Geraldo Zimbrao 个人学术档案

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引用	1559	759
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Jano Moreira de SouzaProfessor de Ciência da Computação, COPPE/UFRJ在 cos.ufrj.br 的电子邮件经过验证
Carlos Eduardo R de MelloUNIRIO & UERJ在 uniriotec.br 的电子邮件经过验证
Sérgio Manuel Serra da CruzProfessor of Computer Science - Department of Computer Sciences - UFRRJ在 ufrrj.br 的电子邮件经过验证
MANHÃES, L.M.B.UFF在 id.uff.br 的电子邮件经过验证
Filipe Braida do CarmoUniversidade Federal Rural do Rio de Janeiro (UFRRJ)在 ufrrj.br 的电子邮件经过验证
Jonice OliveiraProfessor of Computing Science, Federal University of Rio de Janeiro (Universidade Federal do Rio de在 dcc.ufrj.br 的电子邮件经过验证
Victor Texeira de AlmeidaPetrobras e Instituto de Computação UFF在 ic.uff.br 的电子邮件经过验证
Fernanda BaiaoAssociate Professor at PUC-Rio在 puc-rio.br 的电子邮件经过验证
Eduardo OgasawaraCEFET/RJ在 ieee.org 的电子邮件经过验证
Daniel de OliveiraAssociate Professor at Universidade Federal Fluminense (UFF)在 ic.uff.br 的电子邮件经过验证
Alexandre A. B. LimaUniversidade Federal do Rio de Janeiro - Campus Duque de Caxias在 caxias.ufrj.br 的电子邮件经过验证
Geraldo XexeoPrograma de Engenharia de Sistemas e Computação - COPPE - Universidade Federal do Rio de Janeiro在 cos.ufrj.br 的电子邮件经过验证
Gisele L. PappaComputer Science, Universidade Federal de Minas Gerais在 dcc.ufmg.br 的电子邮件经过验证
Vanessa BraganholoProfessor of Computer Science, Universidade Federal Fluminense在 ic.uff.br 的电子邮件经过验证
Eduardo DalcinInstituto de Pesquisas Jardim Botânico do Rio de Janeiro在 jbrj.gov.br 的电子邮件经过验证
Ralf Hartmut GütingProfessor of Computer Science, University of Hagen, Germany在 fernuni-hagen.de 的电子邮件经过验证
Leonardo Gresta Paulino MurtaInstituto de Computação (IC), Universidade Federal Fluminense (UFF)在 ic.uff.br 的电子邮件经过验证
Paulo F. PiresDell Technologies & Associate Professor of Computer Science, Fluminense Federal University (UFF)在 dell.com 的电子邮件经过验证
Pedro FurtadoUniversity of Coimbra, UC, CISUC在 dei.uc.pt 的电子邮件经过验证
Julia Celia Mercedes StrauchProfessor of Geoprocessing, National School of Statistical Science and Brazilian Institute of在 ibge.gov.br 的电子邮件经过验证

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Geraldo Zimbrao

Professor de Ciência da Computação

在 cos.ufrj.br 的电子邮件经过验证 - 首页

Recommendation Systems Scientific Social Network Collaborative Filtering Model-driven Business Rules


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Adaptive normalization: A novel data normalization approach for non-stationary time series E Ogasawara, LC Martinez, D De Oliveira, G Zimbrão, GL Pappa, ... The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010	203	2010
Previsão de estudantes com risco de evasão utilizando técnicas de mineração de dados LMB Manhães, SMS Da Cruz, RJM Costa, J Zavaleta, G Zimbrão Brazilian symposium on computers in education (simpósio brasileiro de …, 2011	125	2011
A raster approximation for processing of spatial joins G Zimbrao, JM De Souza VLDB 98, 24-27, 1998	97	1998
Brazilian Flora 2020: innovation and collaboration to meet Target 1 of the Global Strategy for Plant Conservation (GSPC) FLR Filardi, F Barros, JFA Baumgratz, CEM Bicudo, TB Cavalcanti, ... Rodriguésia 69, 1513-1527, 2018	78	2018
Brazilian Flora 2020: Leveraging the power of a collaborative scientific network Brazil Flora Group, J Gomes‐da‐Silva, FLR Filardi, MRV Barbosa, ... Taxon 71 (1), 178-198, 2022	65	2022
WAVE: an architecture for predicting dropout in undergraduate courses using EDM LMB Manhães, SMS da Cruz, G Zimbrão Proceedings of the 29th annual acm symposium on applied computing, 243-247, 2014	62	2014
Group and link analysis of multi-relational scientific social networks V Ströele, G Zimbrão, JM Souza Journal of Systems and Software 86 (7), 1819-1830, 2013	51	2013
Applying landmarks to enhance memory-based collaborative filtering GR Lima, CE Mello, A Lyra, G Zimbrao Information Sciences 513, 412-428, 2020	40	2020
Transforming collaborative filtering into supervised learning F Braida, CE Mello, MB Pasinato, G Zimbrão Expert Systems with Applications 42 (10), 4733-4742, 2015	39	2015
Amanda: Semi-supervised density-based adaptive model for non-stationary data with extreme verification latency RS Ferreira, G Zimbrão, LGM Alvim Information Sciences 488, 219-237, 2019	33	2019
Autoencoders and recommender systems: COFILS approach J Barbieri, LGM Alvim, F Braida, G Zimbrão Expert Systems with Applications 89, 81-90, 2017	33	2017
Mining and analyzing multirelational social networks V Stroele, J Oliveira, G Zimbrão, JM Souza 2009 International Conference on Computational Science and Engineering 4 …, 2009	33	2009
Approximate query processing in spatial databases using raster signatures LG Azevedo, G Zimbrão1, JM de Souza Advances in Geoinformatics: VIII Brazilian Symposium on GeoInformatics …, 2007	33	2007
An algorithm to discover calendar-based temporal association rules with item's lifespan restriction G Zimbrão, JM de Souza, VT de Almeida, WA da Silva The Second Workshop on Temporal Data Mining, 2002	30	2002
Identificação dos fatores que influenciam a evasão em cursos de graduação através de sistemas baseados em mineração de dados: Uma abordagem quantitativa LMB Manhães, SMS da Cruz, RJM Costa, J Zavaleta, G Zimbrão Anais do VIII Simpósio Brasileiro de Sistemas de Informação, 284-295, 2012	28	2012
Enforcement of Business Rules in Relational Databases Using Constraints. G Zimbrão, R Miranda, JM de Souza, MH Estolano, FP Neto SBBD, 129-141, 2003	27	2003
Neural networks cartridges for data mining on time series E Ogasawara, L Murta, G Zimbrao, M Mattoso 2009 International Joint Conference on Neural Networks, 2302-2309, 2009	26	2009
Generating synthetic data for context-aware recommender systems M Pasinato, CE Mello, MA Aufaure, G Zimbrao 2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013	24	2013
Modeling, mining and analysis of multi-relational scientific social network V Ströele, G Zimbrão, JM Souza Journal of Universal Computer Science 18 (8), 1048-1068, 2012	24	2012
GOA++: Tecnologia, implementação e extensões aos serviços de gerência de objetos R Mauro, G Zimbrão, TS Brügger, FO Tavares, M Duran, AAB Lima, ... XII Simp. Bras. de Banco de Dados, 272-286, 1997	23	1997

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