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Advances in Artificial Intelligence - IBERAMIA 2016

15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Manuel Montes y Gómez

    1. INAOE , Tonantzintla, Mexico

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  2. Hugo Jair Escalante

    1. Astrofisica Optica y Electronica, INAOE , Puebla, Mexico

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  3. Alberto Segura

    1. Universidad Nacional de Costa Rica , Heredia, Costa Rica

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  4. Juan de Dios Murillo

    1. Universidad Nacional de Costa Rica , Heredia, Costa Rica

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10022)

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

Included in the following conference series:

Conference proceedings info: IBERAMIA 2016.

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Table of contents (34 papers)

  1. Machine Learning

    1. Front Matter

      Pages 187-187
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    2. Detection of Fraud Symptoms in the Retail Industry

      • Rita P. Ribeiro, Ricardo Oliveira, João Gama
      Pages 189-200

    3. A Machine Learning Model for Occupancy Rates and Demand Forecasting in the Hospitality Industry

      • William Caicedo-Torres, Fabián Payares
      Pages 201-211

    4. A Machine Learning Model for Triage in Lean Pediatric Emergency Departments

      • William Caicedo-Torres, Gisela García, Hernando Pinzón
      Pages 212-221

    5. An Empirical Validation of Learning Schemes Using an Automated Genetic Defect Prediction Framework

      • Juan Murillo-Morera, Carlos Castro-Herrera, Javier Arroyo, Rubén Fuentes-Fernández
      Pages 222-234

    6. Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography

      • Tales L. Fonseca, Leonardo Goliatt, Luciana C. D. Campos, Flávia S. Bastos, Luis Paulo S. Barra, Rodrigo W. dos Santos
      Pages 235-246

    7. Machine Learning Models for Early Dengue Severity Prediction

      • William Caicedo-Torres, Ángel Paternina, Hernando Pinzón
      Pages 247-258

    8. Early Prediction of Severe Maternal Morbidity Using Machine Learning Techniques

      • Eugenia Arrieta Rodríguez, Francisco Edna Estrada, William Caicedo Torres, Juan Carlos Martínez Santos
      Pages 259-270

  2. Big Data, Knowledge Discovery and Data Mining

    1. Front Matter

      Pages 271-271
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    2. Collaborative Filtering with Semantic Neighbour Discovery

      • Bruno Veloso, Benedita Malheiro, Juan C. Burguillo
      Pages 273-284

    3. Distributed and Parallel Algorithm for Computing Betweenness Centrality

      • Mirlayne Campuzano-Alvarez, Adrian Fonseca-Bruzón
      Pages 285-296

    4. Principal Curves and Surfaces to Interval Valued Variables

      • Jorge Arce G., Oldemar Rodríguez R.
      Pages 297-309

    5. In Defense of Online Kmeans for Prototype Generation and Instance Reduction

      • Mauricio García-Limón, Hugo Jair Escalante, Alicia Morales-Reyes
      Pages 310-322

  3. Computer Vision and Pattern Recognition

    1. Front Matter

      Pages 323-323
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    2. In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception

      • Michal Kawulok, Jakub Nalepa, Karolina Nurzynska, Bogdan Smolka
      Pages 325-337

    3. Sign Languague Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language

      • Franco Ronchetti, Facundo Quiroga, César Estrebou, Laura Lanzarini, Alejandro Rosete
      Pages 338-349

  4. Computational Intelligence Soft Computing

    1. Front Matter

      Pages 351-351
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    2. Automatic Generation of Type-1 and Interval Type-2 Membership Functions for Prediction of Time Series Data

      • Andréia Alves dos Santos Schwaab, Silvia Modesto Nassar, Paulo José de Freitas Filho
      Pages 353-364

    3. Calibration of Microscopic Traffic Flow Simulation Models Using a Memetic Algorithm with Solis and Wets Local Search Chaining (MA-SW-Chains)

      • Carlos Cobos, Carlos Daza, Cristhian Martínez, Martha Mendoza, Carlos Gaviria, Cristian Arteaga et al.
      Pages 365-375

    4. A New Strategy Based on Feature Selection for Fault Classification in Transmission Lines

      • Márcia Homci, Paulo Chagas, Brunelli Miranda, Jean Freire, Raimundo Viégas Jr., Yomara Pires et al.
      Pages 376-387
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About this book

This book constitutes the refereed proceedings of the 15 Ibero-American Conference on Artificial Intelligence, IBERAMIA 2016, held in San José, Costa Rica, in November 2016. The 34 papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: knowledge engineering, knowledge representation and probabilistic reasoning; agent technology and multi-agent systems; planning and scheduling; natural language processing; machine learning; big data, knowledge discovery and data mining; computer vision and pattern recognition; computational intelligence soft computing; AI in education, affective computing, and human-computer interaction. 

Editors and Affiliations

  • INAOE , Tonantzintla, Mexico

    Manuel Montes y Gómez

  • Astrofisica Optica y Electronica, INAOE , Puebla, Mexico

    Hugo Jair Escalante

  • Universidad Nacional de Costa Rica , Heredia, Costa Rica

    Alberto Segura, Juan de Dios Murillo

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