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Hybrid Artificial Intelligent Systems

13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Francisco Javier de Cos Juez

    1. Department of Mine Operating and Prospection, University of Oviedo, Oviedo, Spain

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  2. José Ramón Villar

    1. Department of Computer Science, University of Oviedo, Oviedo, Spain

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  3. Enrique A. de la Cal

    1. Department of Computer Science, University of Oviedo, Oviedo, Spain

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  4. Álvaro Herrero

    1. Department of Civil Engineering, University of Burgos, Burgos, Spain

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  5. Héctor Quintián

    1. University of A Coruña, A Coruña, Spain

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  6. José António Sáez

    1. University of Salamanca, Salamanca, Spain

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  7. Emilio Corchado

    1. University of Salamanca, Salamanca, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10870)

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

Included in the following conference series:

Conference proceedings info: HAIS 2018.

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Table of contents (62 papers)

  1. Front Matter

    Pages I-XIX
    Download chapter PDF

  2. Data Mining, Knowledge Discovery and Big Data

    1. Front Matter

      Pages 1-1
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    2. A Deep Learning-Based Recommendation System to Enable End User Access to Financial Linked Knowledge

      • Luis Omar Colombo-Mendoza, José Antonio García-Díaz, Juan Miguel Gómez-Berbís, Rafael Valencia-García
      Pages 3-14

    3. On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data

      • Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
      Pages 15-26

    4. Hybrid Deep Learning Based on GAN for Classifying BSR Noises from Invehicle Sensors

      • Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho
      Pages 27-38

    5. Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services

      • Diego Sánchez-Moreno, María N. Moreno-García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
      Pages 39-49

    6. Learning Logical Definitions of n-Ary Relations in Graph Databases

      • Furkan Goz, Alev Mutlu
      Pages 50-61

    7. GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection

      • F. J. Martinez-de-Pison, R. Gonzalez-Sendino, J. Ferreiro, E. Fraile, A. Pernia-Espinoza
      Pages 62-73

    8. Improving Adaptive Optics Reconstructions with a Deep Learning Approach

      • Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Enrique Díez Alonso, Jesús Daniel Santos Rodríguez, Maria Luisa Sánchez Rodríguez, Jorge Carballido Landeira et al.
      Pages 74-83

    9. Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks

      • Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
      Pages 84-94

    10. Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms

      • Israel D. Herrera-Granda, Leandro L. Lorente-Leyva, Diego H. Peluffo-Ordóñez, Robert M. Valencia-Chapi, Yakcleem Montero-Santos, Jorge L. Chicaiza-Vaca et al.
      Pages 95-107

    11. Identification of Patterns in Blogosphere Considering Social Positions of Users and Reciprocity of Relations

      • Krzysztof Rudek, Jarosław Koźlak
      Pages 108-119

    12. SmartFD: A Real Big Data Application for Electrical Fraud Detection

      • D. Gutiérrez-Avilés, J. A. Fábregas, J. Tejedor, F. Martínez-Álvarez, A. Troncoso, A. Arcos et al.
      Pages 120-130

    13. Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification

      • José A. Sáez, Héctor Quintián, Bartosz Krawczyk, Michał Woźniak, Emilio Corchado
      Pages 131-142

  3. Bio-inspired Models and Evolutionary Computation

    1. Front Matter

      Pages 143-143
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    2. A Hybrid Genetic-Bootstrapping Approach to Link Resources in the Web of Data

      • Andrea Cimmino, Rafael Corchuelo
      Pages 145-157

    3. Modelling and Forecasting of the \(^{222}Rn\) Radiation Level Time Series at the Canfranc Underground Laboratory

      • Iván Méndez-Jiménez, Miguel Cárdenas-Montes
      Pages 158-170

    4. Sensor Fault Detection and Recovery Methodology for a Geothermal Heat Exchanger

      • Héctor Alaiz-Moretón, José Luis Casteleiro-Roca, Laura Fernández Robles, Esteban Jove, Manuel Castejón-Limas, José Luis Calvo-Rolle
      Pages 171-184

    5. Distinctive Features of Asymmetric Neural Networks with Gabor Filters

      • Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki
      Pages 185-196

    6. Tuning CNN Input Layout for IDS with Genetic Algorithms

      • Roberto Blanco, Juan J. Cilla, Pedro Malagón, Ignacio Penas, José M. Moya
      Pages 197-209
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About this book

This volume constitutes the refereed proceedings of the 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018, held in Oviedo, Spain, in June 2018.
The 62 full papers published in this volume were carefully reviewed and selected from 104  submissions. They are organized in the following topical sections: Neurocomputing, fuzzy systems, rough sets, evolutionary algorithms, Agents andMultiagent Systems, and alike.

Editors and Affiliations

  • Department of Mine Operating and Prospection, University of Oviedo, Oviedo, Spain

    Francisco Javier de Cos Juez

  • Department of Computer Science, University of Oviedo, Oviedo, Spain

    José Ramón Villar, Enrique A. de la Cal

  • Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  • University of A Coruña, A Coruña, Spain

    Héctor Quintián

  • University of Salamanca, Salamanca, Spain

    José António Sáez, Emilio Corchado

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