Search Results - "Guimaraes, Augusto Junio"
-
1
Incremental regularized Data Density-Based Clustering neural networks to aid in the construction of effort forecasting systems in software development
Published in Applied intelligence (Dordrecht, Netherlands) (01-09-2019)“…The challenge of reducing complexity, failures and time in software development are tasks found in the vast majority of information technology companies. The…”
Get full text
Journal Article -
2
Regularized neuro-fuzzy AI model to aid score management in Online distance learning forums
Published in 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (11-07-2021)“…This paper proposes to use an artificial intelligence (AI) model based on neuro-fuzzy techniques to aid in the automatic evaluation of notes originated from…”
Get full text
Conference Proceeding -
3
An Evolving Fuzzy Neural Network Based on Or-Type Logic Neurons for Identifying and Extracting Knowledge in Auction Fraud
Published in Mathematics (Basel) (01-10-2022)“…The rise in online transactions for purchasing goods and services can benefit the parties involved. However, it also creates uncertainty and the possibility of…”
Get full text
Journal Article -
4
Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems
Published in Inteligencia artificial (01-12-2018)Get full text
Journal Article -
5
Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy
Published in Big data and cognitive computing (01-06-2019)“…Human papillomavirus (HPV) infection is related to frequent cases of cervical cancer and genital condyloma in humans. Up to now, numerous methods have come…”
Get full text
Journal Article -
6
Stochastic parallel extreme artificial hydrocarbon networks: An implementation for fast and robust supervised machine learning in high-dimensional data
Published in Engineering applications of artificial intelligence (01-03-2020)“…Artificial hydrocarbon networks (AHN) – a supervised learning method inspired on organic chemical structures and mechanisms – have shown improvements in…”
Get full text
Journal Article -
7
An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons
Published in Applied soft computing (01-11-2021)“…This paper proposes the definition of the architecture of an evolving fuzzy neural network based on self-organizing direction aware data partitioning through…”
Get full text
Journal Article -
8
Autonomous Data Density pruning fuzzy neural network for Optical Interconnection Network
Published in Evolving systems (01-12-2021)“…Traditionally, fuzzy neural networks have parametric clustering methods based on equally spaced membership functions to fuzzify inputs of the model. In this…”
Get full text
Journal Article -
9
Detection of Anomalies in Large-Scale Cyberattacks Using Fuzzy Neural Networks
Published in AI (Basel) (01-03-2020)“…The fuzzy neural networks are hybrid structures that can act in several contexts of the pattern classification, including the detection of failures and…”
Get full text
Journal Article -
10
Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems
Published in Inteligencia artificial (01-12-2018)“…This paper presents a novel learning algorithm for fuzzy logic neuron based on neural networks and fuzzy systems able to generate accurate and transparent…”
Get full text
Journal Article -
11
An intelligent Bayesian hybrid approach to help autism diagnosis
Published in Soft computing (Berlin, Germany) (2021)“…This paper proposes a Bayesian hybrid approach based on neural networks and fuzzy systems to construct fuzzy rules to assist experts in detecting features and…”
Get full text
Journal Article -
12
Regularized Fuzzy Neural Networks to Aid Effort Forecasting in the Construction and Software Development
Published 04-12-2018“…Volume 9, Number 6, 2018 Predicting the time to build software is a very complex task for software engineering managers. There are complex factors that can…”
Get full text
Journal Article -
13
Evolving fuzzy neural network based on null-unineurons for the identification of coronary artery disease
Published in 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (09-10-2022)“…Coronary diseases affect a large part of the world population and have become the target of significant research in the academic field. The creation and use of…”
Get full text
Conference Proceeding -
14
Using fuzzy neural networks for improving the prediction of children with autism through mobile devices
Published in 2018 IEEE Symposium on Computers and Communications (ISCC) (01-06-2018)“…Mobile systems were built to aid in the prediction of children with autism traits. This type of system uses artificial intelligence capabilities and machine…”
Get full text
Conference Proceeding -
15
Data density-based clustering for regularized fuzzy neural networks based on nullneurons and robust activation function
Published in Soft computing (Berlin, Germany) (01-12-2019)“…This paper proposes the use of fuzzification functions based on clustering of data based on their density to perform the granularization of the input space…”
Get full text
Journal Article -
16
Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer
Published in Machine learning and knowledge extraction (01-03-2019)“…Research on predictions of breast cancer grows in the scientific community, providing data on studies in patient surveys. Predictive models link areas of…”
Get full text
Journal Article -
17
Fuzzy neural networks to create an expert system for detecting attacks by SQL Injection
Published 09-01-2019“…The International Journal of Forensic Computer Science, Volume 13, Number 1, pages 8-21, 2018 Its constant technological evolution characterizes the…”
Get full text
Journal Article -
18
Method of pruning the hidden layer of the extreme learning machine based on correlation coefficient
Published in 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI) (01-11-2018)“…Extreme learning machines are very efficient tools to perform data classification, besides being a more effective solution to the structures using the…”
Get full text
Conference Proceeding