Thiago Silva Rezende

Orcid: 0000-0003-0040-8156

According to our database1, Thiago Silva Rezende authored at least 15 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Autonomous Data Density pruning fuzzy neural network for Optical Interconnection Network.
Evol. Syst., 2021

Self-organized direction aware for regularized fuzzy neural networks.
Evol. Syst., 2021

2020
An Intelligent Hybrid Model for the Construction of Expert Systems in Malware Detection.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Data density-based clustering for regularized fuzzy neural networks based on nullneurons and robust activation function.
Soft Comput., 2019

Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer.
Mach. Learn. Knowl. Extr., 2019

Evolving fuzzy neural networks to aid in the construction of systems specialists in cyber attacks.
J. Intell. Fuzzy Syst., 2019

Fuzzy neural networks to create an expert system for detecting attacks by SQL Injection.
CoRR, 2019

Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy.
Big Data Cogn. Comput., 2019

Incremental regularized Data Density-Based Clustering neural networks to aid in the construction of effort forecasting systems in software development.
Appl. Intell., 2019

Bayesian Fuzzy Clustering neural network for regression problems.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Using hybrid systems in the construction of expert systems in the identification of cognitive and motor problems in children and young people.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Regularized Fuzzy Neural Networks to Aid Effort Forecasting in the Construction and Software Development.
CoRR, 2018

Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems.
Inteligencia Artif., 2018

Method of pruning the hidden layer of the extreme learning machine based on correlation coefficient.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Using Fuzzy Neural Networks to the Prediction of Improvement in Expert Systems for Treatment of Immunotherapy.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2018, 2018


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