)

A framework for selection and fusion of pattern classifiers in multimedia recognition. - Fábio Augusto Faria; Jefersson Alex dos Santos; Anderson Rocha 001; Ricardo da Silva Torres (Pattern Recognit. Lett., 2014)

Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. - Fábio Augusto Faria; Daniel C. G. Pedronette; Jefersson A. dos Santos; Anderson Rocha 001; Ricardo da Silva Torres (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

An Efficient Cloud-Based Iris Recognition Solution for Mobile Devices. - Frances Albert Santos; Fábio Augusto Faria; Azzedine Boukerche; Leandro Aparecido Villas (MobiWac, 2015)

Information fusion for cocaine dependence recognition using fMRI. - Fábio Augusto Faria; Fabio A. M. Cappabianco; Chiang-shan R. Li; Jaime S. Ide (ICPR, 2016)

Time series-based classifier fusion for fine-grained plant species recognition. - Fábio Augusto Faria; Jurandy Almeida; Bruna Alberton; Leonor Patricia C. Morellato; Anderson Rocha 001; Ricardo da Silva Torres (Pattern Recognit. Lett., 2016)

Fusion of time series representations for plant recognition in phenology studies. - Fábio Augusto Faria; Jurandy Almeida; Bruna Alberton; Leonor Patricia C. Morellato; Ricardo da Silva Torres (Pattern Recognit. Lett., 2016)

Illuminant-Based Transformed Spaces for Image Forensics. - Tiago Jose de Carvalho; Fábio Augusto Faria; Hélio Pedrini; Ricardo da Silva Torres; Anderson Rocha 001 (IEEE Trans. Inf. Forensics Secur., 2016)

Mid-level Image Representation for Fruit Fly Identification (Diptera: Tephritidae). - Matheus Macedo Leonardo; Sandra Avila; Roberto A. Zucchi; Fábio Augusto Faria (eScience, 2017)

Detrended Partial Cross Correlation for Brain Connectivity Analysis. - Jaime S. Ide; Fabio Augusto Cappabianco; Fábio Augusto Faria; Chiang-shan R. Li (NIPS, 2017)

SiRCub: A Novel Approach to Recognize Agricultural Crops Using Supervised Classification. - Jordi Creus Tomàs; Fábio Augusto Faria; Júlio César Dalla Mora Esquerdo; Alexandre Camargo Coutinho; Claudia Bauzer Medeiros (Int. J. Agric. Environ. Inf. Syst., 2017)

A Graph-based Approach for Static Ensemble Selection in Remote Sensing Image Analysis. - Fábio Augusto Faria; Sudeep Sarkar (ICPR, 2018)

A Practical Review on Medical Image Registration: From Rigid to Deep Learning Based Approaches. - Natan Andrade; Fábio Augusto Faria; Fabio Augusto Menocci Cappabianco (SIBGRAPI, 2018)

Active Learning Approaches for Deforested Area Classification. - Fernanda B. J. R. Dallaqua; Fábio Augusto Faria; Alvaro Luiz Fazenda 001 (SIBGRAPI, 2018)

Deep Feature-Based Classifiers for Fruit Fly Identification (Diptera: Tephritidae). - Matheus Macedo Leonardo; Tiago J. Carvalho; Edmar R. S. Rezende; Roberto A. Zucchi; Fábio Augusto Faria (SIBGRAPI, 2018)

A correlation-based approach for event detection in Instagram. - Elder Donizetti dos Santos; Marcos Gonçalves Quiles; Fábio Augusto Faria (J. Intell. Fuzzy Syst., 2018)

ForestEyes Project: Can Citizen Scientists Help Rainforests? - Fernanda Beatriz Jordan Rojas Dallaqua; Álvaro Luiz Fazenda 001; Fábio Augusto Faria (eScience, 2019)

Projeto ForestEyes: Uma proposta para aliar Ciência Cidadã e Aprendizado de Máquina para monitoramento de desmatamento. - Fernanda B. J. R. Dallaqua; Alvaro Luiz Fazenda 001; Fábio Augusto Faria (GEOINFO, 2020)

Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. - Álvaro R. Ferreira; Gustavo Henrique de Rosa; João P. Papa; Gustavo Carneiro 001; Fábio Augusto Faria (ICPR, 2020)

Why are Generative Adversarial Networks so Fascinating and Annoying? - Fábio Augusto Faria; Gustavo Carneiro 001 (SIBGRAPI, 2020)

Automatic Meta-Feature Engineering for CNN Fusion in Aerial Scene Classification Task. - Vinícius Veloso de Melo; Léo Françoso Dal Piccol Sotto; Matheus Macedo Leonardo; Fábio Augusto Faria (IEEE Geosci. Remote. Sens. Lett., 2020)

Improving Similarity Metric of Multi-modal MR Brain Image Registration Via a Deep Ensemble. - Natan Andrade; Fábio Augusto Faria; Fábio A. M. Cappabianco (SIBGRAPI, 2021)

Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. - Lucas Fernando Alvarenga e Silva; Daniel C. G. Pedronette; Fábio Augusto Faria; João P. Papa; Jurandy Almeida (SIBGRAPI, 2021)

ForestEyes Project: Conception, enhancements, and challenges. - Fernanda B. J. R. Dallaqua; Alvaro Luiz Fazenda 001; Fábio Augusto Faria (Future Gener. Comput. Syst., 2021)

Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. - Luiz H. Buris; Daniel C. G. Pedronette; João P. Papa; Jurandy Almeida; Gustavo Carneiro 001; Fábio Augusto Faria (ICIP, 2022)

Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests. - Guilherme B. A. Pimenta; Fernanda B. J. R. Dallaqua; Álvaro Luiz Fazenda 001; Fábio Augusto Faria (SIBGRAPI, 2022)

Os Dados dos Brasileiros sob Risco na Era da Inteligência Artificial? - Raoni F. da S. Teixeira; Rafael B. Januzi; Fábio Augusto Faria (CoRR, 2022)

An Evolutionary Approach for Creating of Diverse Classifier Ensembles. - Alvaro R. Ferreira Jr.; Fábio Augusto Faria; Gustavo Carneiro 001; Vinícius Veloso de Melo (CoRR, 2022)

Weakly supervised learning based on hypergraph manifold ranking. - João Gabriel Camacho Presotto; Samuel Felipe dos Santos; Lucas Pascotti Valem; Fábio Augusto Faria; João Paulo Papa; Jurandy Almeida; Daniel Carlos Guimarães Pedronette (J. Vis. Commun. Image Represent., 2022)

Building Data Sets for Rainforest Deforestation Detection Through a Citizen Science Project. - Fernanda Beatriz Jordan Rojas Dallaqua; Fábio Augusto Faria; Álvaro Luiz Fazenda 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Combining Deep Metric Learning Approaches for Aerial Scene Classification. - Fábio Augusto Faria; Luiz H. Buris; Fábio A. M. Cappabianco; Luís A. M. Pereira (CoRR, 2023)

A Framework of Landsat-8 Band Selection based on UMDA for Deforestation Detection. - Eduardo B. Neto; Paulo R. C. Pedro; Alvaro Luiz Fazenda 001; Fábio Augusto Faria (CoRR, 2023)

Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification. - Fábio Augusto Faria; Luiz Henrique Buris; Luís Augusto Martins Pereira; Fabio Augusto Menocci Cappabianco (GECCO, 2024)

A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task. - Eduardo Bouhid Neto; Fábio Augusto Faria; Amanda de Almeida Sales De Oliveira; Álvaro Luiz Fazenda 001 (GECCO, 2024)

Sampling Strategies Based on Wisdom of Crowds for Amazon Deforestation Detection. - Hugo Resende; Eduardo B. Neto; Fábio A. M. Cappabianco; Álvaro Luiz Fazenda 001; Fábio Augusto Faria (SIBGRAPI, 2024)

A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task. - Eduardo B. Neto; Fábio Augusto Faria; Amanda A. S. de Oliveira; Alvaro Luiz Fazenda 001 (CoRR, 2024)

FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization. - Fábio Augusto Faria; Mateus M. Souza; Raoni F. da S. Teixeira; Mauricio P. Segundo 001 (CoRR, 2024)

How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests. - Isabela Borlido; Eduardo Bouhid; Victor Sundermann; Hugo Resende; Alvaro Luiz Fazenda 001; Fábio Augusto Faria; Silvio Jamil Ferzoli Guimarães (CoRR, 2024)

Exploring Superpixel Segmentation Methods in the Context of Citizen Science and Deforestation Detection. - Hugo Resende; Isabela Borlido; Victor Sundermann; Eduardo B. Neto; Silvio Jamil Ferzoli Guimarães; Fábio Augusto Faria; Alvaro Luiz Fazenda 001 (CoRR, 2024)

How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests. - Isabela Borlido Barcelos; Eduardo Bouhid; Victor Sundermann; Hugo Resende; Alvaro Luiz Fazenda 001; Fábio Augusto Faria; Silvio Jamil Ferzoli Guimarães (IEEE Geosci. Remote. Sens. Lett., 2024)

ForestEyes: Citizen Scientists and Machine Learning-Assisting Rainforest Conservation. - Álvaro Luiz Fazenda 001; Fábio Augusto Faria (Commun. ACM, 2024)