Daniel F. Leite 个人学术档案

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Fernando GomideProfessor of Electrical and Computer Engineering, University of Campinas在 unicamp.br 的电子邮件经过验证
Igor ŠkrjancProfessor of Control Engineering, Faculty of Electrical Engineering, University of Ljubljana在 fe.uni-lj.si 的电子邮件经过验证
Vania Correa MotaFundação Universidade Federal de Rondônia - Unir在 unir.br 的电子邮件经过验证
Eduardo SoaresIBM Research, Lancaster University在 ibm.com 的电子邮件经过验证
Leticia DeckerPh.D. in Data Science and Computation / Post-doc Researcher @ Scuola Normale Superiore在 sns.it 的电子邮件经过验证
Cristiano Mesquita GarciaPontifícia Universidade Católica / PR在 pucpr.edu.br 的电子邮件经过验证
Araceli SanchisFull professor of computer science, Carlos III of Madrid University在 inf.uc3m.es 的电子邮件经过验证
Reinaldo Martínez PalharesFull Professor (UFMG) - Federal University of Minas Gerais在 ufmg.br 的电子邮件经过验证
Goran AndonovskiTeaching Assistant在 fe.uni-lj.si 的电子邮件经过验证
Edwin LughoferJohannes Kepler University Linz在 jku.at 的电子邮件经过验证
Bruno CostaSoftware Engineer (Machine Learning) - Facebook在 fb.com 的电子邮件经过验证
Víctor C. S. CamposProfessor no Departamento de Engenharia Eletrônica, Universidade Federal de Minas Gerais在 cpdee.ufmg.br 的电子邮件经过验证
Heloisa de Arruda CamargoFederal University of São Carlos - Computing Department在 dc.ufscar.br 的电子邮件经过验证
Andre LemosUniversidade Federal de Minas Gerais在 cpdee.ufmg.br 的电子邮件经过验证
Walmir Matos CaminhasFull Professor, Department of Electronics Engineering - Federal University of Minas Gerais (UFMG)在 cpdee.ufmg.br 的电子邮件经过验证
Gabriella CasalinoInformatics Department, University of Bari, Bari, Italy在 uniba.it 的电子邮件经过验证
Katarzyna Kaczmarek-MajerAssistant Professor at Systems Research Institute Polish Academy of Sciences在 ibspan.waw.pl 的电子邮件经过验证
Giovanna CastellanoAssociate Professor, University of Bari Aldo Moro在 uniba.it 的电子邮件经过验证
Paulo Vitor Campos SouzaResearcher- Fondazione Bruno Kessler在 fbk.eu 的电子邮件经过验证
Suzana J. CamargoMarie Tharp Lamont Research Professor, Lamont-Doherty Earth Observatory, Columbia University在 ldeo.columbia.edu 的电子邮件经过验证

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Daniel F. Leite

Researcher, Paderborn University, Germany

在 uni-paderborn.de 的电子邮件经过验证 - 首页

Computational Intelligence Machine Learning Control Theory Fuzzy Systems Granular Computing


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
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A survey I Škrjanc, JA Iglesias, A Sanchis, D Leite, E Lughofer, F Gomide Information sciences 490, 344-368, 2019	292	2019
Evolving fuzzy granular modeling from nonstationary fuzzy data streams D Leite, R Ballini, P Costa, F Gomide Evolving Systems 3, 65-79, 2012	139	2012
High impedance fault detection in power distribution systems using wavelet transform and evolving neural network S Silva, P Costa, M Gouvea, A Lacerda, F Alves, D Leite Electric power systems research 154, 474-483, 2018	130	2018
Evolving granular neural networks from fuzzy data streams D Leite, P Costa, F Gomide Neural Networks 38, 1-16, 2013	128	2013
Ensemble of Evolving Data Clouds and Fuzzy Models for Weather Time Series Prediction E Soares, P Costa, B Costa, D Leite Applied Soft Computing 64, 445–453, 2018	110	2018
Evolving granular fuzzy model-based control of nonlinear dynamic systems D Leite, R Palhares, V Campos, F Gomide Fuzzy Systems, IEEE Transactions on 23 (4), 923 - 938, 2015	109	2015
Evolving granular neural network for semi-supervised data stream classification D Leite, P Costa, F Gomide The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010	74	2010
Incremental missing-data imputation for evolving fuzzy granular prediction C Garcia, D Leite, I Skrjanc IEEE Transactions on Fuzzy Systems 28 (10), 2348-2362, 2020	70	2020
An overview on evolving systems and learning from stream data D Leite, I Škrjanc, F Gomide Evolving systems 11 (2), 181-198, 2020	65	2020
Nonlinear modeling and robust LMI fuzzy control of overhead crane systems C Aguiar, D Leite, D Pereira, G Andonovski, I Škrjanc Journal of the Franklin Institute 358 (2), 1376-1402, 2021	60	2021
Real-time anomaly detection in data centers for log-based predictive maintenance using an evolving fuzzy-rule-based approach L Decker, D Leite, L Giommi, D Bonacorsi 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020	57	2020
Optimal rule-based granular systems from data streams D Leite, G Andonovski, I Skrjanc, F Gomide IEEE Transactions on Fuzzy Systems 28 (3), 583-596, 2020	54	2020
Fuzzy clustering and fuzzy validity measures for knowledge discovery and decision making in agricultural engineering VC Mota, FA Damasceno, DF Leite Computers and electronics in agriculture 150, 118-124, 2018	53	2018
Fuzzy granular evolving modeling for time series prediction D Leite, F Gomide, R Ballini, P Costa 2011 IEEE international conference on fuzzy systems (FUZZ-IEEE 2011), 2794-2801, 2011	46	2011
Interval approach for evolving granular system modeling D Leite, P Costa, F Gomide Learning in non-stationary environments: methods and applications, 271-300, 2012	41	2012
Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction D Leite, I Škrjanc Information sciences 504, 95-112, 2019	40	2019
Real-time fault diagnosis of nonlinear systems DF Leite, MB Hell, P Costa Jr, F Gomide Nonlinear Analysis: Theory, Methods & Applications 71 (12), e2665-e2673, 2009	39	2009
Evolving granular classification neural networks DF Leite, P Costa, F Gomide 2009 International Joint Conference on Neural Networks, 1736-1743, 2009	39	2009
Granular approach for evolving system modeling D Leite, P Costa, F Gomide Computational Intelligence for Knowledge-Based Systems Design: 13th …, 2010	36	2010
Evolving neuro-fuzzy network for real-time high impedance fault detection and classification S Silva, P Costa, M Santana, D Leite Neural Computing and Applications, 1-14, 2018	35	2018

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