Daniel F. Leite

52 papers B 17C 1Misc 1Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evolving granular fuzzy control: Overview, case study on the chaotic Hénon map, and research outlook.
Appl. Soft Comput.
Daniel F. Leite, Reinaldo M. Palhares, Igor Skrjanc, Fernando A. C. Gomide
2025 J jnl
From Model-Based and Adaptive Control to Evolving Fuzzy Control.
CoRR
Daniel F. Leite, Igor Skrjanc, Fernando A. C. Gomide
2024 — conf
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams.
EAIS
Daniel F. Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo
2024 — conf
Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers.
FUZZ
Daniel F. Leite, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 — conf
Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees.
FUZZ
Arnab Sharma, Daniel F. Leite, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 Misc conf
Data Driven Fuzzy and Neural Dynamic Systems Modeling.
ICMLC
Daniel F. Leite, Fernando A. C. Gomide
2023 J jnl
Interval incremental learning of interval data streams and application to vehicle tracking.
Inf. Sci.
Daniel F. Leite, Igor Skrjanc, Saso Blazic, Andrej Zdesar, Fernando A. C. Gomide
2022 B conf
Data Driven Fuzzy Modeling Using Level Sets.
FUZZ-IEEE
Daniel F. Leite, Fernando A. C. Gomide, Ronald R. Yager
2022 B conf
Explainable Log Parsing and Online Interval Granular Classification from Streams of Words.
FUZZ-IEEE
Leticia Decker, Daniel F. Leite, Daniele Bonacorsi
2022 — conf
Fuzzy Linguistic Summaries for Explaining Online Semi-Supervised Learning.
IS
Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Daniel F. Leite, Olgierd Hryniewicz
2022 J jnl
Unsupervised Learning and Online Anomaly Detection: An On-Condition Log-Based Maintenance System.
Int. J. Embed. Real Time Commun. Syst.
Leticia Decker, Daniel F. Leite, Francesco Minarini, Simone Rossi Tisbeni, Daniele Bonacorsi
2021 — conf
Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games.
LA-CCI
Daniel F. Leite, Volnei Frigeri Jr., Rodrigo Medeiros
2021 J jnl
Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games.
CoRR
Daniel F. Leite, Volnei Frigeri Jr., Rodrigo Medeiros
2021 J jnl
Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model.
CoRR
Daniel F. Leite, Pedro Henrique Silva Coutinho, Iury Bessa, Murilo C. O. Camargos Filho, Luiz A. Q. Cordovil Júnior, Reinaldo M. Palhares
2021 J jnl
Nonlinear modeling and robust LMI fuzzy control of overhead crane systems.
J. Frankl. Inst.
Charles Aguiar, Daniel F. Leite, Daniel Pereira, Goran Andonovski, Igor Skrjanc
2020 J jnl
An overview on evolving systems and learning from stream data.
Evol. Syst.
Daniel F. Leite, Igor Skrjanc, Fernando A. C. Gomide
2020 — conf
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.
EAIS
Leticia Decker, Daniel F. Leite, Fabio Viola, Daniele Bonacorsi
2020 J jnl
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.
CoRR
Leticia Decker, Daniel F. Leite, Fabio Viola, Daniele Bonacorsi
2020 B conf
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams - With Application to Power Quality Disturbance Detection and Classification.
FUZZ-IEEE
Daniel F. Leite, Leticia Decker, Marcio Santana, Paulo Vitor de Campos Souza
2020 J jnl
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams - With Application to Power Quality Disturbance Detection and Classification.
CoRR
Daniel F. Leite, Leticia Decker, Marcio Santana, Paulo Vitor de Campos Souza
2020 J jnl
Evolving neuro-fuzzy network for real-time high impedance fault detection and classification.
Neural Comput. Appl.
Sergio Silva, Pyramo Costa, Marcio Santana, Daniel F. Leite
2020 J jnl
Fault detection in smart grids with time-varying distributed generation using wavelet energy and evolving neural networks.
Evol. Syst.
Fabricio P. Lucas, Pyramo Costa, Rose M. S. Batalha, Daniel F. Leite, Igor Skrjanc
2020 J jnl
Incremental Missing-Data Imputation for Evolving Fuzzy Granular Prediction.
IEEE Trans. Fuzzy Syst.
Cristiano Garcia, Daniel F. Leite, Igor Skrjanc
2020 J jnl
Optimal Rule-Based Granular Systems From Data Streams.
IEEE Trans. Fuzzy Syst.
Daniel F. Leite, Goran Andonovski, Igor Skrjanc, Fernando A. C. Gomide
2020 B conf
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach.
FUZZ-IEEE
Leticia Decker, Daniel F. Leite, Luca Giommi, Daniele Bonacorsi
2020 J jnl
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach.
CoRR
Leticia Decker, Daniel F. Leite, Luca Giommi, Daniele Bonacorsi
2020 — conf
Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering.
EAIS
Charles Aguiar, Daniel F. Leite
2020 J jnl
Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering.
CoRR
Charles Aguiar, Daniel F. Leite
2019 J jnl
Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction.
Inf. Sci.
Daniel F. Leite, Igor Skrjanc
2019 J jnl
Evolvable fuzzy systems from data streams with missing values: With application to temporal pattern recognition and cryptocurrency prediction.
Pattern Recognit. Lett.
Cristiano Garcia, Ahmed Esmin, Daniel F. Leite, Igor Skrjanc
2019 J jnl
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey.
Inf. Sci.
Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide
2019 B conf
Multiobjective Optimization of Fully Autonomous Evolving Fuzzy Granular Models.
FUZZ-IEEE
Daniel F. Leite, Fernando A. C. Gomide, Igor Skrjanc
2019 B conf
Nonlinear Fuzzy State-Space Modeling and LMI Fuzzy Control of Overhead Cranes.
FUZZ-IEEE
Daniel F. Leite, Charles Aguiar, Daniel Pereira, Gustavo Souza, Igor Skrjanc
2018 J jnl
Ensemble of evolving data clouds and fuzzy models for weather time series prediction.
Appl. Soft Comput.
Eduardo A. Soares, Pyramo Costa, Bruno Costa, Daniel F. Leite
2018 J jnl
Fuzzy clustering and fuzzy validity measures for knowledge discovery and decision making in agricultural engineering.
Comput. Electron. Agric.
Vania C. Mota, Flavio A. Damasceno, Daniel F. Leite
2018 B conf
High Impedance Fault Detection in Time-Varying Distributed Generation Systems Using Adaptive Neural Networks.
IJCNN
Fabricio P. Lucas, Pyramo Costa, Rose M. S. Batalha, Daniel F. Leite
2018 B conf
Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting.
FUZZ-IEEE
Eduardo A. Soares, Heloisa A. Camargo, Suzana J. Camargo, Daniel F. Leite
2017 B conf
Cloud-based evolving intelligent method for weather time series prediction.
FUZZ-IEEE
Eduardo A. Soares, Vania C. Mota, Ricardo Poucas, Daniel F. Leite
2017 B conf
Fuzzy clustering methods applied to the evaluation of compost bedded pack barns.
FUZZ-IEEE
Vania C. Mota, Flavio A. Damasceno, Eduardo A. Soares, Daniel F. Leite
2016 B conf
Fuzzy Granular Neural Network for incremental modeling of nonlinear chaotic systems.
FUZZ-IEEE
Daniel F. Leite, Marcio Santana, Ana Borges, Fernando A. C. Gomide
2015 J jnl
Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems.
IEEE Trans. Fuzzy Syst.
Daniel F. Leite, Reinaldo M. Palhares, Víctor C. S. Campos, Fernando A. C. Gomide
2015 B conf
Evolving ensemble of fuzzy models for multivariate time series prediction.
FUZZ-IEEE
Lourenco Bueno, Pyramo Costa, Israel Mendes, Enderson Cruz, Daniel F. Leite
2015 — ch.
Incremental Granular Fuzzy Modeling Using Imprecise Data Streams.
Fifty Years of Fuzzy Logic and its Applications
Daniel F. Leite, Fernando A. C. Gomide
2013 J jnl
Evolving granular neural networks from fuzzy data streams.
Neural Networks
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2012 — ch.
Evolving Linguistic Fuzzy Models from Data Streams.
Combining Experimentation and Theory
Daniel F. Leite, Fernando A. C. Gomide
2012 J jnl
Evolving fuzzy granular modeling from nonstationary fuzzy data streams.
Evol. Syst.
Daniel F. Leite, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide
2012 B conf
Evolving fuzzy linear regression tree approach for forecasting sales volume of petroleum products.
FUZZ-IEEE
André Paim Lemos, Daniel F. Leite, Leandro Maciel, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide
2012 B conf
Evolving granular neural network for fuzzy time series forecasting.
IJCNN
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2011 B conf
Fuzzy granular evolving modeling for time series prediction.
FUZZ-IEEE
Daniel F. Leite, Fernando A. C. Gomide, Rosangela Ballini, Pyramo Costa Jr.
2010 B conf
Evolving granular neural network for semi-supervised data stream classification.
IJCNN
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2010 C conf
Granular Approach for Evolving System Modeling.
IPMU
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2009 B conf
Evolving granular classification neural networks.
IJCNN
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide