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Advances in Computational Intelligence

15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Ignacio Rojas

    1. University of Granada, Granada, Spain

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  2. Gonzalo Joya

    1. University of Malaga, Malaga, Spain

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  3. Andreu Catala

    1. Polytechnic University of Catalonia, Barcelona, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11506)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Conference proceedings info: IWANN 2019.

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About this book

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019.
The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control,and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.

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Table of contents (75 papers)

  1. New and Future Tendencies in Brain-Computer Interface Systems

    1. Word Prediction Support Model for SSVEP-Based BCI Web Speller

      • Abdul Saboor, Mihaly Benda, Felix Gembler, Ivan Volosyak
      Pages 430-441

    2. Is Stress State an Important Factor in the BCI-P300 Speller Performance?

      • Liliana Garcia, Maud Zak, Celestin Grenier, Solene Hanrio, Dorine Henry, Romain Randriamanantena et al.
      Pages 442-454

  2. Random-Weights Neural Networks

    1. Front Matter

      Pages 455-455
      Download chapter PDF

    2. Echo State Networks with Artificial Astrocytes and Hebbian Connections

      • Peter Gergel’, Igor Farkaš
      Pages 457-466

    3. Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure

      • Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Greguš ml.
      Pages 467-479

    4. Richness of Deep Echo State Network Dynamics

      • Claudio Gallicchio, Alessio Micheli
      Pages 480-491

    5. Image Classification and Retrieval with Random Depthwise Signed Convolutional Neural Networks

      • Yunzhe Xue, Usman Roshan
      Pages 492-506

    6. Exploring Classification, Clustering, and Its Limits in a Compressed Hidden Space of a Single Layer Neural Network with Random Weights

      • Meiyan Xie, Usman Roshan
      Pages 507-516

    7. Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters

      • Grzegorz Dudek
      Pages 517-530

  3. Pattern Recognition

    1. Front Matter

      Pages 531-531
      Download chapter PDF

    2. Detector of Small Objects with Application to the License Plate Symbols

      • Alexey Alexeev, Yuriy Matveev, Anton Matveev, Georgy Kukharev, Sattam Almatarneh
      Pages 533-544

    3. Failure Diagnosis of Wind Turbine Bearing Using Feature Extraction and a Neuro-Fuzzy Inference System (ANFIS)

      • Mojtaba Kordestani, Milad Rezamand, Rupp Carriveau, David S. K. Ting, Mehrdad Saif
      Pages 545-556

    4. OnMLM: An Online Formulation for the Minimal Learning Machine

      • Alan L. S. Matias, César L. C. Mattos, Tommi Kärkkäinen, João P. P. Gomes, Ajalmar R. da Rocha Neto
      Pages 557-568

    5. Adversarial Examples are a Manifestation of the Fitting-Generalization Trade-off

      • Oscar Deniz, Noelia Vallez, Gloria Bueno
      Pages 569-580

  4. Deep Learning and Natural Language Processing

    1. Front Matter

      Pages 581-581
      Download chapter PDF

    2. Some Insights and Observations on Depth Issues in Deep Learning Networks

      • Arindam Chaudhuri
      Pages 583-595

    3. Multi-input CNN for Text Classification in Commercial Scenarios

      • Zuzanna Parcheta, Germán Sanchis-Trilles, Francisco Casacuberta, Robin Redahl
      Pages 596-608

    4. Applying Sentiment Analysis with Cross-Domain Models to Evaluate User eXperience in Virtual Learning Environments

      • Rosario Sanchis-Font, Maria Jose Castro-Bleda, José-Ángel González
      Pages 609-620

    5. Document Model with Attention Bidirectional Recurrent Network for Gender Identification

      • Bassem Bsir, Mounir Zrigui
      Pages 621-631

    6. Visual Disambiguation of Prepositional Phrase Attachments: Multimodal Machine Learning for Syntactic Analysis Correction

      • Sebastien Delecraz, Leonor Becerra-Bonache, Alexis Nasr, Frederic Bechet, Benoit Favre
      Pages 632-643
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Other volumes

  1. Advances in Computational Intelligence

  2. Advances in Computational Intelligence

Editors and Affiliations

  • University of Granada, Granada, Spain

    Ignacio Rojas

  • University of Malaga, Malaga, Spain

    Gonzalo Joya

  • Polytechnic University of Catalonia, Barcelona, Spain

    Andreu Catala

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