Francisco Nauber Bernardo Gois

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Bio

Internal Control Auditor of Ceara State Government and Phd. Artificial Intelligence researcher, was a researcher at the School of Public Health of the State of Ceará, was a Data Scientist at Stratio, leader of Artificial Intelligence at the Secretary of Health of the State of Ceará, and Adjunct Professor at the Federal University of Ceará.

Bachelor of Informatics from the University of Fortaleza (2002), Phd and Master of Applied Informatics from the University of Fortaleza (2017). Work primarily on the following topics: machine learning, deep learning, continuous integration, testing, and extreme programming.

Experienced in Computer Science, with an emphasis on Machine Learning and Software Testing.

Modules / Courses:
Other

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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Paper

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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Book Chapter

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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Book Chapter

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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Paper

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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Book Chapter

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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Other

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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Book

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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Paper

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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Book Chapter

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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Book Chapter

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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Book Chapter

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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Book Chapter

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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Other

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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