Search Results - "de Campos Souza, Paulo Vitor"

Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network by de Campos Souza, Paulo Vitor, Lughofer, Edwin

“…Heart problems are responsible for the majority of deaths worldwide. The use of intelligent techniques to assist in the identification of existing patterns in…”
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An Explainable Evolving Fuzzy Neural Network to Predict the k Barriers for Intrusion Detection Using a Wireless Sensor Network by de Campos Souza, Paulo Vitor, Lughofer, Edwin, Rodrigues Batista, Huoston

“…Evolving fuzzy neural networks have the adaptive capacity to solve complex problems by interpreting them. This is due to the fact that this type of approach…”
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Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature by de Campos Souza, Paulo Vitor

“…This paper presents a review of the central theories involved in hybrid models based on fuzzy systems and artificial neural networks, mainly focused on…”
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Extreme Wavelet Fast Learning Machine for Evaluation of the Default Profile on Financial Transactions by de Campos Souza, Paulo Vitor, Torres, Luiz Carlos Bambirra

“…Extreme learning machines enable multilayered neural networks to perform activities to facilitate the process and business dynamics. It acts in pattern…”
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An Evolving Fuzzy Neural Network Based on Or-Type Logic Neurons for Identifying and Extracting Knowledge in Auction Fraud by de Campos Souza, Paulo Vitor, Lughofer, Edwin, Batista, Huoston Rodrigues, Guimaraes, Augusto Junio

“…The rise in online transactions for purchasing goods and services can benefit the parties involved. However, it also creates uncertainty and the possibility of…”
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Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy by Junio Guimarães, Augusto, Vitor de Campos Souza, Paulo, Jonathan Silva Araújo, Vinícius, Silva Rezende, Thiago, Souza Araújo, Vanessa

“…Human papillomavirus (HPV) infection is related to frequent cases of cervical cancer and genital condyloma in humans. Up to now, numerous methods have come…”
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EFNN-NullUni: An evolving fuzzy neural network based on null-uninorm by de Campos Souza, Paulo Vitor, Lughofer, Edwin

“…Interpretability in intelligent models becomes a challenge in academic research and approaches that facilitate understanding the responses obtained in models…”
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An advanced interpretable Fuzzy Neural Network model based on uni-nullneuron constructed from n-uninorms by de Campos Souza, Paulo Vitor, Lughofer, Edwin

“…This paper formulates a fuzzy logic neuron that uses n-uninorms to construct uni-nullneurons. A fuzzy neural network (FNN) composed of these neurons is easy to…”
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EFNC-Exp: An evolving fuzzy neural classifier integrating expert rules and uncertainty by de Campos Souza, Paulo Vitor, Lughofer, Edwin

“…Data stream classification processes with neuro-fuzzy approaches may involve situations where uncertainties arise, which may directly interfere with the…”
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An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities by de Campos Souza, Paulo Vitor, Lughofer, Edwin

“…This paper proposes a hybrid architecture based on neural networks, fuzzy systems, and n-uninorms for solving pattern classification problems, termed as…”
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IFNN: Enhanced interpretability and optimization in FNN via Adam algorithm by de Campos Souza, Paulo Vitor, Dragoni, Mauro

“…This investigation seeks to reconcile the interpretability of artificial intelligence with the imperative of maintaining optimal performance, through the…”
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EFNN-Nul0- a trustworthy knowledge extraction about stress identification through evolving fuzzy neural networks by Vitor de Campos Souza, Paulo, Dragoni, Mauro

“…This paper presents a novel hybrid architecture, denoted as EFNN-Nul0 (evolving neuro-fuzzy system based on null-unineurons), meticulously crafted for stress…”
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Online active learning for an evolving fuzzy neural classifier based on data density and specificity by de Campos Souza, Paulo Vitor, Lughofer, Edwin

“…Evolving fuzzy neural classifiers are incremental, adaptive models that use new samples to update the architecture and parameters of the models with new…”
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Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback by de Campos Souza, Paulo Vitor, Lughofer, Edwin

“…Evolving fuzzy neural networks are models capable of solving complex problems in a wide variety of contexts. In general, the quality of the data evaluated by a…”
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PEFNN: Parallel Evolving Fuzzy Neural Network for Sepsis Identification in Patients by De Campos Souza, Paulo Vitor, Dragoni, Mauro

“…In the healthcare domain, the fusion of machine learning with medical examination data has markedly propelled the monitoring of sepsis. This perilous medical…”
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Using fuzzy neural networks for improving the prediction of children with autism through mobile devices by Souza, Paulo Vitor de Campos, Guimaraes, Augusto Junio

“…Mobile systems were built to aid in the prediction of children with autism traits. This type of system uses artificial intelligence capabilities and machine…”
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An interpretable uni-nullneuron-based evolving neuro-fuzzy network acting to identify Dry Beans by de Campos Souza, Paulo Vitor, Lughofer, Edwin

“…Evolving systems are models which are able to act dynamically in adaptive open-loop manner for solving data stream modeling problems within different…”
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Incremental regularized Data Density-Based Clustering neural networks to aid in the construction of effort forecasting systems in software development by de Campos Souza, Paulo Vitor, Guimaraes, Augusto Junio, Araujo, Vanessa Souza, Rezende, Thiago Silva, Araujo, Vinicius Jonathan Silva

“…The challenge of reducing complexity, failures and time in software development are tasks found in the vast majority of information technology companies. The…”
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Regularized neuro-fuzzy AI model to aid score management in Online distance learning forums by Vitor de Campos Souza, Paulo, Lughofer, Edwin, Junio Guimaraes, Augusto

“…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…”
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Pruning method in the architecture of extreme learning machines based on partial least squares regression by de Campos Souza, Paulo Vitor

“…The extreme learning machines-ELM are useful models for performing classification and regression of data, as well as being an alternative methodology to…”
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