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Advances in Artificial Intelligence – IBERAMIA 2022

17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23–25, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ana Cristina Bicharra Garcia

    1. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

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  2. Mariza Ferro

    1. Fluminense Federal University, Niterói, Brazil

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  3. Julio Cesar Rodríguez Ribón

    1. University of Cartagena, Cartagena de Indias, Colombia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13788)

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

Included in the following conference series:

Conference proceedings info: IBERAMIA 2022.

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xv
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  2. Applications of AI

    1. Front Matter

      Pages 1-1
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    2. Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson’s Disease Diagnosis

      • Juan Olmos, Juan Galvis, Fabio Martínez
      Pages 3-14

    3. Forroset: A Multipurpose Dataset of Brazilian Forró Music

      • Lucas Ferreira-Paiva, Elizabeth Regina Alfaro-Espinoza, Pablo de Souza Vieira Santana, Vinicius Martins Almeida, Amanda Bomfim Moitinho, Leonardo Bonato Felix et al.
      Pages 15-26

    4. Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques

      • Hermes Andrés Ayala-Cucas, Edison Alexander Mora-Piscal, Dagoberto Mayorca-Torres, Diego Hernán Peluffo-Ordoñez, Alejandro J. León-Salas
      Pages 27-40

    5. Learning Automata Using Dimensional Reduction

      • David Kuboň, František Mráz, Ivan Rychtera
      Pages 41-52

    6. Modelling Urban Traffic Configuration with the Influence of Human Factors

      • Ariadna C. Moreno Román, Mailyn Moreno Espino, Cynthia Porras, Juan Pavón
      Pages 53-64

    7. Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent

      • Pedro Oliveira, M. Salomé Duarte, Paulo Novais
      Pages 65-76

    8. Optimal Architecture Discovery for Physics-Informed Neural Networks

      • Taco de Wolff, Hugo Carrillo, Luis Martí, Nayat Sanchez-Pi
      Pages 77-88

    9. An AI–Based Approach for Failure Prediction in Transmission Lines Components

      • Alberto Reyes, Ramiro Hernández, Alberto Hernández, Leonardo Rejón, Karla Gutiérrez, Ricardo Montes et al.
      Pages 89-100

  3. Ethics and Smart City

    1. Front Matter

      Pages 101-101
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    2. Crowdsensing on Smart Cities: A Systematic Review

      • Rui Miranda, Vasco Ramos, Eduarda Ribeiro, Carla Rodrigues, António Silva, Dalila Durães et al.
      Pages 103-106

    3. Sentiment Gradient, An Enhancement to the Truth, Lies and Sarcasm Detection

      • Fernando Cardoso Durier da Silva, Ana Cristina Bicharra Garcia, Sean Wolfgand Matsui Siqueira
      Pages 107-118

  4. Green and Sustainable AI

    1. Front Matter

      Pages 119-119
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    2. Selection of Acoustic Features for the Discrimination Between Highly and Moderately Transformed Colombian Soundscapes

      • Fernando Martínez-Tabares, Mauricio Orozco-Alzate
      Pages 121-132

    3. A Multi-objective Hyperparameter Optimization for Machine Learning Using Genetic Algorithms: A Green AI Centric Approach

      • André M. Yokoyama, Mariza Ferro, Bruno Schulze
      Pages 133-144

  5. Machine Learning

    1. Front Matter

      Pages 145-145
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    2. Evolving Node Embeddings for Dynamic Exploration of Network Topologies

      • Karen B. Enes, Matheus Nunes, Fabricio Murai, Gisele L. Pappa
      Pages 147-159

    3. Fast Kernel Density Estimation with Density Matrices and Random Fourier Features

      • Joseph A. Gallego, Juan F. Osorio, Fabio A. Gonzalez
      Pages 160-172

    4. A Novel Methodology for Engine Diagnosis Based on Multiscale Permutation Entropy and Machine Learning Using Non-intrusive Data

      • Juan Camilo Mejía Hernández, Federico Gutiérrez Madrid, Héctor Fabio Quintero Riaza, Carlos Alberto Romero Piedrahita, Juan David Ramírez Alzate
      Pages 173-184
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About this book

This book constitutes the refereed proceedings of the 17th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2022, held in Cartagena de Indias, Colombia, in November 2022.

The 33 full and 4 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: applications of AI; ethics and smart city; green and sustainable AI; machine learning; natural language processing; robotics and computer vision; simulation and forecasting.

Editors and Affiliations

  • Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Ana Cristina Bicharra Garcia

  • Fluminense Federal University, Niterói, Brazil

    Mariza Ferro

  • University of Cartagena, Cartagena de Indias, Colombia

    Julio Cesar Rodríguez Ribón

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