Daniel F. Leite
Orcid: 0000-0003-3135-2933Affiliations:
- Paderborn University, Department of Computer Science, Germany
- Adolfo Ibáñez University, Santiago, Chile (2022 - 2023)
- Federal University of Lavras, Department of Engineering, MG, Brazil (2014 - 2022)
According to our database1,
Daniel F. Leite
authored at least 50 papers
between 2009 and 2024.
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Bibliography
2024
Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024
Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024
2023
Interval incremental learning of interval data streams and application to vehicle tracking.
Inf. Sci., June, 2023
Semi-supervised vs. supervised learning for mental health monitoring: A case study on bipolar disorder.
Int. J. Appl. Math. Comput. Sci., 2023
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.
Int. J. Embed. Real Time Commun. Syst., 2022
Comput. Electron. Agric., 2022
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Explainable Log Parsing and Online Interval Granular Classification from Streams of Words.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
2021
J. Frankl. Inst., 2021
Evolving Fuzzy System Applied to Battery Charge Capacity Prediction for Fault Prognostics.
CoRR, 2021
Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model.
CoRR, 2021
Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021
2020
IEEE Trans. Fuzzy Syst., 2020
Evolving neuro-fuzzy network for real-time high impedance fault detection and classification.
Neural Comput. Appl., 2020
Fault detection in smart grids with time-varying distributed generation using wavelet energy and evolving neural networks.
Evol. Syst., 2020
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams - With Application to Power Quality Disturbance Detection and Classification.
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.
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.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020
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.
Pattern Recognit. Lett., 2019
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey.
Inf. Sci., 2019
Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction.
Inf. Sci., 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
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.
Comput. Electron. Agric., 2018
Ensemble of evolving data clouds and fuzzy models for weather time series prediction.
Appl. Soft Comput., 2018
High Impedance Fault Detection in Time-Varying Distributed Generation Systems Using Adaptive Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015
IEEE Trans. Fuzzy Syst., 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2013
2012
Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012
Evol. Syst., 2012
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.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the International Joint Conference on Neural Networks, 2009