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ORCIDFábio Augusto Faria
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- affiliation: University of Campinas, Sao Paulo, Brazil
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2020 – today
- 2023
[i6]Eduardo B. Neto, Paulo R. C. Pedro, Alvaro Luiz Fazenda, Fábio Augusto Faria:
A Framework of Landsat-8 Band Selection based on UMDA for Deforestation Detection. CoRR abs/2311.10513 (2023)- 2022
- [j12]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. J. Vis. Commun. Image Represent. 89: 103666 (2022) - [j11]Fernanda Beatriz Jordan Rojas Dallaqua, Fábio Augusto Faria, Álvaro Luiz Fazenda:
Building Data Sets for Rainforest Deforestation Detection Through a Citizen Science Project. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c25]Pimenta Guilherme B. A., Fernanda B. J. R. Dallaqua, Álvaro Luiz Fazenda, Fábio Augusto Faria:
Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests. SIBGRAPI 2022: 13-18 - [i5]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria:
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR abs/2204.13572 (2022) - [i4]Alvaro R. Ferreira Jr., Fábio Augusto Faria, Gustavo Carneiro, Vinícius Veloso de Melo:
An Evolutionary Approach for Creating of Diverse Classifier Ensembles. CoRR abs/2208.10996 (2022) - [i3]Guilherme A. Pimenta, Fernanda B. J. R. Dallaqua, Alvaro Luiz Fazenda, Fábio Augusto Faria:
Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests. CoRR abs/2208.11058 (2022) - [i2]Fernanda B. J. R. Dallaqua, Álvaro Luiz Fazenda, Fábio Augusto Faria:
ForestEyes Project: Conception, Enhancements, and Challenges. CoRR abs/2208.11687 (2022) - 2021
- [j10]Fernanda B. J. R. Dallaqua, Alvaro Luiz Fazenda, Fábio Augusto Faria:
ForestEyes Project: Conception, enhancements, and challenges. Future Gener. Comput. Syst. 124: 422-435 (2021) - [c24]Natan Andrade, Fábio Augusto Faria, Fábio A. M. Cappabianco:
Improving Similarity Metric of Multi-modal MR Brain Image Registration Via a Deep Ensemble. SIBGRAPI 2021: 105-112 - [c23]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. SIBGRAPI 2021: 168-175 - [i1]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. CoRR abs/2109.02693 (2021) - 2020
- [j9]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. IEEE Geosci. Remote. Sens. Lett. 17(9): 1652-1656 (2020) - [c22]Fernanda B. J. R. Dallaqua, Alvaro Luiz Fazenda, Fábio Augusto Faria:
Projeto ForestEyes: Uma proposta para aliar Ciência Cidadã e Aprendizado de Máquina para monitoramento de desmatamento. GEOINFO 2020: 234-239 - [c21]Álvaro R. Ferreira, Gustavo Henrique de Rosa, João P. Papa, Gustavo Carneiro, Fábio Augusto Faria:
Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. ICPR 2020: 415-422 - [c20]Fábio Augusto Faria, Gustavo Carneiro:
Why are Generative Adversarial Networks so Fascinating and Annoying? SIBGRAPI 2020: 1-8
2010 – 2019
- 2019
- [c19]Fernanda Beatriz Jordan Rojas Dallaqua, Álvaro Luiz Fazenda, Fábio Augusto Faria:
ForestEyes Project: Can Citizen Scientists Help Rainforests? eScience 2019: 18-27 - 2018
- [j8]Elder Donizetti dos Santos, Marcos Gonçalves Quiles, Fábio Augusto Faria:
A correlation-based approach for event detection in Instagram. J. Intell. Fuzzy Syst. 34(5): 2971-2982 (2018) - [c18]Fábio Augusto Faria, Sudeep Sarkar:
A Graph-based Approach for Static Ensemble Selection in Remote Sensing Image Analysis. ICPR 2018: 344-349 - [c17]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). SIBGRAPI 2018: 41-47 - [c16]Fernanda B. J. R. Dallaqua, Fábio Augusto Faria, Alvaro Luiz Fazenda:
Active Learning Approaches for Deforested Area Classification. SIBGRAPI 2018: 48-55 - [c15]Natan Andrade, Fábio Augusto Faria, Fabio Augusto Menocci Cappabianco:
A Practical Review on Medical Image Registration: From Rigid to Deep Learning Based Approaches. SIBGRAPI 2018: 463-470 - 2017
- [j7]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. Int. J. Agric. Environ. Inf. Syst. 8(4): 20-36 (2017) - [c14]Matheus Macedo Leonardo, Sandra Avila, Roberto A. Zucchi, Fábio Augusto Faria:
Mid-level Image Representation for Fruit Fly Identification (Diptera: Tephritidae). eScience 2017: 202-209 - [c13]Jaime S. Ide, Fabio Augusto Cappabianco, Fábio Augusto Faria, Chiang-shan R. Li:
Detrended Partial Cross Correlation for Brain Connectivity Analysis. NIPS 2017: 889-897 - 2016
- [j6]Fábio Augusto Faria, Jurandy Almeida, Bruna Alberton, Leonor Patricia C. Morellato, Anderson Rocha, Ricardo da Silva Torres:
Time series-based classifier fusion for fine-grained plant species recognition. Pattern Recognit. Lett. 81: 101-109 (2016) - [j5]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. Pattern Recognit. Lett. 83: 205-214 (2016) - [j4]Tiago Jose de Carvalho, Fábio Augusto Faria, Hélio Pedrini, Ricardo da Silva Torres, Anderson Rocha:
Illuminant-Based Transformed Spaces for Image Forensics. IEEE Trans. Inf. Forensics Secur. 11(4): 720-733 (2016) - [c12]Fábio Augusto Faria, Fabio A. M. Cappabianco, Chiang-shan R. Li, Jaime S. Ide:
Information fusion for cocaine dependence recognition using fMRI. ICPR 2016: 1107-1112 - 2015
- [c11]Frances Albert Santos, Fábio Augusto Faria, Azzedine Boukerche, Leandro Aparecido Villas:
An Efficient Cloud-Based Iris Recognition Solution for Mobile Devices. MobiWac 2015: 89-95 - 2014
- [j3]Fábio Augusto Faria, P. Perre, Roberto A. Zucchi, Leonardo Ré Jorge, T. M. Lewinsohn, Anderson Rocha, Ricardo da Silva Torres:
Automatic identification of fruit flies (Diptera: Tephritidae). J. Vis. Commun. Image Represent. 25(7): 1516-1527 (2014) - [j2]Fábio Augusto Faria, Jefersson Alex dos Santos, Anderson Rocha, Ricardo da Silva Torres:
A framework for selection and fusion of pattern classifiers in multimedia recognition. Pattern Recognit. Lett. 39: 52-64 (2014) - [j1]Fábio Augusto Faria, Daniel C. G. Pedronette, Jefersson A. dos Santos, Anderson Rocha, Ricardo da Silva Torres:
Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1103-1115 (2014) - [c10]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. ICPR 2014: 3126-3131 - 2013
- [c9]Fábio Augusto Faria, Jefersson Alex dos Santos, Sudeep Sarkar, Anderson Rocha, Ricardo da Silva Torres:
Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More. SIBGRAPI 2013: 16-23 - 2012
- [c8]Jefersson A. dos Santos, Fábio Augusto Faria, Ricardo da Silva Torres, Anderson Rocha, Philippe Henri Gosselin, Sylvie Philipp-Foliguet, Alexandre X. Falcão:
Descriptor correlation analysis for remote sensing image multi-scale classification. ICPR 2012: 3078-3081 - [c7]Fábio Augusto Faria, Jefersson Alex dos Santos, Ricardo da Silva Torres, Anderson Rocha, Alexandre X. Falcão:
Automatic fusion of region-based classifiers for coffee crop recognition. IGARSS 2012: 2221-2224 - [c6]Fábio Augusto Faria, Jefersson Alex dos Santos, Anderson Rocha, Ricardo da Silva Torres:
Automatic Classifier Fusion for Produce Recognition. SIBGRAPI 2012: 252-259 - [c5]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. SIBGRAPI 2012: 324-329 - 2011
- [c4]Fábio Augusto Faria, Rodrigo Tripodi Calumby, Ricardo da Silva Torres:
RECOD at ImageCLEF 2011: Medical Modality Classification using Genetic Programming. CLEF (Notebook Papers/Labs/Workshop) 2011 - 2010
- [c3]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. IGARSS 2010: 3418-3421 - [c2]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. Multimedia Information Retrieval 2010: 285-294
2000 – 2009
- 2009
- [c1]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. SIBGRAPI 2009: 268-275
Coauthor Index
aka: Fábio A. M. Cappabianco
aka: Fabio Augusto Cappabianco
aka: Fabio Augusto Menocci Cappabianco
aka: Fernanda Beatriz Jordan Rojas Dallaqua
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last updated on 2024-04-25 02:10 CEST by the dblp team
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