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  • Conference proceedings
  • © 2018

Hybrid Artificial Intelligent Systems

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

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)

Conference series link(s): HAIS: International Conference on Hybrid Artificial Intelligence Systems

Conference proceedings info: HAIS 2018.

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Table of contents (62 papers)

  1. Bio-inspired Models and Evolutionary Computation

    1. Improving the Accuracy of Prediction Applications by Efficient Tuning of Gradient Descent Using Genetic Algorithms

      • Arturo Duran-Dominguez, Juan A. Gomez-Pulido, David Rodriguez-Lozano
      Pages 210-221

    2. Mono-modal Medical Image Registration with Coral Reef Optimization

      • E. Bermejo, M. Chica, S. Damas, S. Salcedo-Sanz, O. Cordón
      Pages 222-234

  2. Learning Algorithms

    1. Front Matter

      Pages 249-249
      PDF

    2. Generalized Probability Distribution Mixture Model for Clustering

      • David Crespo-Roces, Iván Méndez-Jiménez, Sancho Salcedo-Sanz, Miguel Cárdenas-Montes
      Pages 251-263

    3. A Hybrid Approach to Mining Conditions

      • Fernando O. Gallego, Rafael Corchuelo
      Pages 264-276

    4. A First Attempt on Monotonic Training Set Selection

      • J.-R. Cano, S. García
      Pages 277-288

    5. Dealing with Missing Data and Uncertainty in the Context of Data Mining

      • Aliya Aleryani, Wenjia Wang, Beatriz De La Iglesia
      Pages 289-301

    6. A Preliminary Study of Diversity in Extreme Learning Machines Ensembles

      • Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco Fernández-Navarro
      Pages 302-314

    7. Orthogonal Learning Firefly Algorithm

      • Kadavy Tomas, Pluhacek Michal, Viktorin Adam, Senkerik Roman
      Pages 315-326

    8. Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance

      • Andrés Felipe Giraldo-Forero, Andrés Felipe Cardona-Escobar, Andrés Eduardo Castro-Ospina
      Pages 327-337

    9. Drifted Data Stream Clustering Based on ClusTree Algorithm

      • Jakub Zgraja, Michał Woźniak
      Pages 338-349

    10. Featuring the Attributes in Supervised Machine Learning

      • Antonio J. Tallón-Ballesteros, Luís Correia, Bing Xue
      Pages 350-362

    11. Applying VorEAl for IoT Intrusion Detection

      • Nayat Sanchez-Pi, Luis Martí, José M. Molina
      Pages 363-374

  3. Visual Analysis and Advanced Data Processing Techniques

    1. Front Matter

      Pages 375-375
      PDF

    2. Evaluation of a Wrist-Based Wearable Fall Detection Method

      • Samad Barri Khojasteh, José R. Villar, Enrique de la Cal, Víctor M. González, Javier Sedano, Harun Reşit Yazg̈an
      Pages 377-386

    3. EnerVMAS: Virtual Agent Organizations to Optimize Energy Consumption Using Intelligent Temperature Calibration

      • Alfonso González-Briones, Javier Prieto, Juan M. Corchado, Yves Demazeau
      Pages 387-398

    4. Tool Wear Estimation and Visualization Using Image Sensors in Micro Milling Manufacturing

      • Laura Fernández-Robles, Noelia Charro, Lidia Sánchez-González, Hilde Pérez, Manuel Castejón-Limas, Javier Alfonso-Cendón
      Pages 399-410

    5. Compensating Atmospheric Turbulence with Convolutional Neural Networks for Defocused Pupil Image Wave-Front Sensors

      • Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Enrique Díez Alonso, Jesús Daniel Santos Rodríguez, Laura Bonavera, Juan José Fernández Valdivia et al.
      Pages 411-421

    6. Using Nonlinear Quantile Regression for the Estimation of Software Cost

      • J. De Andrés, M. Landajo, P. Lorca
      Pages 422-432
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Other Volumes

  1. Hybrid Artificial Intelligent Systems

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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.
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Keywords

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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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Bibliographic Information

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Policies and ethics

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Access via your institution

Buy it now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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