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Intelligent Systems

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Ricardo Cerri

    1. Federal University of São Carlos, São Carlos, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  2. Ronaldo C. Prati

    1. Federal University of ABC, Santo Andre, 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 12319)

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

Included in the following conference series:

Conference proceedings info: BRACIS 2020.

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Table of contents (46 papers)

  1. Front Matter

    Pages i-xxiii
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  2. Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization

    1. Front Matter

      Pages 1-1
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    2. A New Hybridization of Evolutionary Algorithms, GRASP and Set-Partitioning Formulation for the Capacitated Vehicle Routing Problem

      • André Manhães Machado, Maria Claudia Silva Boeres, Rodrigo de Alvarenga Rosa, Geraldo Regis Mauri
      Pages 3-17

    3. An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers

      • Henry E. L. Cagnini, Alex A. Freitas, Rodrigo C. Barros
      Pages 18-33

    4. An Evolutionary Analytic Center Classifier

      • Renan Motta Goulart, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto
      Pages 34-48

    5. Applying Dynamic Evolutionary Optimization to the Multiobjective Knapsack Problem

      • Thiago Fialho de Queiroz Lafetá, Gina Maira Barbosa de Oliveira
      Pages 49-63

    6. Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clustering

      • Luciano Pacifico, Teresa Ludermir
      Pages 64-78

    7. Dynamic Software Project Scheduling Problem with PSO and Dynamic Strategies Based on Memory

      • Gabriel Fontes da Silva, Leila Silva, André Britto
      Pages 79-94

    8. Evaluation of Metaheuristics in the Optimization of Laguerre-Volterra Networks for Nonlinear Dynamic System Identification

      • Victor O. Costa, Felipe M. Müller
      Pages 95-109

    9. EvoLogic: Intelligent Tutoring System to Teach Logic

      • Cristiano Galafassi, Fabiane F. P. Galafassi, Eliseo B. Reategui, Rosa M. Vicari
      Pages 110-121

    10. Impacts of Multiple Solutions on the Lackadaisical Quantum Walk Search Algorithm

      • Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto, Tiago A. E. Ferreira
      Pages 122-135

    11. Multi-objective Quadratic Assignment Problem: An Approach Using a Hyper-Heuristic Based on the Choice Function

      • Bianca N. K. Senzaki, Sandra M. Venske, Carolina P. Almeida
      Pages 136-150

    12. On Improving the Efficiency of Majorization-Minorization for the Inference of Rank Aggregation Models

      • Leonardo Ramos Emmendorfer
      Pages 151-165

    13. On the Multiple Possible Adaptive Mechanisms of the Continuous Ant Colony Optimization

      • Victor O. Costa, Felipe M. Müller
      Pages 166-178

    14. A Differential Evolution Algorithm for Contrast Optimization

      • Artur Leandro da Costa Oliveira, André Britto
      Pages 179-194

  3. Neural Networks, Deep Learning and Computer Vision

    1. Front Matter

      Pages 195-195
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    2. A Deep Learning Approach for Pulmonary Lesion Identification in Chest Radiographs

      • Eduardo Henrique Pais Pooch, Thatiane Alves Pianoschi Alva, Carla Diniz Lopes Becker
      Pages 197-211

    3. A Pipelined Approach to Deal with Image Distortion in Computer Vision

      • Cristiano Rafael Steffens, Lucas Ricardo Vieira Messias, Paulo Lilles Jorge Drews-Jr, Silvia Silva da Costa Botelho
      Pages 212-225

    4. A Robust Automatic License Plate Recognition System for Embedded Devices

      • Lucas S. Fernandes, Francisco H. S. Silva, Elene F. Ohata, Aldísio Medeiros, Aloísio V. Lira Neto, Yuri L. B. Nogueira et al.
      Pages 226-239

    5. Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Environments

      • Iago R. R. Silva, Gibson B. N. Barbosa, Carolina C. D. Ledebour, Assis T. Oliveira Filho, Judith Kelner, Djamel Sadok et al.
      Pages 240-255
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Other volumes

  1. Intelligent Systems

  2. Intelligent Systems

Keywords

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

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