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Bachelor in Computer Science (2008), master and doctor in Systems and Computer Engineering (2012 and 2017, respectively), all from the Federal University of Rio de Janeiro, in Brazil. Previously a tenured professor at CEFET-RJ and researcher at Ci2-IPT, he is currently a researcher at CLUP. He is the author of dozens of peer-reviewed articles published in international scientific events and journals. He has supervised doctoral and master's theses as well as final projects by undergraduate students. In a broad sense, his topics of interest are Machine Learning, Data Science, and Complex Networks.
Identification

Personal identification

Full name
Douglas de Oliveira Cardoso

Citation names

  • Cardoso, Douglas O.
  • Cardoso, Douglas
  • Cardoso, D.O.

Author identifiers

Ciência ID
5511-1489-6FDD
ORCID iD
0000-0002-1932-334X
Google Scholar ID
i88U02AAAAAJ
Researcher Id
J-7529-2016
Scopus Author Id
55336631100
Education
Degree Classification
2017/03/10
Concluded
 Systems Engineering and Computer Science (Doctor)
Universidade Federal do Rio de Janeiro, Brazil
Affiliation

Science

Category
Host institution 		Employer
2024/02 - Current Researcher (Research) Universidade do Porto Centro de Linguística, Portugal
2022/04/07 - 2024/02/18 Researcher (Research) Instituto Politécnico de Tomar Centro de Investigação em Cidades Inteligentes, Portugal
Projects

Grant

Designation Funders
2016/09 - Current Machine Learning
391916
 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Outputs

Publications

Book
  1. Cardoso, D.; De Gregorio, M.; Lima, P.; Gama, J.; França, F.. A weightless neural network-based approach for stream data clustering. 2012.
    10.1007/978-3-642-32639-4_40
Book chapter
  1. Willian P. C. Lima; Lucas C. Marques; Laura S. Assis; Douglas O. Cardoso. "An Analysis of Political Parties Cohesion Based on Congressional Speeches". 2023.
    10.1007/978-3-031-36024-4_8
  2. Douglas O. Cardoso; Willian P. C. Lima; Guilherme G. V. L. Silva; Laura S. Assis. "An Approach for Probabilistic Modeling and Reasoning of Voting Networks". 2023.
    10.1007/978-3-031-36024-4_7
  3. Sarah Ribeiro Lisboa Carneiro; Michael Ferreira de Souza; Douglas O. Cardoso; Luís Tarrataca; Laura S. Assis. "A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem". 2023.
    10.1007/978-3-031-45368-7_12
  4. Anderson Manhães; Gabriel Matos; Douglas O. Cardoso; Milena F. Pinto; Jeferson Colares; Paulo Leitão; Diego Brandão; Diego Haddad. "Long-Term Person Reidentification: Challenges and Outlook". 2022.
    10.1007/978-3-031-23236-7_25
  5. Yngwi Guimarães Vieira Souza; Luís Tarrataca; Douglas O. Cardoso; Laura Silva de Assis. "Sentiment Analysis Applied to IBOVESPA Prediction". 2022.
    10.1007/978-3-031-23236-7_26
  6. Cardoso, Douglas O.; Gama, João; França, Felipe. "Weightless Neural Modeling for Mining Data Streams". In Series in Machine Perception and Artificial Intelligence, 26-43. WORLD SCIENTIFIC, 2018.
    10.1142/9789813228047_0002
Conference paper
  1. Alexandre H.L. Porto; Micaella Coelho; Kary Ocaña; Carla Osthoff; Francieli Boito; Douglas O. Cardoso. "An Exploratory Study of Deep Learning for Predicting Computational Tasks Behavior in HPC Systems". 2023.
    10.1109/sbac-padw60351.2023.00012
  2. Ryan Dutra de Abreu; Laura Silva de Assis; Douglas Cardoso. "Experimental Analysis of Pipelining Community Detection and Recommender Systems". 2023.
    10.5220/0012237000003584
  3. Douglas O. Cardoso; Micaella Coelho; Guilherme Freire; Kary Ocaña; Carla Osthoff; Marcelo Galheigo; André R. Carneiro; Francieli Boito; Philippe Navaux. "Desenvolvimento de um Framework de Aprendizado de Máquina no Apoio a Gateways Científicos Verdes, Inteligentes e Eficientes: BioinfoPortal como Caso de Estudo Brasileiro". 2022.
    10.5753/wscad.2022.226377
  4. Teixeira, Vitor; Garcês, Sara; Borralheiro, Anabela; Gomes, Hugo; Cardoso, Douglas O.; Trindade, Anícia; Ferraz, Eduardo; Oosterbeek, Luiz. "A app das Ciências Participativas: das práticas ancestrais à produção de conhecimento". 2022.
  5. Thalis D. Galeno; João Gama; Douglas O. Cardoso. "A sketch for the KS test for Big Data". 2021.
    10.5753/kdmile.2021.17455
  6. Barbosa, R.; Cardoso, D.O.; Carvalho, D.; França, F.M.G.. "A neuro-symbolic approach to GPS trajectory classification". 2017.
  7. Cardoso, D.O.; França, F.; Gama, J.. "Clustering data streams using a forgetful neural model". 2016.
    10.1145/2851613.2851889
  8. Cardoso, D.O.; França, F.; Gama, J.. "A bounded neural network for open set recognition". 2015.
    10.1109/IJCNN.2015.7280680
  9. Cardoso, D.O.; Carvalho, D.S.; Alves, D.S.F.; Souza, D.F.P.; Carneiro, H.C.C.; Pedreira, C.E.; Lima, P.M.V.; França, F.M.G.. "Credit analysis with a clustering RAM-based neural classifier". 2014.
  10. Cardoso, D.O.; Gama, J.; De Gregorio, M.; França, F.M.G.; Giordano, M.; Lima, P.M.V.. "WIPS: The WiSARD indoor positioning system". 2013.
  11. Alves, D.S.F.; Cardoso, D.O.; Carneiro, H.C.C.; Franca, F.M.G.; Lima, P.M.V.. "An empirical study of the influence of data structures on the performance of VG-RAM classifiers". 2013.
    10.1109/BRICS-CCI-CBIC.2013.71
  12. Cardoso, D.O.; Lima, P.M.V.; de Gregorio, M.; Gama, J.; França, F.M.G.. "Clustering data streams with weightless neural networks". 2011.
Journal article
  1. Carlos Silva de Jesus; Douglas de Oliveira Cardoso; Cristina Gomes de Souza. "Motivational factors for patenting: A study of the Brazilian researchers profile". World Patent Information (2023): https://doi.org/10.1016/j.wpi.2023.102241.
    10.1016/j.wpi.2023.102241
  2. Ueliton da Costa Leonidio; Douglas de Oliveira Cardoso; Cristina Gomes de Souza. "Universities Patent Quality Indicators (UPQI): A Bibliometric and Systematic Review". Journal of Scientometric Research 12 2 (2023): 285-304. http://dx.doi.org/10.5530/jscires.12.2.027.
    10.5530/jscires.12.2.027
  3. Ueliton da Costa Leonidio; José Cristiano Pereira; Cristina Gomes De Souza; Douglas de Oliveira Cardoso; Marcia da Silveira Julião; Humberto Medrado Gomes Ferreira; Vanessa Cristina Dos Santos; Ricardo Almeida Marques. "Risk assessment of failure on the correct choice of universities patent quality indicators: a systematic literature review". Revista de Gestão e Secretariado (Management and Administrative Professional Review) (2023): https://doi.org/10.7769/gesec.v14i5.2144.
    10.7769/gesec.v14i5.2144
  4. Layna Azevedo Pereira Da Silva; Marcia da Silveira Julião; Ueliton da Costa Leonidio; Humberto Medrado Gomes Ferreira; Cristina Gomes De Souza; Douglas de Oliveira Cardoso; José Cristiano Pereira; Vanessa Cristina Dos Santos. "The perception of customers regarding customer service by applying the Disney methodology in a hotel". Revista de Gestão e Secretariado (Management and Administrative Professional Review) (2023): https://doi.org/10.7769/gesec.v14i5.2145.
    10.7769/gesec.v14i5.2145
  5. Ueliton da Costa Leonidio; José Cristiano Pereira; Cristina Gomes De Souza; Douglas de Oliveira Cardoso; Marcia da Silveira Julião; Humberto Medrado Gomes Ferreira; Vanessa Cristina Dos Santos; Ricardo Almeida Marques. "Overview of patents of Federal Universities through patent quality metrics and impact on innovation from the database of the European Patent Office - PATSTAT EPO 2010-2020". Revista de Gestão e Secretariado (Management and Administrative Professional Review) (2023): https://doi.org/10.7769/gesec.v14i5.2146.
    10.7769/gesec.v14i5.2146
  6. Douglas O. Cardoso; Thalis D. Galeno. "Online evaluation of the Kolmogorov–Smirnov test on arbitrarily large samples". Journal of Computational Science (2023): https://doi.org/10.1016/j.jocs.2023.101959.
    10.1016/j.jocs.2023.101959
  7. Ferraz, Eduardo; Trindade, Anícia; Cardoso, Douglas O.; Gomes, Hugo Filipe Teixeira; Martins, Marco; Garcês, Sara; Nunes, Sérgio Leal; et al. "Projeto TURARQ - Turismo Arqueológico para Territórios de Baixa Densidade do Médio Tejo". (2023): http://hdl.handle.net/10400.26/45838.
  8. Lordeiro, Igor Q.; Haddad, Diego B.; Cardoso, Douglas O.. "Multi-Armed Bandits for Minesweeper: Profiting From Exploration–Exploitation Synergy". IEEE Transactions on Games 14 3 (2022): 403-412. http://dx.doi.org/10.1109/tg.2021.3082909.
    10.1109/tg.2021.3082909
  9. Douglas O. Cardoso. "Data Assimilation by Neural Network for Ocean Circulation: Parallel Implementation". Supercomputing Frontiers and Innovations 9 1 (2022): http://dx.doi.org/10.14529/jsfi220105.
    10.14529/jsfi220105
  10. Rui Sarmento; Luís Lemos; Mário Cordeiro; Giulio Rossetti; Douglas Cardoso. "DynComm". International Journal of Open Source Software and Processes 12 4 (2022): 62-86. http://dx.doi.org/10.4018/ijossp.287614.
    10.4018/ijossp.287614
  11. Sarmento, Rui Portocarrero; O. Cardoso, Douglas; Dearo, Kemmily; Brazdil, Pavel; Gama, João. "Text documents streams with improved incremental similarity". Social Network Analysis and Mining 11 1 (2021): http://dx.doi.org/10.1007/s13278-021-00826-z.
    10.1007/s13278-021-00826-z
  12. Lordeiro, Igor Q; Haddad, Diego B.; Cardoso, Douglas O.. "Multi-Armed Bandits for Minesweeper: Profiting from Exploration-Exploitation Synergy". ArXiv (2020): https://publons.com/wos-op/publon/59284174/.
  13. S. Passos, Roger; O. Cardoso, Douglas. "Extrema Analysis of Node Centrality in Weighted Networks". ArXiv (2020): https://publons.com/wos-op/publon/57309208/.
  14. Barbosa, Raul; Cardoso, Douglas O.; Carvalho, Diego; França, Felipe M.G.. "Weightless neuro-symbolic GPS trajectory classification". Neurocomputing 298 (2018): 100-108. http://dx.doi.org/10.1016/j.neucom.2017.11.075.
    10.1016/j.neucom.2017.11.075
  15. Douglas O. Cardoso; Felipe M. G. França; João Gama. "WCDS: A Two-Phase Weightless Neural System for Data Stream Clustering". New Generation Computing 35 4 (2017): 391-416. https://doi.org/10.1007/s00354-017-0018-y.
    10.1007/s00354-017-0018-y
  16. Douglas O. Cardoso; João Gama; Felipe M. G. França. "Weightless neural networks for open set recognition". Machine Learning 106 9-10 (2017): 1547-1567. https://doi.org/10.1007/s10994-017-5646-4.
    10.1007/s10994-017-5646-4
  17. Cardoso, D.O.; Carvalho, D.S.; Alves, D.S.F.; Souza, D.F.P.; Carneiro, H.C.C.; Pedreira, C.E.; Lima, P.M.V.; França, F.M.G.. "Financial credit analysis via a clustering weightless neural classifier". Neurocomputing 183 (2016): 70-78. http://www.scopus.com/inward/record.url?eid=2-s2.0-84958610543&partnerID=MN8TOARS.
    10.1016/j.neucom.2015.06.105
  18. Cardoso, D.O.; Carvalho, D.S.; Alves, D.S.F.; Souza, D.F.P.; Carneiro, H.C.C.; Pedreira, C.E.; Lima, P.M.V.; França, F.M.G.. "Credit analysis with a clustering RAM-based neural classifier". European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN - Proceedings (2014): https://publons.com/wos-op/publon/16774417/.
    10.13140/2.1.3999.3608

Other

Other output
  1. CONTEXTUALIZATION for the ORGANIZATION of TEXT DOCUMENTS STREAMS. 2022. Sarmento, R.P.; Cardoso, D.O.; Brazdil, P.; Gama, J.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85132194169&partnerID=MN8TOARS.
    10.48550/arXiv.2206.02632
  2. Incremental Assessment of the Kolmogorov-Smirnov Test on Arbitrarily Large Samples. 2022. Cardoso, D.O.; Galeno, T.D.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85143896209&partnerID=MN8TOARS.
  3. Dyncomm R package-Dynamic community detection for evolving networks. 2019. Sarmento, R.P.; Lemos, L.; Cordeiro, M.; Rossetti, G.; Cardoso, D.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85094051258&partnerID=MN8TOARS.