Increasing the reliability of citizen science campaign data for deforestation detection in tropical forests.

Fábio Augusto Faria University of Campinas, Sao Paulo, Brazil http://www.ic.unicamp.br/~ffaria/ https://orcid.org/0000-0003-2956-6326

Hugo Resende Alvaro Luiz Fazenda 0001 Fábio A. M. Cappabianco Fábio Augusto Faria Increasing the reliability of citizen science campaign data for deforestation detection in tropical forests. 108081 2026 175 Future Gener. Comput. Syst. https://doi.org/10.1016/j.future.2025.108081 db/journals/fgcs/fgcs175.html#ResendeFCF26 streams/journals/fgcs

Hugo Resende Eduardo B. Neto Fabio A. M. Cappabianco Alvaro Luiz Fazenda 0001 Fábio Augusto Faria Crowd-Powered Sampling for Machine Learning: Leveraging Citizen Scientist Response Patterns in AutoML Workflows. 2026 332-342 32 J. Braz. Comput. Soc. 1 https://doi.org/10.5753/jbcs.2026.5888 db/journals/jbcs/jbcs32.html#ResendeNCFF26 streams/journals/jbcs

Hugo Resende Fábio Augusto Faria Eduardo B. Neto Isabela Borlido Victor Sundermann Silvio Jamil Ferzoli Guimarães Alvaro Luiz Fazenda 0001 Do Superpixel Segmentation Methods Influence Deforestation Image Classification? CIARP 2025 1-15 conf/ciarp/2025-1 https://doi.org/10.1007/978-3-032-23161-1_1 db/conf/ciarp/ciarp2025-1.html#ResendeFNBSGF25 streams/conf/ciarp Victor Ulisses Pugliese Diogo S. Carvalho Oséias Faria de Arruda Ferreira Fábio Augusto Faria Francisco S. Melo Optimizing 2D Packing Strategies for Autoclave Loading Using Deep Reinforcement Learning. 41-53 2025 EPIA (2) https://doi.org/10.1007/978-3-032-05179-0_4 conf/epia/2025-2 db/conf/epia/epia2025-2.html#PuglieseCFFM25 streams/conf/epia Victor Ulisses Pugliese Oséias Faria de Arruda Ferreira Fábio Augusto Faria Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning. 501-511 2025 ICEIS (1) https://doi.org/10.5220/0013292100003929 conf/iceis/2025-1 db/conf/iceis/iceis2025-1.html#PuglieseFF25 Victor Ulisses Pugliese Oséias Faria de Arruda Ferreira Fábio Augusto Faria Hybrid Flow Shop Scheduling through Reinforcement Learning: A systematic literature review. 1240-1249 2025 SAC https://doi.org/10.1145/3672608.3707903 conf/sac/2025 db/conf/sac/sac2025.html#PuglieseFF25 Gustavo Chagas Andrade Fábio Augusto Faria Sergio Ronaldo Barros dos Santos Creating an Annotated Image Dataset for Wood Vessel Segmentation. 1-6 2025 SIBGRAPI https://doi.org/10.1109/SIBGRAPI67909.2025.11223413 conf/sibgrapi/2025 db/conf/sibgrapi/sibgrapi2025.html#AndradeFS25 streams/conf/sibgrapi Vinícius D'Lucas B. e Queiroz Hugo Resende Fábio Augusto Faria Alvaro Luiz Fazenda 0001 Performance Assessment of Optical and SAR Imagery for Superpixel-Based Deforestation Mapping in the ForestEyes Project. 1-6 2025 SIBGRAPI https://doi.org/10.1109/SIBGRAPI67909.2025.11223381 conf/sibgrapi/2025 db/conf/sibgrapi/sibgrapi2025.html#QueirozRFF25 streams/conf/sibgrapi

Victor Ulisses Pugliese Oséias Faria de Arruda Ferreira Fábio Augusto Faria Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning. 2025 March abs/2503.17573 CoRR https://doi.org/10.48550/arXiv.2503.17573 db/journals/corr/corr2503.html#abs-2503-17573 streams/journals/corr

Álvaro Luiz Fazenda 0001 Fábio Augusto Faria ForestEyes: Citizen Scientists and Machine Learning-Assisting Rainforest Conservation. 95-96 2024 August 67 Commun. ACM 8 https://doi.org/10.1145/3653319 db/journals/cacm/cacm67.html#FazendaF24 streams/journals/cacm

Isabela Borlido Barcelos Eduardo Bouhid Victor Sundermann Hugo Resende Alvaro Luiz Fazenda 0001 Fábio Augusto Faria Silvio Jamil Ferzoli Guimarães How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests. 1-5 2024 21 IEEE Geosci. Remote. Sens. Lett. https://doi.org/10.1109/LGRS.2024.3454973 db/journals/lgrs/lgrs21.html#BarcelosBSRFFG24 streams/journals/lgrs

Fábio Augusto Faria Luiz Henrique Buris Luís Augusto Martins Pereira Fabio Augusto Menocci Cappabianco Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification. 2024 GECCO https://doi.org/10.1145/3638529.3653998 conf/gecco/2024 db/conf/gecco/gecco2024.html#FariaBPC24 Eduardo Bouhid Neto Fábio Augusto Faria Amanda de Almeida Sales De Oliveira Álvaro Luiz Fazenda 0001 A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task. 2024 GECCO https://doi.org/10.1145/3638529.3654000 conf/gecco/2024 db/conf/gecco/gecco2024.html#NetoFO024 Hugo Resende Eduardo B. Neto Fábio A. M. Cappabianco Álvaro Luiz Fazenda 0001 Fábio Augusto Faria Sampling Strategies Based on Wisdom of Crowds for Amazon Deforestation Detection. 1-6 2024 SIBGRAPI https://doi.org/10.1109/SIBGRAPI62404.2024.10716332 conf/sibgrapi/2024 db/conf/sibgrapi/sibgrapi2024.html#ResendeNC0F24

Eduardo B. Neto Fábio Augusto Faria Amanda A. S. de Oliveira Alvaro Luiz Fazenda 0001 A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task. 2024 abs/2404.02659 CoRR https://doi.org/10.48550/arXiv.2404.02659 db/journals/corr/corr2404.html#abs-2404-02659

Fábio Augusto Faria Mateus M. Souza Raoni F. da S. Teixeira Mauricio P. Segundo 0001 FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization. 2024 abs/2405.20259 CoRR https://doi.org/10.48550/arXiv.2405.20259 db/journals/corr/corr2405.html#abs-2405-20259

Hugo Resende Eduardo B. Neto Fabio A. M. Cappabianco Alvaro Luiz Fazenda 0001 Fábio Augusto Faria Sampling Strategies based on Wisdom of Crowds for Amazon Deforestation Detection. 2024 abs/2408.12381 CoRR https://doi.org/10.48550/arXiv.2408.12381 db/journals/corr/corr2408.html#abs-2408-12381 streams/journals/corr

Isabela Borlido Eduardo Bouhid Victor Sundermann Hugo Resende Alvaro Luiz Fazenda 0001 Fábio Augusto Faria Silvio Jamil Ferzoli Guimarães How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests. 2024 abs/2409.04330 CoRR https://doi.org/10.48550/arXiv.2409.04330 db/journals/corr/corr2409.html#abs-2409-04330 streams/journals/corr

Hugo Resende Isabela Borlido Victor Sundermann Eduardo B. Neto Silvio Jamil Ferzoli Guimarães Fábio Augusto Faria Alvaro Luiz Fazenda 0001 Exploring Superpixel Segmentation Methods in the Context of Citizen Science and Deforestation Detection. 2024 abs/2411.17922 CoRR https://doi.org/10.48550/arXiv.2411.17922 db/journals/corr/corr2411.html#abs-2411-17922 streams/journals/corr

Fábio Augusto Faria Luiz H. Buris Fábio A. M. Cappabianco Luís A. M. Pereira Combining Deep Metric Learning Approaches for Aerial Scene Classification. 2023 abs/2303.11389 CoRR https://doi.org/10.48550/arXiv.2303.11389 db/journals/corr/corr2303.html#abs-2303-11389

Eduardo B. Neto Paulo R. C. Pedro Alvaro Luiz Fazenda 0001 Fábio Augusto Faria A Framework of Landsat-8 Band Selection based on UMDA for Deforestation Detection. 2023 abs/2311.10513 CoRR https://doi.org/10.48550/arXiv.2311.10513 db/journals/corr/corr2311.html#abs-2311-10513

João Gabriel Camacho Presotto Samuel Felipe dos Santos Lucas Pascotti Valem Fábio Augusto Faria João Paulo Papa Jurandy Almeida Daniel Carlos Guimarães Pedronette Weakly supervised learning based on hypergraph manifold ranking. 103666 2022 89 J. Vis. Commun. Image Represent. https://doi.org/10.1016/j.jvcir.2022.103666 db/journals/jvcir/jvcir89.html#PresottoSVFPAP22

Fernanda Beatriz Jordan Rojas Dallaqua Fábio Augusto Faria Álvaro Luiz Fazenda 0001 Building Data Sets for Rainforest Deforestation Detection Through a Citizen Science Project. 1-5 2022 19 IEEE Geosci. Remote. Sens. Lett. https://doi.org/10.1109/LGRS.2020.3032098 https://www.wikidata.org/entity/Q114298941 db/journals/lgrs/lgrs19.html#DallaquaFF22

Luiz H. Buris Daniel C. G. Pedronette João P. Papa Jurandy Almeida Gustavo Carneiro 0001 Fábio Augusto Faria Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. 2581-2585 2022 ICIP https://doi.org/10.1109/ICIP46576.2022.9897167 conf/icip/2022 db/conf/icip/icip2022.html#BurisPPACF22 Guilherme B. A. Pimenta Fernanda B. J. R. Dallaqua Álvaro Luiz Fazenda 0001 Fábio Augusto Faria Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests. 13-18 2022 SIBGRAPI https://doi.org/10.1109/SIBGRAPI55357.2022.9991798 conf/sibgrapi/2022 db/conf/sibgrapi/sibgrapi2022.html#ADFF22

Luiz H. Buris Daniel C. G. Pedronette João P. Papa Jurandy Almeida Gustavo Carneiro 0001 Fábio Augusto Faria Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. 2022 abs/2204.13572 CoRR https://doi.org/10.48550/arXiv.2204.13572 db/journals/corr/corr2204.html#abs-2204-13572

Raoni F. da S. Teixeira Rafael B. Januzi Fábio Augusto Faria Os Dados dos Brasileiros sob Risco na Era da Inteligência Artificial? 2022 abs/2205.01772 CoRR https://doi.org/10.48550/arXiv.2205.01772 db/journals/corr/corr2205.html#abs-2205-01772

Alvaro R. Ferreira Jr. Fábio Augusto Faria Gustavo Carneiro 0001 Vinícius Veloso de Melo An Evolutionary Approach for Creating of Diverse Classifier Ensembles. 2022 abs/2208.10996 CoRR https://doi.org/10.48550/arXiv.2208.10996 db/journals/corr/corr2208.html#abs-2208-10996

Guilherme B. A. Pimenta Fernanda B. J. R. Dallaqua Alvaro Luiz Fazenda 0001 Fábio Augusto Faria Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests. 2022 abs/2208.11058 CoRR https://doi.org/10.48550/arXiv.2208.11058 db/journals/corr/corr2208.html#abs-2208-11058

Fernanda B. J. R. Dallaqua Álvaro Luiz Fazenda 0001 Fábio Augusto Faria ForestEyes Project: Conception, Enhancements, and Challenges. 2022 abs/2208.11687 CoRR https://doi.org/10.48550/arXiv.2208.11687 db/journals/corr/corr2208.html#abs-2208-11687

Fernanda B. J. R. Dallaqua Alvaro Luiz Fazenda 0001 Fábio Augusto Faria ForestEyes Project: Conception, enhancements, and challenges. 422-435 2021 124 Future Gener. Comput. Syst. https://doi.org/10.1016/j.future.2021.06.002 db/journals/fgcs/fgcs124.html#DallaquaFF21

Natan Andrade Fábio Augusto Faria Fábio A. M. Cappabianco Improving Similarity Metric of Multi-modal MR Brain Image Registration Via a Deep Ensemble. 105-112 2021 SIBGRAPI https://doi.org/10.1109/SIBGRAPI54419.2021.00023 conf/sibgrapi/2021 db/conf/sibgrapi/sibgrapi2021.html#AndradeFC21 Lucas Fernando Alvarenga e Silva Daniel C. G. Pedronette Fábio Augusto Faria João P. Papa Jurandy Almeida Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. 168-175 2021 SIBGRAPI https://doi.org/10.1109/SIBGRAPI54419.2021.00031 conf/sibgrapi/2021 db/conf/sibgrapi/sibgrapi2021.html#SilvaPFPA21

Lucas Fernando Alvarenga e Silva Daniel Carlos Guimarães Pedronette Fábio Augusto Faria João Paulo Papa Jurandy Almeida Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. 2021 abs/2109.02693 CoRR https://arxiv.org/abs/2109.02693 db/journals/corr/corr2109.html#abs-2109-02693

Vinícius Veloso de Melo Léo Françoso Dal Piccol Sotto Matheus Macedo Leonardo Fábio Augusto Faria Automatic Meta-Feature Engineering for CNN Fusion in Aerial Scene Classification Task. 1652-1656 2020 17 IEEE Geosci. Remote. Sens. Lett. 9 https://doi.org/10.1109/LGRS.2019.2950415 db/journals/lgrs/lgrs17.html#MeloSLF20

Fernanda B. J. R. Dallaqua Alvaro Luiz Fazenda 0001 Fábio Augusto Faria Projeto ForestEyes: Uma proposta para aliar Ciência Cidadã e Aprendizado de Máquina para monitoramento de desmatamento. 234-239 2020 GEOINFO http://urlib.net/rep/8JMKD3MGPDW34P/43PQSSS conf/geoinfo/2020 db/conf/geoinfo/geoinfo2020.html#Dallaqua0F20 Álvaro R. Ferreira Gustavo Henrique de Rosa João P. Papa Gustavo Carneiro 0001 Fábio Augusto Faria Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. 415-422 2020 ICPR https://doi.org/10.1109/ICPR48806.2021.9412938 conf/icpr/2020 db/conf/icpr/icpr2020.html#FerreiraRPCF20 Fábio Augusto Faria Gustavo Carneiro 0001 Why are Generative Adversarial Networks so Fascinating and Annoying? 1-8 2020 SIBGRAPI https://doi.org/10.1109/SIBGRAPI51738.2020.00009 conf/sibgrapi/2020 db/conf/sibgrapi/sibgrapi2020.html#FariaC20 Fernanda Beatriz Jordan Rojas Dallaqua Álvaro Luiz Fazenda 0001 Fábio Augusto Faria ForestEyes Project: Can Citizen Scientists Help Rainforests? 18-27 2019 eScience https://doi.org/10.1109/eScience.2019.00010 conf/eScience/2019 db/conf/eScience/eScience2019.html#DallaquaFF19

Elder Donizetti dos Santos Marcos Gonçalves Quiles Fábio Augusto Faria A correlation-based approach for event detection in Instagram. 2971-2982 2018 34 J. Intell. Fuzzy Syst. 5 https://doi.org/10.3233/JIFS-169482 db/journals/jifs/jifs34.html#SantosQF18

Fábio Augusto Faria Sudeep Sarkar A Graph-based Approach for Static Ensemble Selection in Remote Sensing Image Analysis. 344-349 2018 ICPR https://doi.org/10.1109/ICPR.2018.8545528 https://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545528 conf/icpr/2018 db/conf/icpr/icpr2018.html#FariaS18 Matheus Macedo Leonardo Tiago J. Carvalho Edmar R. S. Rezende Roberto A. Zucchi Fábio Augusto Faria Deep Feature-Based Classifiers for Fruit Fly Identification (Diptera: Tephritidae). 41-47 2018 SIBGRAPI https://doi.org/10.1109/SIBGRAPI.2018.00012 https://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2018.00012 conf/sibgrapi/2018 db/conf/sibgrapi/sibgrapi2018.html#LeonardoCRZF18 Fernanda B. J. R. Dallaqua Fábio Augusto Faria Alvaro Luiz Fazenda 0001 Active Learning Approaches for Deforested Area Classification. 48-55 2018 SIBGRAPI https://doi.org/10.1109/SIBGRAPI.2018.00013 https://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2018.00013 conf/sibgrapi/2018 db/conf/sibgrapi/sibgrapi2018.html#DallaquaFF18 Natan Andrade Fábio Augusto Faria Fabio Augusto Menocci Cappabianco A Practical Review on Medical Image Registration: From Rigid to Deep Learning Based Approaches. 463-470 2018 SIBGRAPI https://doi.org/10.1109/SIBGRAPI.2018.00066 https://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2018.00066 conf/sibgrapi/2018 db/conf/sibgrapi/sibgrapi2018.html#AndradeFC18

Jordi Creus Tomàs Fábio Augusto Faria Júlio César Dalla Mora Esquerdo Alexandre Camargo Coutinho Claudia Bauzer Medeiros SiRCub: A Novel Approach to Recognize Agricultural Crops Using Supervised Classification. 20-36 2017 8 Int. J. Agric. Environ. Inf. Syst. 4 https://doi.org/10.4018/IJAEIS.2017100102 db/journals/ijaeis/ijaeis8.html#TomasFECM17

Matheus Macedo Leonardo Sandra Avila Roberto A. Zucchi Fábio Augusto Faria Mid-level Image Representation for Fruit Fly Identification (Diptera: Tephritidae). 202-209 2017 eScience https://doi.org/10.1109/eScience.2017.33 https://www.wikidata.org/entity/Q60213536 conf/eScience/2017 db/conf/eScience/eScience2017.html#LeonardoAZF17 Jaime S. Ide Fabio Augusto Cappabianco Fábio Augusto Faria Chiang-shan R. Li Detrended Partial Cross Correlation for Brain Connectivity Analysis. 889-897 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/ffeabd223de0d4eacb9a3e6e53e5448d-Abstract.html http://papers.nips.cc/paper/6690-detrended-partial-cross-correlation-for-brain-connectivity-analysis conf/nips/2017 db/conf/nips/nips2017.html#IdeCFL17

Fábio Augusto Faria Jurandy Almeida Bruna Alberton Leonor Patricia C. Morellato Anderson Rocha 0001 Ricardo da Silva Torres Time series-based classifier fusion for fine-grained plant species recognition. 101-109 2016 81 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2015.10.016 https://www.wikidata.org/entity/Q60510739 db/journals/prl/prl81.html#FariaAAMRT16

Fábio Augusto Faria Jurandy Almeida Bruna Alberton Leonor Patricia C. Morellato Ricardo da Silva Torres Fusion of time series representations for plant recognition in phenology studies. 205-214 2016 83 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2016.03.005 https://www.wikidata.org/entity/Q60510731 db/journals/prl/prl83.html#FariaAAMT16

Tiago Jose de Carvalho Fábio Augusto Faria Hélio Pedrini Ricardo da Silva Torres Anderson Rocha 0001 Illuminant-Based Transformed Spaces for Image Forensics. 720-733 2016 11 IEEE Trans. Inf. Forensics Secur. 4 https://doi.org/10.1109/TIFS.2015.2506548 db/journals/tifs/tifs11.html#CarvalhoFPTR16

Fábio Augusto Faria Fabio A. M. Cappabianco Chiang-shan R. Li Jaime S. Ide Information fusion for cocaine dependence recognition using fMRI. 1107-1112 2016 ICPR https://doi.org/10.1109/ICPR.2016.7899784 conf/icpr/2016 db/conf/icpr/icpr2016.html#FariaCLI16 Frances Albert Santos Fábio Augusto Faria Azzedine Boukerche Leandro Aparecido Villas An Efficient Cloud-Based Iris Recognition Solution for Mobile Devices. 89-95 2015 MobiWac https://doi.org/10.1145/2810362.2810373 conf/mobiwac/2015 db/conf/mobiwac/mobiwac2015.html#SantosFBV15

Fábio Augusto Faria P. Perre Roberto A. Zucchi Leonardo Ré Jorge T. M. Lewinsohn Anderson Rocha 0001 Ricardo da Silva Torres Automatic identification of fruit flies (Diptera: Tephritidae). 1516-1527 2014 25 J. Vis. Commun. Image Represent. 7 https://doi.org/10.1016/j.jvcir.2014.06.014 https://www.wikidata.org/entity/Q57065081 db/journals/jvcir/jvcir25.html#FariaPZJLRT14

Fábio Augusto Faria Jefersson Alex dos Santos Anderson Rocha 0001 Ricardo da Silva Torres A framework for selection and fusion of pattern classifiers in multimedia recognition. 52-64 2014 39 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2013.07.014 db/journals/prl/prl39.html#FariaSRT14

Fábio Augusto Faria Daniel C. G. Pedronette Jefersson A. dos Santos Anderson Rocha 0001 Ricardo da Silva Torres Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. 1103-1115 2014 7 IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4 https://doi.org/10.1109/JSTARS.2014.2303813 db/journals/staeors/staeors7.html#FariaPSRT14

Jose C. Conti Fábio Augusto Faria Jurandy Almeida Bruna Alberton Leonor Patricia C. Morellato Luiz Camolesi Jr. Ricardo da Silva Torres Evaluation of Time Series Distance Functions in the Task of Detecting Remote Phenology Patterns. 3126-3131 2014 ICPR https://doi.org/10.1109/ICPR.2014.539 https://doi.ieeecomputersociety.org/10.1109/ICPR.2014.539 https://www.wikidata.org/entity/Q60510749 conf/icpr/2014 db/conf/icpr/icpr2014.html#ContiFAAMCT14 Fábio Augusto Faria Jefersson Alex dos Santos Sudeep Sarkar Anderson Rocha 0001 Ricardo da Silva Torres Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More. 16-23 2013 SIBGRAPI https://doi.org/10.1109/SIBGRAPI.2013.12 https://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.12 conf/sibgrapi/2013 db/conf/sibgrapi/sibgrapi2013.html#FariaSSRT13 Jefersson A. dos Santos Fábio Augusto Faria Ricardo da Silva Torres Anderson Rocha 0001 Philippe Henri Gosselin Sylvie Philipp-Foliguet Alexandre X. Falcão Descriptor correlation analysis for remote sensing image multi-scale classification. 3078-3081 2012 ICPR https://ieeexplore.ieee.org/document/6460815/ conf/icpr/2012 db/conf/icpr/icpr2012.html#SantosFTRGPF12 Fábio Augusto Faria Jefersson Alex dos Santos Ricardo da Silva Torres Anderson Rocha 0001 Alexandre X. Falcão Automatic fusion of region-based classifiers for coffee crop recognition. 2221-2224 2012 IGARSS https://doi.org/10.1109/IGARSS.2012.6351058 conf/igarss/2012 db/conf/igarss/igarss2012.html#FariaSTRF12 Fábio Augusto Faria Jefersson Alex dos Santos Anderson Rocha 0001 Ricardo da Silva Torres Automatic Classifier Fusion for Produce Recognition. 252-259 2012 SIBGRAPI https://doi.org/10.1109/SIBGRAPI.2012.42 https://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.42 conf/sibgrapi/2012 db/conf/sibgrapi/sibgrapi2012.html#FariaSRT12 Alex F. Mansano J. A. Matsuoka Luis Claudio Sugi Afonso João P. Papa Fábio Augusto Faria Ricardo da Silva Torres Improving Image Classification through Descriptor Combination. 324-329 2012 SIBGRAPI https://doi.org/10.1109/SIBGRAPI.2012.52 https://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.52 conf/sibgrapi/2012 db/conf/sibgrapi/sibgrapi2012.html#MansanoMAPFT12 Fábio Augusto Faria Rodrigo Tripodi Calumby Ricardo da Silva Torres RECOD at ImageCLEF 2011: Medical Modality Classification using Genetic Programming. 2011 CLEF (Notebook Papers/Labs/Workshop) https://ceur-ws.org/Vol-1177/CLEF2011wn-ImageCLEF-FariaEt2011.pdf http://www.clef-initiative.eu/documents/71612/86377/CLEF2011wn-ImageCLEF-FariaEt2011.pdf conf/clef/2011w db/conf/clef/clef2011w.html#FariaCT11 Jefersson Alex dos Santos Fábio Augusto Faria Rodrigo Tripodi Calumby Ricardo da Silva Torres Rubens A. C. Lamparelli A Genetic Programming approach for coffee crop recognition. 3418-3421 2010 conf/igarss/2010 IGARSS https://doi.org/10.1109/IGARSS.2010.5650273 db/conf/igarss/igarss2010.html#SantosFCTL10 Fábio Augusto Faria Adriano Veloso Humberto Mossri de Almeida Eduardo Valle Ricardo da Silva Torres Marcos André Gonçalves Wagner Meira Jr. Learning to rank for content-based image retrieval. 285-294 2010 Multimedia Information Retrieval https://doi.org/10.1145/1743384.1743434 conf/mir/2010 db/conf/mir/mir2010.html#FariaVAVTGM10 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 A Comparative Study among Pattern Classifiers in Interactive Image Segmentation. 268-275 2009 SIBGRAPI https://doi.org/10.1109/SIBGRAPI.2009.45 https://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2009.45 conf/sibgrapi/2009 db/conf/sibgrapi/sibgrapi2009.html#SpinaMAFZPCF09 Luis C. S. AfonsoLuis Claudio Sugi Afonso Bruna Alberton Humberto Mossri de Almeida Jurandy Almeida Gustavo Chagas Andrade Natan Andrade Fabio Andrijauskas Sandra Eliza Fontes de AvilaSandra Avila Isabela Borlido Barcelos Isabela Borlido Eduardo Bouhid Azzedine Boukerche Luiz H. BurisLuiz Henrique Buris Rodrigo Tripodi Calumby Luiz Camolesi Jr. Fabio A. M. CappabiancoFábio A. M. CappabiancoFabio Augusto CappabiancoFabio Augusto Menocci Cappabianco Gustavo Carneiro 0001 Diogo S. Carvalho Tiago J. Carvalho Tiago Jose de Carvalho Jose C. Conti Alexandre Camargo Coutinho Fernanda B. J. R. DallaquaFernanda Beatriz Jordan Rojas Dallaqua Júlio C. D. M. EsquerdoJúlio César Dalla Mora Esquerdo Alexandre X. Falcão Alvaro Luiz Fazenda 0001Álvaro Luiz Fazenda 0001 Álvaro R. Ferreira Oséias Faria de Arruda Ferreira Alvaro R. Ferreira Jr. Marcos André Gonçalves Philippe Henri Gosselin Silvio Jamil Ferzoli Guimarães Jaime Shinsuke IdeJaime S. Ide Rafael B. Januzi Leonardo Ré Jorge Rubens A. C. Lamparelli Matheus Macedo Leonardo T. M. Lewinsohn Chiang-shan Ray LiChiang-shan R. Li Alex F. Mansano J. A. Matsuoka Claudia Bauzer Medeiros Wagner Meira Jr. Francisco S. Melo Vinícius Veloso de Melo Javier A. Montoya-Zegarra Leonor Patricia C. Morellato Eduardo B. NetoEduardo Bouhid Neto Amanda A. S. de Oliveira Amanda de Almeida Sales De Oliveira João Paulo PapaJoão P. Papa Hélio Pedrini Paulo R. C. Pedro Daniel C. G. PedronetteDaniel Carlos Guimarães Pedronette Luís A. M. PereiraLuís Augusto Martins Pereira P. Perre Sylvie Philipp-Foliguet Guilherme B. A. Pimenta Sheila M. Pinto-Caceres João Gabriel Camacho Presotto Victor Ulisses Pugliese Vinícius D'Lucas B. e Queiroz Marcos G. QuilesMarcos Gonçalves Quiles Hugo Resende Edmar R. S. Rezende Anderson Rocha 0001 Gustavo H. RosaGustavo Henrique de Rosa Elder Donizetti dos Santos Frances Albert Santos Jefersson A. dos SantosJefersson Alex dos Santos Samuel Felipe dos Santos Sergio Ronaldo Barros dos Santos Sudeep Sarkar Maurício Pamplona SegundoMauricio P. Segundo 0001 Lucas Fernando Alvarenga e Silva Léo Françoso Dal Piccol Sotto Mateus M. Souza Thiago Vallin Spina Victor Sundermann Raoni F. da S. Teixeira Jordi Creus Tomàs Ricardo da Silva Torres Lucas Pascotti Valem Eduardo Valle Adriano Veloso Leandro A. VillasLeandro Aparecido Villas Carlos E. A. Zampieri Roberto A. Zucchi