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Luiz Affonso Guedes

Full Professor

Federal University of Rio Grande do Norte

Brazil

Research Interests

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Professors in Neuropsychology

Articles (14)

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2026

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2026

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2026

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2023

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2023

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2023

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2023

Collaborators (4)

Bruno Motta de Carvalho

Professor

Federal University of Rio Grande do Norte

BRAZIL

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Renan Cipriano Moioli

Assistant Professor

Federal University of Rio Grande do Norte

BRAZIL

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Ivanovitch Silva

Professor

Federal University of Rio Grande do Norte

BRAZIL

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Marjory Da Costa Abreu

Associate Professor (Reader) in Ethical Artificial Intelligence and Transforming Lives Fellow

Sheffield Hallam University

UNITED KINGDOM

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Luiz Affonso Guedes

Research Interests

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Articles (14)

Non-Destructive Coconut Maturity Classification from Tapping Sounds Using Frozen CLAP Embeddings and Multi-Event Aggregation

Rolling Bearing Fault Detection Based on Evolving Approaches

Scientific and technological mapping of big data architectures in healthcare

Single-channel selection for epileptic seizure identification through a custom machine learning model

Kolmogorov-Arnold Networks for Interpretable Analysis of Water Quality Time-Series Data

Integrating Machine Learning into Asset Administration Shell: A Practical Example Using Industrial Control Valves

Using Association Rules to Obtain Sets of Prevalent Symptoms throughout the COVID-19 Pandemic: An Analysis of Similarities between Cases of COVID-19 and Unspecified SARS in São Paulo-Brazil

A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm

SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis

Concept Drift Detection Based on Typicality and Eccentricity

Advancing Fault Prediction: A Comparative Study between LSTM and Spiking Neural Networks

Application of Graph Theory in the Analysis of Query Similarity and Complexity in Relational Databases

Uma Abordagem para Geração e Visualização de Regras de Associação de Acesso a Conteúdos de Portal de Notícias

Using Explainable Artificial Intelligence to Obtain Efficient Seizure-Detection Models Based on Electroencephalography Signals

Collaborators (4)

Bruno Motta de Carvalho

Renan Cipriano Moioli

Ivanovitch Silva

Marjory Da Costa Abreu

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