Daniel F. Leite

According to our database, Daniel F. Leite authored at least 45 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Interval incremental learning of interval data streams and application to vehicle tracking.

Daniel F. Leite, Igor Skrjanc, Saso Blazic, Andrej Zdesar, Fernando A. C. Gomide

Inf. Sci., June, 2023

Data Driven Fuzzy and Neural Dynamic Systems Modeling.

Daniel F. Leite, Fernando A. C. Gomide

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

Unsupervised Learning and Online Anomaly Detection: An On-Condition Log-Based Maintenance System.

Leticia Decker, Daniel F. Leite, Francesco Minarini, Simone Rossi Tisbeni, Daniele Bonacorsi

Int. J. Embed. Real Time Commun. Syst., 2022

Ensemble of hybrid Bayesian networks for predicting the AMEn of broiler feedstuffs.

Tatiane Carvalho Alvarenga, Renato Ribeiro de Lima, Sérgio Domingos Simão, Luiz Carlos Brandão Júnior, Júlio Sílvio de Sousa Bueno Filho, Renata Ribeiro Alvarenga, Paulo Borges Rodrigues, Daniel Furtado Leite

Comput. Electron. Agric., 2022

Fuzzy Linguistic Summaries for Explaining Online Semi-Supervised Learning.

Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Daniel F. Leite, Olgierd Hryniewicz

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Data Driven Fuzzy Modeling Using Level Sets.

Daniel F. Leite, Fernando A. C. Gomide, Ronald R. Yager

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Explainable Log Parsing and Online Interval Granular Classification from Streams of Words.

Leticia Decker, Daniel F. Leite, Daniele Bonacorsi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Nonlinear modeling and robust LMI fuzzy control of overhead crane systems.

Charles Aguiar, Daniel F. Leite, Daniel Pereira, Goran Andonovski, Igor Skrjanc

J. Frankl. Inst., 2021

Evolving Fuzzy System Applied to Battery Charge Capacity Prediction for Fault Prognostics.

Murilo C. O. Camargos, Iury Bessa, Luiz A. Q. Cordovil Junior, Pedro Henrique Silva Coutinho, Daniel Furtado Leite, Reinaldo Martinez Palhares

CoRR, 2021

Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model.

Daniel F. Leite, Pedro Henrique Silva Coutinho, Iury Bessa, Murilo C. O. Camargos Filho, Luiz Cordovil Junior, Reinaldo M. Palhares

CoRR, 2021

Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games.

Daniel F. Leite, Volnei Frigeri Jr., Rodrigo Medeiros

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020

Optimal Rule-Based Granular Systems From Data Streams.

Daniel F. Leite, Goran Andonovski, Igor Skrjanc, Fernando A. C. Gomide

IEEE Trans. Fuzzy Syst., 2020

Incremental Missing-Data Imputation for Evolving Fuzzy Granular Prediction.

Cristiano Garcia, Daniel F. Leite, Igor Skrjanc

IEEE Trans. Fuzzy Syst., 2020

Evolving neuro-fuzzy network for real-time high impedance fault detection and classification.

Sergio Silva, Pyramo Costa, Marcio Santana, Daniel F. Leite

Neural Comput. Appl., 2020

Fault detection in smart grids with time-varying distributed generation using wavelet energy and evolving neural networks.

Fabricio P. Lucas, Pyramo Costa, Rose M. S. Batalha, Daniel F. Leite, Igor Skrjanc

Evol. Syst., 2020

An overview on evolving systems and learning from stream data.

Daniel F. Leite, Igor Skrjanc, Fernando A. C. Gomide

Evol. Syst., 2020

EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams - With Application to Power Quality Disturbance Detection and Classification.

Daniel F. Leite, Leticia Decker, Marcio Santana, Paulo Vitor de Campos Souza

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach.

Leticia Decker, Daniel F. Leite, Luca Giommi, Daniele Bonacorsi

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.

Leticia Decker, Daniel F. Leite, Fabio Viola, Daniele Bonacorsi

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering.

Charles Aguiar, Daniel F. Leite

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019

Evolvable fuzzy systems from data streams with missing values: With application to temporal pattern recognition and cryptocurrency prediction.

Cristiano Garcia, Ahmed Esmin, Daniel F. Leite, Igor Skrjanc

Pattern Recognit. Lett., 2019

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey.

Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide

Inf. Sci., 2019

Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction.

Daniel F. Leite, Igor Skrjanc

Inf. Sci., 2019

Multiobjective Optimization of Fully Autonomous Evolving Fuzzy Granular Models.

Daniel F. Leite, Fernando A. C. Gomide, Igor Skrjanc

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Nonlinear Fuzzy State-Space Modeling and LMI Fuzzy Control of Overhead Cranes.

Daniel F. Leite, Charles Aguiar, Daniel Pereira, Gustavo Souza, Igor Skrjanc

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Fuzzy clustering and fuzzy validity measures for knowledge discovery and decision making in agricultural engineering.

Vania C. Mota, Flavio A. Damasceno, Daniel F. Leite

Comput. Electron. Agric., 2018

Ensemble of evolving data clouds and fuzzy models for weather time series prediction.

Eduardo A. Soares, Pyramo Costa, Bruno Costa, Daniel F. Leite

Appl. Soft Comput., 2018

High Impedance Fault Detection in Time-Varying Distributed Generation Systems Using Adaptive Neural Networks.

Fabricio P. Lucas, Pyramo Costa, Rose M. S. Batalha, Daniel F. Leite

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting.

Eduardo A. Soares, Heloisa A. Camargo, Suzana J. Camargo, Daniel F. Leite

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Cloud-based evolving intelligent method for weather time series prediction.

Eduardo A. Soares, Vania C. Mota, Ricardo Poucas, Daniel F. Leite

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Fuzzy clustering methods applied to the evaluation of compost bedded pack barns.

Vania C. Mota, Flavio A. Damasceno, Eduardo A. Soares, Daniel F. Leite

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Fuzzy Granular Neural Network for incremental modeling of nonlinear chaotic systems.

Daniel F. Leite, Marcio Santana, Ana Borges, Fernando A. C. Gomide

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Incremental Granular Fuzzy Modeling Using Imprecise Data Streams.

Daniel F. Leite, Fernando A. C. Gomide

Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015

Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems.

Daniel F. Leite, Reinaldo M. Palhares, Víctor C. S. Campos, Fernando A. C. Gomide

IEEE Trans. Fuzzy Syst., 2015

Evolving ensemble of fuzzy models for multivariate time series prediction.

Lourenco Bueno, Pyramo Costa, Israel Mendes, Enderson Cruz, Daniel F. Leite

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2013

Evolving granular neural networks from fuzzy data streams.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Neural Networks, 2013

2012

Evolving Linguistic Fuzzy Models from Data Streams.

Daniel F. Leite, Fernando A. C. Gomide

Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012

Sistemas granulares evolutivos.

Daniel Furtado Leite

PhD thesis, 2012

Evolving fuzzy granular modeling from nonstationary fuzzy data streams.

Daniel F. Leite, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide

Evol. Syst., 2012

Evolving granular neural network for fuzzy time series forecasting.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Evolving fuzzy linear regression tree approach for forecasting sales volume of petroleum products.

André Paim Lemos, Daniel F. Leite, Leandro Maciel, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide

Proceedings of the FUZZ-IEEE 2012, 2012

2011

Fuzzy granular evolving modeling for time series prediction.

Daniel F. Leite, Fernando A. C. Gomide, Rosangela Ballini, Pyramo Costa Jr.

Proceedings of the FUZZ-IEEE 2011, 2011

2010

Granular Approach for Evolving System Modeling.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Evolving granular neural network for semi-supervised data stream classification.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Evolving granular classification neural networks.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the International Joint Conference on Neural Networks, 2009