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  • Conference proceedings
  • © 2020

Intelligent Systems

9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20–23, 2020, Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12320)

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

Conference series link(s): BRACIS: Brazilian Conference on Intelligent Systems

Conference proceedings info: BRACIS 2020.

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Table of contents (45 papers)

  1. Knowledge Representation, Logic and Fuzzy Systems

    1. Genetic Learning Analysis of Fuzzy Rule-Based Classification Systems Considering Data Reduction

      • Allen Hichard Marques dos Santos, Matheus Giovanni Pires, Fabiana Cristina Bertoni
      Pages 259-271
  2. Machine Learning and Data Mining

    1. Front Matter

      Pages 289-289
    2. An Online Pyramidal Embedding Technique for High Dimensional Big Data Visualization

      • Adriano Barreto, Igor Moreira, Caio Flexa, Eduardo Cardoso, Claudomiro Sales
      Pages 291-306
    3. Exceptional Survival Model Mining

      • Juliana Barcellos Mattos, Eraylson G. Silva, Paulo S. G. de Mattos Neto, Renato Vimieiro
      Pages 307-321
    4. 2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors

      • Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho
      Pages 337-351
    5. A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods

      • Cephas A. S. Barreto, Arthur C. Gorgônio, Anne M. P. Canuto, João C. Xavier-Júnior
      Pages 352-366
    6. Active Learning Embedded in Incremental Decision Trees

      • Vinicius Eiji Martins, Victor G. Turrisi da Costa, Sylvio Barbon Junior
      Pages 367-381
    7. Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network

      • Tiago Colliri, Alexandre C. B. Delbem, Liang Zhao
      Pages 397-411
    8. Decoding Machine Learning Benchmarks

      • Lucas F. F. Cardoso, Vitor C. A. Santos, Regiane S. Kawasaki Francês, Ricardo B. C. Prudêncio, Ronnie C. O. Alves
      Pages 412-425
    9. Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification

      • Caio Luiggy Riyoichi Sawada Ueno, Igor Braga, Diego Furtado Silva
      Pages 426-441
    10. Comparative Study of Fast Stacking Ensembles Families Algorithms

      • Laura Maria Palomino Mariño, Agustín Alejandro Ortiz-Díaz, Germano Crispim Vasconcelos
      Pages 456-470
    11. KNN Applied to PDG for Source Code Similarity Classification

      • Clóvis Daniel Souza Silva, Leonardo Ferreira da Costa, Leonardo Sampaio Rocha, Gerardo Valdísio Rodrigues Viana
      Pages 471-482
    12. Measuring Instance Hardness Using Data Complexity Measures

      • José L. M. Arruda, Ricardo B. C. Prudêncio, Ana C. Lorena
      Pages 483-497
    13. Simulating Complexity Measures on Imbalanced Datasets

      • Victor H. Barella, Luís P. F. Garcia, André C. P. L. F. de Carvalho
      Pages 498-512
    14. SSL-C4.5: Implementation of a Classification Algorithm for Semi-supervised Learning Based on C4.5

      • Agustín Alejandro Ortiz-Díaz, Flavio Roberto Bayer, Fabiano Baldo
      Pages 513-525
  3. Multidisciplinary Artificial and Computational Intelligence and Applications

    1. Front Matter

      Pages 527-527

Other Volumes

  1. Intelligent Systems

About this book

The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020.

The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions.

The contributions are organized in the following topical section:

Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing.

Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications.

Due to the Corona pandemic BRACIS 2020 was held as a virtual event.

Editors and Affiliations

  • Federal University of São Carlos, São Carlos, Brazil

    Ricardo Cerri

  • Federal University of ABC, Santo Andre, Brazil

    Ronaldo C. Prati

Bibliographic Information

Buy it now

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access