Francisco Nauber Bernardo Gois

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Bio

Auditor de Controlo Interno do Governo do Estado do Ceará e investiga sobre Inteligência Artificial. Foi investigador da Escola de Saúde Pública do Estado do Ceará, foi Cientista de Dados na Stratio, líder de Inteligência Artificial na Secretaria de Saúde do Estado do Ceará, e Professor Adjunto da Universidade Federal do Ceará.

Tem um bacharel em Informática pela Universidade de Fortaleza (2002), Doutorado e Mestre em Informática Aplicada pela Universidade de Fortaleza (2017). Atua principalmente nos seguintes temas: machine learning, deep learning, integração contínua, testes e programação extrema.

Tem experiência na área de Ciência da Computação, com ênfase em Aprendizado de Máquina e Teste de Software.

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Outras

A Multi-objective Metaheuristic Approach to Search-Based Stress Testing

Francisco Nauber Bernardo Gois (with Gois, N.). 2017. IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology
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Artigo

A New Generative Model for Textual Descriptions of Medical Images Using Transformers Enhanced with Convolutional Neural Networks

Francisco Nauber Bernardo Gois (with Artur Gomes Barreto). 2023. Bioengineering
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Capítulo de Livro

Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML

Francisco Nauber Bernardo Gois (with Marques, J.A.L.). 2021. SpringerBriefs in Applied Sciences and Technology
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Capítulo de Livro

Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention

Francisco Nauber Bernardo Gois (with Marques, J.A.L.). 2021. SpringerBriefs in Applied Sciences and Technology
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Artigo

Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification

Francisco Nauber Bernardo Gois (with Hu, Q.). 2022. Applied Soft Computing
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Capítulo de Livro

Forecasting COVID-19 Time Series Based on an Autoregressive Model

Francisco Nauber Bernardo Gois (with Marques, J.A.L.). 2021. SpringerBriefs in Applied Sciences and Technology
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Outras

Improving stress search based testing using a hybrid metaheuristic approach

Francisco Nauber Bernardo Gois (with Bernardo Gois, F.N.). 2017. Proceedings of the 2016 42nd Latin American Computing Conference, CLEI 2016
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Livro

Malaria Blood Smears Object Detection Based on Convolutional DCGAN and CNN Deep Learning Architectures

Francisco Nauber Bernardo Gois (with Gois, F.N.B.). 2023. Studies in Computational Intelligence
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Artigo

Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML

Francisco Nauber Bernardo Gois (with Han, T.). 2021. Soft Computing
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Capítulo de Livro

Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering

Francisco Nauber Bernardo Gois (with Marques, J.A.L.). 2021. SpringerBriefs in Applied Sciences and Technology
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Capítulo de Livro

Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil

Francisco Nauber Bernardo Gois (with Marques, J.A.L.). 2021. SpringerBriefs in Applied Sciences and Technology
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Capítulo de Livro

Prediction for Decision Support During the COVID-19 Pandemic

Francisco Nauber Bernardo Gois (with Marques, J.A.L.). 2021. SpringerBriefs in Applied Sciences and Technology
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Capítulo de Livro

Predictive models to the COVID-19

Francisco Nauber Bernardo Gois (with Gois, F.N.B.). 2021. Data Science for COVID-19 Volume 1: Computational Perspectives
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Outras

Using Scrum in small teams: Combining case study with grounded theory,Uso de Scrum em pequenas equipes: Aliando estudo de caso com grounded theory

Francisco Nauber Bernardo Gois (with Simão Filho, M.). 2014. Iberian Conference on Information Systems and Technologies, CISTI
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