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Applied Informatics

Fourth International Conference, ICAI 2021, Buenos Aires, Argentina, October 28–30, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Hector Florez

    1. Universidad Distrital Francisco Jose de Caldas, Bogotá, Colombia

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    You can also search for this editor in PubMed   Google Scholar

  2. Ma Florencia Pollo-Cattaneo

    1. Universidad Tecnológica Nacional Facultad Regional Buenos Aires, Buenos Aires, Argentina

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1455)

Included in the following conference series:

Conference proceedings info: ICAI 2021.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xv
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  2. Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. A Chatterbot Based on Genetic Algorithm: Preliminary Results

      • Cristian Orellana, Martín Tobar, Jeremy Yazán, D. Peluffo-Ordóñez, Lorena Guachi-Guachi
      Pages 3-12

    3. A Supervised Approach to Credit Card Fraud Detection Using an Artificial Neural Network

      • Oluwatobi Noah Akande, Sanjay Misra, Hakeem Babalola Akande, Jonathan Oluranti, Robertas Damasevicius
      Pages 13-25

    4. Machine Learning Classification Based Techniques for Fraud Discovery in Credit Card Datasets

      • Roseline Oluwaseun Ogundokun, Sanjay Misra, Opeyemi Eyitayo Ogundokun, Jonathan Oluranti, Rytis Maskeliunas
      Pages 26-38

    5. Object Detection Based Software System for Automatic Evaluation of Cursogramas Images

      • Pablo Pytel, Matías Almad, Rocío Leguizamón, Cinthia Vegega, Ma Florencia Pollo-Cattaneo
      Pages 39-54

    6. Sign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques

      • D. López-Albán, A. López-Barrera, D. Mayorca-Torres, D. Peluffo-Ordóñez
      Pages 55-67

    7. Solar Radiation Prediction Using Machine Learning Techniques

      • Luis Alejandro Caycedo Villalobos, Richard Alexander Cortázar Forero, Pedro Miguel Cano Perdomo, José John Fredy González Veloza
      Pages 68-81

    8. Towards More Robust GNN Training with Graph Normalization for GraphSAINT

      • Yuying Wang, Qinfen Hao
      Pages 82-93

  3. Data Analysis

    1. Front Matter

      Pages 95-95
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    2. A Complementary Approach in the Analysis of the Human Gut Microbiome Applying Self-organizing Maps and Random Forest

      • Valeria Burgos, Tamara Piñero, María Laura Fernández, Marcelo Risk
      Pages 97-110

    3. An Evaluation of Intrinsic Mode Function Characteristic of Non-Gaussian Autorregresive Processes

      • Fernando Pose, Javier Zelechower, Marcelo Risk, Francisco Redelico
      Pages 111-124

    4. Analysing Documents About Colombian Indigenous Peoples Through Text Mining

      • Jonathan Stivel Piñeros-Enciso, Ixent Galpin
      Pages 125-140

    5. Application of a Continuous Improvement Method for Graphic User Interfaces Through Intelligent Systems for a Language Services Company

      • Osvaldo Germán Fernandez, Pablo Pytel, Ma Florencia Pollo-Cattaneo
      Pages 141-160

    6. Descriptive Analysis Model to Improve the Pension Contributions Collection Process for Colpensiones

      • William M. Bustos C., Cesar O. Diaz
      Pages 161-172

    7. User Response-Based Fake News Detection on Social Media

      • Hailay Kidu, Haile Misgna, Tong Li, Zhen Yang
      Pages 173-187

  4. Decision Systems

    1. Front Matter

      Pages 189-189
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    2. A Multi-objective Mathematical Optimization Model and a Mobile Application for Finding Best Pedestrian Routes Considering SARS-CoV-2 Contagions

      • Juan E. Cantor, Carlos Lozano-Garzón, Germán A. Montoya
      Pages 191-206

    3. An Improved Course Recommendation System Based on Historical Grade Data Using Logistic Regression

      • Idowu Dauda Oladipo, Joseph Bamidele Awotunde, Muyideen AbdulRaheem, Oluwasegun Osemudiame Ige, Ghaniyyat Bolanle Balogun, Adekola Rasheed Tomori et al.
      Pages 207-221

    4. Predictive Academic Performance Model to Support, Prevent and Decrease the University Dropout Rate

      • Diego Bustamante, Olmer Garcia-Bedoya
      Pages 222-236
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About this book

This book constitutes the thoroughly refereed papers of the 4th International Conference on Applied Informatics, ICAI 2021, held in Buenos Aires, Argentina, in October, 2021.The 35 full papers were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on artificial intelligence; data analysis; decision systems; health care information systems; image processing; security services; simulation and emulation; smart cities; software and systems modeling; software design engineering.


Editors and Affiliations

  • Universidad Distrital Francisco Jose de Caldas, Bogotá, Colombia

    Hector Florez

  • Universidad Tecnológica Nacional Facultad Regional Buenos Aires, Buenos Aires, Argentina

    Ma Florencia Pollo-Cattaneo

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