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Intelligent Systems

11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 – December 1, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. João Carlos Xavier-Junior

    1. Federal University of Rio Grande do Norte, Natal, Brazil

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  2. Ricardo Araújo Rios

    1. Federal University of Bahia, Salvador, Brazil

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13653)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: BRACIS 2022.

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Table of contents (44 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Mortality Risk Evaluation: A Proposal for Intensive Care Units Patients Exploring Machine Learning Methods

    • Alexandre Renato Rodrigues de Souza, Fabrício Neitzke Ferreira, Rodrigo Blanke Lambrecht, Leonardo Costa Reichow, Helida Salles Santos, Renata Hax Sander Reiser et al.
    Pages 1-14

  3. Requirements Elicitation Techniques and Tools in the Context of Artificial Intelligence

    • André Filipe de Sousa Silva, Geovana Ramos Sousa Silva, Edna Dias Canedo
    Pages 15-29

  4. An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments

    • Arthur C. Gorgônio, Cephas A. da S. Barreto, Song Jong Márcio Simioni da Costa, Anne Magály de P. Canuto, Karliane M. O. Vale, Flavius L. Gorgônio
    Pages 30-44

  5. The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic

    • Augusto Dantas, Aurora Pozo
    Pages 45-60

  6. A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task

    • Claudio D. G. Linhares, Claudiney R. Tinoco, Jean R. Ponciano, Gina M. B. Oliveira, Bruno A. N. Travençolo
    Pages 61-76

  7. Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback

    • Douglas Vitório, Ellen Souza, Lucas Martins, Nádia F. F. da Silva, André Carlos Ponce de Leon Ferreira de Carvalho, Adriano L. I. Oliveira
    Pages 77-91

  8. Adaptive Fast XGBoost for Regression

    • Fernanda Maria de Souza, Julia Grando, Fabiano Baldo
    Pages 92-106

  9. The Effects of Under and Over Sampling in Exoplanet Transit Identification with Low Signal-to-Noise Ratio Data

    • Fernando Correia Braga, Norton Trevisan Roman, Diego Falceta-Gonçalves
    Pages 107-121

  10. Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements

    • Gabriel Maia Bezerra, Elene Firmeza Ohata, Pedro Yuri Rodrigues Nunes, Levy dos Santos Silveira, Luiz Lannes Loureiro, Victor Zaban Bittencourt et al.
    Pages 122-134

  11. Feature Extraction for a Genetic Programming-Based Brain-Computer Interface

    • Gabriel Henrique de Souza, Gabriel Oliveira Faria, Luciana Paixão Motta, Heder Soares Bernardino, Alex Borges Vieira
    Pages 135-149

  12. Selecting Optimal Trace Clustering Pipelines with Meta-learning

    • Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani, Paolo Ceravolo
    Pages 150-164

  13. Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision

    • Ivan J. Reis Filho, Luiz H. D. Martins, Antonio R. S. Parmezan, Ricardo M. Marcacini, Solange O. Rezende
    Pages 165-179

  14. Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery

    • Jader M. Caldonazzo Garbelini, Danilo Sipoli Sanches, Aurora Trinidad Ramirez Pozo
    Pages 180-194

  15. Mutation Rate Analysis Using a Self-Adaptive Genetic Algorithm on the OneMax Problem

    • João Victor Ribeiro Ferro, José Rubens da Silva Brito, Roberta Vilhena Vieira Lopes, Evandro de Barros Costa
    Pages 195-208

  16. Application of the Sugeno Integral in Fuzzy Rule-Based Classification

    • Jonata Wieczynski, Giancarlo Lucca, Eduardo Borges, Graçaliz Dimuro
    Pages 209-220

  17. Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment

    • Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia
    Pages 221-236

  18. Glomerulosclerosis Identification Using a Modified Dense Convolutional Network

    • Justino Santos, Vinicius Machado, Luciano Oliveira, Washington Santos, Nayze Aldeman, Angelo Duarte et al.
    Pages 237-252

  19. Diffusion-Based Approach to Style Modeling in Expressive TTS

    • Leonardo B. de M. M. Marques, Lucas H. Ueda, Flávio O. Simões, Mário Uliani Neto, Fernando O. Runstein, Edson J. Nagle et al.
    Pages 253-267

  20. Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods

    • Lucas Malacarne Astore, Frederico Gadelha Guimarães, Carlos Alberto Severiano Junior
    Pages 268-282
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Other volumes

  1. Intelligent Systems

  2. Intelligent Systems

Keywords

About this book

The two-volume set LNAI 13653 and 13654 constitutes the refereed proceedings of the 11th Brazilian Conference on Intelligent Systems, BRACIS 2022, which took place in Campinas, Brazil, in November/December 2022. 


The 89 papers presented in the proceedings were carefully reviewed and selected from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence.

Editors and Affiliations

  • Federal University of Rio Grande do Norte, Natal, Brazil

    João Carlos Xavier-Junior

  • Federal University of Bahia, Salvador, Brazil

    Ricardo Araújo Rios

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