Daniel F. Leite

Citado por

	Total	Desde 2018
Citas	1787	1448
Índice h	21	19
Índice i10	37	32

400

200

100

300

2009201020112012201320142015201620172018201920202021202220239 23 21 43 38 43 43 45 67 81 231 280 248 383 211

Acceso público

Ver todo

12 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Fernando GomideProfessor of Electrical and Computer Engineering, University of CampinasDirección de correo verificada de unicamp.br
Igor ŠkrjancProfessor of Control Engineering, Faculty of Electrical Engineering, University of LjubljanaDirección de correo verificada de fe.uni-lj.si
Vania Correa MotaFundação Universidade Federal de Rondônia - UnirDirección de correo verificada de unir.br
Eduardo SoaresIBM Research, Lancaster UniversityDirección de correo verificada de ibm.com
Leticia DeckerPh.D. in Data Science and Computation / Post-doc Researcher @ Scuola Normale SuperioreDirección de correo verificada de sns.it
Cristiano Mesquita GarciaPontifícia Universidade Católica / PRDirección de correo verificada de pucpr.edu.br
Araceli SanchisFull professor of computer science, Carlos III of Madrid UniversityDirección de correo verificada de inf.uc3m.es
Reinaldo Martínez PalharesFederal University of Minas Gerais - Full Professor, Electrical EngineeringDirección de correo verificada de ufmg.br
Goran AndonovskiTeaching AssistantDirección de correo verificada de fe.uni-lj.si
Edwin LughoferJohannes Kepler University LinzDirección de correo verificada de jku.at
Víctor C. S. CamposProfessor no Departamento de Engenharia Eletrônica, Universidade Federal de Minas GeraisDirección de correo verificada de cpdee.ufmg.br
Bruno CostaSoftware Engineer (Machine Learning) - FacebookDirección de correo verificada de fb.com
Heloisa de Arruda CamargoFederal University of São Carlos - Computing DepartmentDirección de correo verificada de dc.ufscar.br
Andre LemosUniversidade Federal de Minas GeraisDirección de correo verificada de cpdee.ufmg.br
Walmir Matos CaminhasProfessor, Department of Electronics Engineering, Universidade Federal de Minas GeraisDirección de correo verificada de cpdee.ufmg.br
Suzana J. CamargoMarie Tharp Lamont Research Professor, Lamont-Doherty Earth Observatory, Columbia UniversityDirección de correo verificada de ldeo.columbia.edu
Paulo Vitor Campos SouzaResearcher- Fondazione Bruno KesslerDirección de correo verificada de fbk.eu
Murilo Osorio CamargosUniversidade Federal de Minas GeraisDirección de correo verificada de ufmg.br
Pedro Henrique Silva CoutinhoFederal University of Minas GeraisDirección de correo verificada de ufmg.br
Iury BessaAssistant Professor at Federal University of AmazonasDirección de correo verificada de ufam.edu.br

Seguir

Daniel F. Leite

Associate Professor, Universidad Adolfo Ibáñez, Chile

Dirección de correo verificada de uai.cl - Página principal

Artificial Intelligence Machine Learning Control Theory Granular Computing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	255	2019
Evolving fuzzy granular modeling from nonstationary fuzzy data streams D Leite, R Ballini, P Costa, F Gomide Evolving Systems 3, 65-79, 2012	134	2012
Evolving granular neural networks from fuzzy data streams D Leite, P Costa, F Gomide Neural Networks 38, 1-16, 2013	123	2013
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	109	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	103	2015
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	102	2018
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	72	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	56	2020
An overview on evolving systems and learning from stream data D Leite, I Škrjanc, F Gomide Evolving systems 11, 181-198, 2020	56	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	45	2020
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	43	2011
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	42	2018
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	39	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	39	2020
Interval approach for evolving granular system modeling D Leite, P Costa, F Gomide Learning in non-stationary environments: methods and applications, 271-300, 2012	39	2012
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	35	2010
Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction D Leite, I Škrjanc Information sciences 504, 95-112, 2019	33	2019
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	31	2018

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores