Daniel F. Leite

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Fernando GomideProfessor of Electrical and Computer Engineering, University of CampinasVerified email at unicamp.br
Igor ŠkrjancProfessor of Control Engineering, Faculty of Electrical Engineering, University of LjubljanaVerified email at fe.uni-lj.si
Vania Correa MotaFundação Universidade Federal de Rondônia - UnirVerified email at unir.br
Eduardo SoaresIBM ResearchVerified email at ibm.com
Leticia DeckerPh.D. in Data Science and Computation / Post-doc Researcher @ Scuola Normale SuperioreVerified email at sns.it
Cristiano Mesquita GarciaPontifícia Universidade Católica / PRVerified email at pucpr.edu.br
Araceli SanchisFull professor of computer science, Carlos III of Madrid UniversityVerified email at inf.uc3m.es
Goran AndonovskiTeaching AssistantVerified email at fe.uni-lj.si
Reinaldo Martínez PalharesFull Professor (UFMG) - Federal University of Minas GeraisVerified email at ufmg.br
Edwin LughoferJohannes Kepler University LinzVerified email at jku.at
Bruno CostaStaff Software Engineer (Machine Learning) - Google, YouTubeVerified email at google.com
Víctor C. S. CamposProfessor no Departamento de Engenharia Eletrônica, Universidade Federal de Minas GeraisVerified email at cpdee.ufmg.br
Gabriella CasalinoInformatics Department, University of Bari, Bari, ItalyVerified email at uniba.it
Katarzyna Kaczmarek-MajerAssistant Professor at Systems Research Institute Polish Academy of SciencesVerified email at ibspan.waw.pl
Giovanna CastellanoAssociate Professor, University of Bari Aldo MoroVerified email at uniba.it
Heloisa de Arruda CamargoUniversidade Federal de São CarlosVerified email at ufscar.br
Andre LemosUniversidade Federal de Minas GeraisVerified email at cpdee.ufmg.br
Walmir Matos CaminhasFull Professor, Department of Electronics Engineering - Federal University of Minas Gerais (UFMG)Verified email at cpdee.ufmg.br
Arnab SharmaUniversity of PaderbornVerified email at uni-paderborn.de
Paulo Vitor Campos SouzaResearcher- Fondazione Bruno KesslerVerified email at fbk.eu

Daniel F. Leite

Researcher, Paderborn University, Germany

Verified email at uni-paderborn.de - Homepage

Artificial Intelligence Machine Learning Control Theory Fuzzy Systems Computer Vision


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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	323	2019
Evolving fuzzy granular modeling from nonstationary fuzzy data streams D Leite, R Ballini, P Costa, F Gomide Evolving Systems 3, 65-79, 2012	144	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	142	2018
Evolving granular neural networks from fuzzy data streams D Leite, P Costa, F Gomide Neural Networks 38, 1-16, 2013	136	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	117	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	113	2015
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	75	2020
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	75	2010
An overview on evolving systems and learning from stream data D Leite, I Škrjanc, F Gomide Evolving systems 11 (2), 181-198, 2020	74	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	71	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	67	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	61	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	47	2011
Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction D Leite, I Škrjanc Information sciences 504, 95-112, 2019	45	2019
Interval approach for evolving granular system modeling D Leite, P Costa, F Gomide Learning in non-stationary environments: methods and applications, 271-300, 2012	43	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	41	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	37	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	36	2018

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