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Fabio Augusto Faria holds a M.Sc. and Ph.D. in Computer Science from the State University of Campinas (UNICAMP), Brazil (2010 and 2014), and a B.Sc. in Computer Science from the State University of São Paulo (UNESP), Brazil (2007). In 2019/2020, he was a visiting researcher at the Australian Institute for Machine Learning (AIML) at The University of Adelaide, Australia. Between 2015 and 2024, he served as an Assistant Professor at the Federal University of São Paulo (UNIFESP), Brazil. He is currently an Assistant Professor at the Instituto Superior Técnico (IST) at the University of Lisbon (Ulisboa). His research expertise spans information fusion, machine learning, and image processing, with a particular focus on improving the robustness of machine learning models in data-scarce scenarios, such as deforestation detection in tropical forests.
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Identification

Personal identification

Full name
Fabio Augusto Faria

Citation names

  • Faria, Fabio
  • Faria, Fabio A.

Author identifiers

Ciência ID
EF1A-9DBB-008A
ORCID iD
0000-0003-2956-6326

Email addresses

  • fabio.faria@tecnico.ulisboa.pt (Professional)

Telephones

Mobile phone
  • 916233857 (Personal)

Addresses

  • Praceta Antônio de Sousa n. 2 lote 1 - Andar 1 ESQ, 2760-144, Lisboa, Oeiras, Portugal (Personal)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Computer Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Upper intermediate (B2) Advanced (C1) Advanced (C1) Upper intermediate (B2) Advanced (C1)
Education
Degree Classification
2019/07 - 2020/09
Concluded
 Pós-doutoramento (Pós-doutoramento)
Major in Inteligência Artificial
The University of Adelaide School of Computer and Mathematical Sciences, Australia
2014/03 - 2015/03
Concluded
 Pós-doutoramento (Pós-doutoramento)
Universidade Estadual de Campinas, Brazil
2010/03 - 2014/03
Concluded
 Ciência da Computação (Doutoramento)
Universidade Estadual de Campinas, Brazil
2008/03 - 2010/03
Concluded
 Ciência da Computação (Master)
Universidade Estadual de Campinas, Brazil
2003/03 - 2007/12
Concluded
 Ciência da Computação (Licenciatura)
Universidade Estadual Paulista Júlio de Mesquita Filho - Câmpus de Presidente Prudente, Brazil
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2024/11 - Current Assistant Professor (University Teacher) Universidade de Lisboa Instituto Superior Técnico, Portugal
Universidade de Lisboa Departamento de Engenharia Informática, Portugal
2015/03 - 2024/11 Assistant Professor (University Teacher) Universidade Federal de São Paulo, Brazil
Projects

Grant

Designation Funders
2019/07 - 2020/09 Towards the Robustness in Deep Learning Architectures
2018/23908-1
 Fundação de Amparo à Pesquisa do Estado de São Paulo

Contract

Designation Funders
2019/02 - 2023/01 Weakly Supervised Learning for Compressed Video Analysis on Retrieval and Classification Tasks for Visual Alert
2017/25908-6
Researcher
Universidade Estadual Paulista Júlio de Mesquita Filho - Câmpus de Bauru, Brazil
 Fundação de Amparo à Pesquisa do Estado de São Paulo
Concluded
2017/08 - 2020/07 Information Fusion Methods for e-Science Applications
408919/2016-7
Principal investigator
Conselho Nacional de Desenvolvimento Científico e Tecnológico

Other

Designation Funders
2016 - 2021 Capes-PAEP: Event Financial Support (SIBGRAPI 2016)
8881.121844/2016-01
Principal investigator
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Outputs

Publications

Conference paper
  1. Fabio Augusto Faria; Luiz Henrique Buris; Luis Augusto Martins Pereira; Fabio Augusto Menocci Cappabianco. "Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification". 2024.
    10.1145/3638529.3653998
  2. Eduardo Bouhid Neto; Fabio Augusto Faria; Amanda de Almeida Sales De Oliveira; Alvaro Luiz Fazenda. "A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task". 2024.
    10.1145/3638529.3654000
  3. Raoni F. da S. Teixeira; Rafael B. Januzi; Fabio A. Faria. "The Brazilian Data at Risk in the Age of AI?". 2022.
    10.5753/eniac.2022.227520
  4. Pimenta Guilherme B. A.; Dallaqua Fernanda B. J. R.; Alvaro Fazenda; Fabio A. Faria. "Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests". 2022.
    10.1109/sibgrapi55357.2022.9991798
  5. Natan Andrade; Fabio A Faria; Fabio A M Cappabianco. "Improving Similarity Metric of Multi-modal MR Brain Image Registration Via a Deep Ensemble". 2021.
    10.1109/sibgrapi54419.2021.00023
  6. Lucas F. A. Silva; Daniel C. G. Pedronette; Fabio A. Faria; Joao P. Papa; Jurandy Almeida. "Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers". 2021.
    10.1109/sibgrapi54419.2021.00031
  7. Alvaro R. Ferreira; Gustavo H. de Rosa; Joao P. Papa; Gustavo Carneiro; Fabio A. Faria. "Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification". 2021.
    10.1109/icpr48806.2021.9412938
  8. Fabio Augusto faria; Gustavo Carneiro. "Why are Generative Adversarial Networks so Fascinating and Annoying?". 2020.
    10.1109/sibgrapi51738.2020.00009
  9. Fernanda Beatriz Jordan Rojas Dallaqua; Alvaro Luiz Fazenda; Fabio Augusto Faria. "ForestEyes Project: Can Citizen Scientists Help Rainforests?". 2019.
    10.1109/escience.2019.00010
  10. Fernanda B. J. R. Dallaqua; Fabio A. Faria; Alvaro L. Fazenda. "Active Learning Approaches for Deforested Area Classification". 2018.
    10.1109/sibgrapi.2018.00013
  11. Natan Andrade; Fabio Augusto Faria; Fabio Augusto Menocci Cappabianco. "A Practical Review on Medical Image Registration: From Rigid to Deep Learning Based Approaches". 2018.
    10.1109/sibgrapi.2018.00066
  12. Matheus Macedo Leonardo; Tiago J. Carvalho; Edmar Rezende; Roberto Zucchi; Fabio Augusto Faria. "Deep Feature-Based Classifiers for Fruit Fly Identification (Diptera: Tephritidae)". 2018.
    10.1109/sibgrapi.2018.00012
  13. Fabio Augusto Faria; Sudeep Sarkar. "A Graph-based Approach for Static Ensemble Selection in Remote Sensing Image Analysis". 2018.
    10.1109/icpr.2018.8545528
  14. Matheus Macedo Leonardo; Sandra Avila; Roberto A. Zucchi; Fabio A. Faria. "Mid-level Image Representation for Fruit Fly Identification (Diptera: Tephritidae)". 2017.
    10.1109/escience.2017.33
  15. "An Efficient Cloud-Based Iris Recognition Solution for Mobile Devices". 2015.
    10.1145/2810362.2810373
  16. "Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More". 2013.
    10.1109/sibgrapi.2013.12
Conference poster
  1. "Information fusion for cocaine dependence recognition using fMRI". 2016.
    10.1109/icpr.2016.7899784
Journal article
  1. Álvaro L. Fazenda; Fabio A. Faria. "ForestEyes: Citizen Scientists and Machine Learning-Assisting Rainforest Conservation". Communications of the ACM (2024): https://doi.org/10.1145/3653319.
    10.1145/3653319
  2. Isabela Borlido; Eduardo Bouhid; Victor Sundermann; Hugo Resende; Alvaro Luiz Fazenda; Fabio Faria; Silvio Jamil F. Guimar. "How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests". IEEE Geoscience and Remote Sensing Letters (2024): https://doi.org/10.1109/LGRS.2024.3454973.
    10.1109/LGRS.2024.3454973
  3. João Gabriel Camacho Presotto; Samuel Felipe dos Santos; Lucas Pascotti Valem; Fabio Augusto Faria; João Paulo Papa; Jurandy Almeida; Daniel Carlos Guimarães Pedronette. "Weakly supervised learning based on hypergraph manifold ranking". Journal of Visual Communication and Image Representation (2022): http://dx.doi.org/10.1016/j.jvcir.2022.103666.
    10.1016/j.jvcir.2022.103666
  4. Fernanda Beatriz Jordan Rojas Dallaqua; Fabio Augusto Faria; Alvaro Luiz Fazenda. "Building Data Sets for Rainforest Deforestation Detection Through a Citizen Science Project". IEEE Geoscience and Remote Sensing Letters (2022): 1-5. https://doi.org/10.1109/LGRS.2020.3032098.
    10.1109/LGRS.2020.3032098
  5. "ForestEyes Project: Conception, enhancements, and challenges". Future Generation Computer Systems 124 (2021): 422-435. http://dx.doi.org/10.1016/j.future.2021.06.002.
    10.1016/j.future.2021.06.002
  6. Alexandre H. Aono; Yan Chai Hum; James S. Nagai; Gabriella da S. M. Dickel; Rafaela C. Marinho; Paulo E. A. M. de Oliveira; João P. Papa; Fabio A. Faria. "A stomata classification and detection system in microscope images of maize cultivars". PLOS ONE (2021): https://doi.org/10.1371/journal.pone.0258679.
    10.1371/journal.pone.0258679
  7. "Automatic Meta-Feature Engineering for CNN Fusion in Aerial Scene Classification Task". IEEE Geoscience and Remote Sensing Letters (2020): http://dx.doi.org/10.1109/lgrs.2019.2950415.
    10.1109/lgrs.2019.2950415
  8. "A correlation-based approach for event detection in Instagram". Journal of Intelligent & Fuzzy Systems 34 5 (2018): 2971-2982. http://dx.doi.org/10.3233/jifs-169482.
    10.3233/jifs-169482
  9. "SiRCub, A Novel Approach to Recognize Agricultural Crops Using Supervised Classification". International Journal of Agricultural and Environmental Information Systems 8 4 (2017): 20-36. http://dx.doi.org/10.4018/ijaeis.2017100102.
    10.4018/ijaeis.2017100102
  10. "Fusion of time series representations for plant recognition in phenology studies". Pattern Recognition Letters 83 (2016): 205-214. http://dx.doi.org/10.1016/j.patrec.2016.03.005.
    10.1016/j.patrec.2016.03.005
  11. "Time series-based classifier fusion for fine-grained plant species recognition". Pattern Recognition Letters 81 (2016): 101-109. http://dx.doi.org/10.1016/j.patrec.2015.10.016.
    10.1016/j.patrec.2015.10.016
  12. "Illuminant-Based Transformed Spaces for Image Forensics". IEEE Transactions on Information Forensics and Security 11 4 (2016): 720-733. http://dx.doi.org/10.1109/tifs.2015.2506548.
    10.1109/tifs.2015.2506548
  13. "Iris Recognition Based on Local Binary Descriptors". IEEE Latin America Transactions 13 8 (2015): 2770-2775. http://dx.doi.org/10.1109/tla.2015.7332161.
    10.1109/tla.2015.7332161
  14. "Automatic identification of fruit flies (Diptera: Tephritidae)". Journal of Visual Communication and Image Representation (2014): http://dx.doi.org/10.1016/j.jvcir.2014.06.014.
    10.1016/j.jvcir.2014.06.014
  15. "A framework for selection and fusion of pattern classifiers in multimedia recognition". Pattern Recognition Letters 39 (2014): 52-64. http://dx.doi.org/10.1016/j.patrec.2013.07.014.
    10.1016/j.patrec.2013.07.014
  16. "Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2014): http://dx.doi.org/10.1109/jstars.2014.2303813.
    10.1109/jstars.2014.2303813
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2024/06 Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification. Genetic and Evolutionary Computation Conference (GECCO)
(Melbourne, Australia)
2024/06 A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task Genetic and Evolutionary Computation Conference (GECCO)
(Melbourne, Australia)
2022/10 Mixup-based Deep Metric Learning for Incomplete Supervision International Conference on Image Processing (ICIP)
(Bordeaux, France)
2022/10 Learning More for Less: Deep Metric Learning for Incomplete Supervision DEI às Quartas
IST/ULisboa (Lisboa, Portugal)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2023 - Current Melhoramento da Confiança dos Rótulos no Projeto ForestEyes
Co-supervisor
 Ciência da Computação (PhD)
Universidade Federal de São Paulo - Campus São José dos Campos, Brazil
2021 - Current Planejador inteligente para cura otimizada de peças de materiais compósitos em autoclaves
Supervisor
 Ciência da Computação (PhD)
Universidade Federal de São Paulo - Campus São José dos Campos, Brazil
2021 - 2023 e-NEAT: Um Arcabouço de Combinação de Classificadores baseados em Neuroevolução
Supervisor
 Ciência da Computação (Master)
Universidade Federal de São Paulo, Brazil
2019 - 2022 Técnicas de Aprendizado Profundo de Métrica baseadas em Mixup
Supervisor
 Ciência da Computação (Master)
Universidade Federal de São Paulo, Brazil
2018 - 2020 Desenvolvimento de Métricas de Similaridade em Registros Médicos Fundamentada em Redes Neurais Profundas
Co-supervisor
 Ciência da Computação (Master)
Universidade Federal de São Paulo - Campus São José dos Campos, Brazil
2016 - 2020 Projeto ForestEyes - Ciência Cidadã e Aprendizado de Máquina na Detecção de Áreas Desmatadas em Florestas Tropicais
Co-supervisor
 Ciência da Computação (PhD)
Universidade Federal de São Paulo - Campus São José dos Campos, Brazil
2015 - 2017 A Correlation-based Approach for Event Detection in Instagram
Supervisor
 Ciência da Computação (Master)
Universidade Federal de São Paulo - Campus São José dos Campos, Brazil

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2016 - 2016 Organizador geral do principal evento brasileiro da área de imagens (SIBGRAPI). (2016/10/04 - 2016/10/07)
Conference (Member of the Organising Committee)
 Universidade Federal de São Paulo, Brazil

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2024 Extração de Percepções Urbanas a partir de Textos Compartilhados em Mídias Sociais: Arcabouço e Aplicações
(Thesis) Main arguer
 Frances Albert Santos (PhD)
Universidade Estadual de Campinas, Brazil
2023 Graph-Based Image Segmentation With Shape Priors and Local Band Constraints
President of the jury
 Caio de Moraes Braz (PhD)
Universidade de São Paulo, Brazil
2023 Métodos de Adaptação de Domínio de Conjunto Aberto em Redes Profundas Para Reconhecimento de Imagens
(Thesis) Main arguer
 Lucas fernando alvarenga e silva (Master)
Universidade Federal de São Paulo, Brazil
2022 Meta Learning for Few-shot One-class Classification
(Thesis) Main arguer
 Gabriel Dahia (Master)
Editora da Universidade Federal da Bahia, Brazil
2022 MOCANN: Um Procedimento para Treinamento de Redes Neurais Artificiais e métodos de Monte Carlo
(Thesis) Main arguer
 Rafael Augusto Lopes Shigemura (Master)
Instituto Tecnológico de Aeronáutica, Brazil
2021 Detecção de Fogo Ativo por Aprendizado Profundo em Imagens Provenientes do Satélite Landsat-8
(Thesis) Main arguer
 André Minoro Fusioka (Master)
Universidade Tecnológica Federal do Paraná, Brazil
2021 Extração e Aprendizado de Características Específicas em Imagens de Sensoriamento de Baixa Altitude
(Thesis) Main arguer
 Paulo Victor de Souza Prado (Master)
Universidade de São Paulo, Brazil

Ad Hoc journal article review

Journal title (ISSN) Publisher
2020 - Current Pattern Recognition Letters (01678655) Elsevier
2018 - Current Geoscience and Remote Sensing Letters (1558-0571) IEEE
2017 - Current PATTERN RECOGNITION (0031-3203) Elsevier
2015 - Current Transactions on Geoscience and Remote Sensing (1558-0644) IEEE
2013 - Current Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2151-1535) IEEE

Consulting

Activity description Institution / Organization
2018 - Current Emitir parecer FAPESP de bolsistas (iniciação científica, mestrado e doutorado) e projetos. Fundação de Amparo à Pesquisa do Estado de São Paulo, Brazil

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2017/02 - Current Comitê de Auxílio Técnico do Setor de Tecnologia da Informação e Comunicação (CAT-TIC)
Evaluator
 Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil Conselho Nacional de Desenvolvimento Científico e Tecnológico

Journal scientific committee

Journal title (ISSN) Publisher
2025/01 - Current Geoscience and Remote Sensing Letters (1545-598X) IEEE
Distinctions

Award

2023 Best Paper of the Workshop of Undergraduate Works (WUW - SIBGRAPI2023)
Sociedade Brasileira de Computação (SBC), Brazil
2022 TOP 3 de melhores artigos do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC)
Sociedade Brasileira de Computacao, Brazil
2018 Menção Honrosa WUW-SIBGRAPI
Sociedade Brasileira de Computacao, Brazil
2007 Mérito Acadêmico - Melhor índice de aproveitamento no Curso de Graduação em Ciência da Computação
Universidade Estadual Paulista Júlio de Mesquita Filho, Brazil