Douglas O. Cardoso

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Felipe M. G. FrançaProfessor of Computer Science and Engineering, Federal University of Rio de JaneiroVerified email at cos.ufrj.br
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Hugo C. C. CarneiroUniversity of HamburgVerified email at uni-hamburg.de
Daniel AlvesMicrosoftVerified email at microsoft.com
Massimo De GregorioCiberneticaVerified email at cnr.it
Carlos Eduardo PedreiraProfessor, UFRJVerified email at ufrj.br
Danilo S. CarvalhoUniversity of ManchesterVerified email at manchester.ac.uk
Diego CarvalhoCEFET/RJ - Federal Centre for Engineering Studies and Technological EducationVerified email at ieee.org
Laura Silva de AssisCEFET/RJVerified email at cefet-rj.br
Rui Portocarrero SarmentoFCT Science and Technology Foundation (Portugal)Verified email at rdstreams.com
Diego Barreto HaddadProfessor de Engenharia de Computação, CEFET-RJVerified email at cefet-rj.br
Priscila Machado Vieira LimaProfessora de Ciência da Computação, Universidade Federal do Rio de JaneiroVerified email at cos.ufrj.br
Mário CordeiroUniversidade do PortoVerified email at fe.up.pt
Giulio RossettiSenior Researcher @ CNR-ISTIVerified email at isti.cnr.it
Roberto Pinto SoutoLaboratório Nacional de Computação CientíficaVerified email at lncc.br
Micaella CoelhoMestranda, Laboratório Nacional de Computação CientíficaVerified email at lncc.br
Kary OcañaNational Laboratory of Scientific Computing (LNCC)Verified email at lncc.br
Carla OsthoffLaboratório Nacional de Computação CientíficaVerified email at lncc.br
Maurizio GiordanoHigh Performance Computing and Networks Institute - CNRVerified email at icar.cnr.it
Luís TarratacaGAIPS/INESC-IDVerified email at inesc-id.pt

Douglas O. Cardoso

University of Coimbra, CeBER, Faculty of Economics

Verified email at cefet-rj.br - Homepage

Data Science Machine Learning Complex Networks


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Weightless neural networks for open set recognition DO Cardoso, J Gama, FMG França Machine Learning 106 (9), 1547-1567, 2017	58	2017
Financial credit analysis via a clustering weightless neural classifier DO Cardoso, DS Carvalho, DSF Alves, DFP Souza, HCC Carneiro, ... Neurocomputing 183, 70-78, 2016	52	2016
A bounded neural network for open set recognition DO Cardoso, F França, J Gama 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015	36	2015
A weightless neural network-based approach for stream data clustering D Cardoso, M De Gregorio, P Lima, J Gama, F França Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012	22	2012
Clustering data streams with weightless neural networks. DO Cardoso, PMV Lima, M De Gregorio, J Gama, FMG França ESANN, 2011	22	2011
Wcds: A two-phase weightless neural system for data stream clustering DO Cardoso, FMG França, J Gama New Generation Computing 35 (4), 391-416, 2017	17	2017
Weightless neuro-symbolic GPS trajectory classification R Barbosa, DO Cardoso, D Carvalho, FMG Franca Neurocomputing 298, 100-108, 2018	13	2018
Online evaluation of the Kolmogorov–Smirnov test on arbitrarily large samples DO Cardoso, TD Galeno Journal of Computational Science 67, 101959, 2023	11	2023
Credit analysis with a clustering RAM-based neural classifier. DO Cardoso, DS Carvalho, DSF Alves, DFP de Souza, HCC Carneiro, ... ESANN, 2014	11	2014
Wips: the wisard indoor positioning system DO Cardoso, J Gama, M De Gregorio, FMG Franca, M Giordano, ...	10	2013
Data assimilation by neural network for ocean circulation: parallel implementation HFC Velho, HCM Furtado, SBM Sambatti, CBOF de Barros, MES Welter, ... Supercomputing Frontiers and Innovations 9 (1), 74-86, 2022	6	2022
Multi-Armed Bandits for Minesweeper: Profiting From Exploration–Exploitation Synergy IQ Lordeiro, DB Haddad, DO Cardoso IEEE Transactions on Games 14 (3), 403-412, 2021	6	2021
Desenvolvimento de um Framework de Aprendizado de Máquina no Apoio a Gateways Científicos Verdes, Inteligentes e Eficientes: BioinfoPortal como Caso de Estudo Brasileiro M Coelho, G Freire, K Ocaña, C Osthoff, M Galheigo, AR Carneiro, F Boito, ... Simpósio em Sistemas Computacionais de Alto Desempenho (SSCAD), 205-216, 2022	5	2022
DynComm: An R Package for Evolving and Dynamic Community Detection in Social Networks RP Sarmento, L Lemos, M Cordeiro, G Rossetti, D Cardoso International Journal of Open Source Software and Processes (IJOSSP) 12 (4 …, 2021	4*	2021
An empirical study of the influence of data structures on the performance of VG-RAM classifiers DSF Alves, DO Cardoso, HCC Carneiro, FMG França, PMV Lima 2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013	4	2013
Motivational factors for patenting: A study of the Brazilian researchers profile CS de Jesus, D de Oliveira Cardoso, CG de Souza World Patent Information 75, 102241, 2023	3	2023
An Analysis of Political Parties Cohesion Based on Congressional Speeches WPC Lima, LC Marques, LS Assis, DO Cardoso International Conference on Computational Science, 105-119, 2023	3	2023
Text documents streams with improved incremental similarity RP Sarmento, D O. Cardoso, K Dearo, P Brazdil, J Gama Social Network Analysis and Mining 11, 1-9, 2021	3	2021
A neuro-symbolic approach to GPS trajectory classification R Barbosa, DO Cardoso, D Carvalho, FM França Proceedings of European Symposium on Artificial Neural Networks, 411-416, 2017	3	2017
Uma arquitetura para agrupamento de dados em fluxo contınuo baseada em redes neurais sem pesos D de Oliveira Cardoso Ph. D. dissertation, Universidade Federal do Rio de Janeiro, 2012	3	2012

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