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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)

Included in the following conference series:

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. Front Matter

    Pages i-xxx
    Download chapter PDF

  2. Machine Learning in Weather Observation and Forecasting

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Deeper Look into ‘Deep Learning of Aftershock Patterns Following Large Earthquakes’: Illustrating First Principles in Neural Network Physical Interpretability

      • Arnaud Mignan, Marco Broccardo
      Pages 3-14

    3. Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting

      • Hua-Liang Wei
      Pages 15-26

    4. An Approach to Rain Detection Using Sobel Image Pre-processing and Convolutional Neuronal Networks

      • José A. Godoy-Rosario, Antonio G. Ravelo-García, Pedro J. Quintana-Morales, Juan L. Navarro-Mesa
      Pages 27-38

    5. On the Application of a Recurrent Neural Network for Rainfall Quantification Based on the Received Signal from Microwave Links

      • Ivan Guerra-Moreno, Juan L. Navarro-Mesa, Antonio G. Ravelo-García, Carmen Paz Suarez-Araujo
      Pages 39-51

    6. Ambient Temperature Estimation Using WSN Links and Gaussian Process Regression

      • Sofia I. Inácio, Joaquim A. R. Azevedo
      Pages 52-62

  3. Computational Intelligence Methods for Time Series

    1. Front Matter

      Pages 63-63
      Download chapter PDF

    2. Voice Command Recognition Using Statistical Signal Processing and SVM

      • Aleksandra Osowska, Stanislaw Osowski
      Pages 65-73

    3. Enterprise System Response Time Prediction Using Non-stationary Function Approximations

      • K. Ravikumar, Kriti Kumar, Naveen Thokala, M. Girish Chandra
      Pages 74-87

    4. Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution

      • Sander van Cranenburgh, Marco Kouwenhoven
      Pages 88-102

    5. Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis

      • Hua-Liang Wei
      Pages 103-114

    6. Use of Complex Networks for the Automatic Detection and the Diagnosis of Alzheimer’s Disease

      • Aruane Mello Pineda, Fernando M. Ramos, Luiz Eduardo Betting, Andriana S. L. O. Campanharo
      Pages 115-126

    7. The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs

      • Carlos A. Loza, Jose C. Principe
      Pages 127-138

    8. DeepTrace: A Generic Framework for Time Series Forecasting

      • Nithish B. Moudhgalya, Siddharth Divi, V. Adithya Ganesan, S. Sharan Sundar, Vineeth Vijayaraghavan
      Pages 139-151

    9. Automatic Identification of Interictal Epileptiform Discharges with the Use of Complex Networks

      • Gustavo H. Tomanik, Luiz E. Betting, Andriana S. L. O. Campanharo
      Pages 152-161

    10. Anomaly Detection for Bivariate Signals

      • Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
      Pages 162-173

    11. A Scalable Long-Horizon Forecasting of Building Electricity Consumption

      • Naveen Kumar Thokala, S. Spoorthy, M. Girish Chandra
      Pages 174-185

    12. Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection

      • Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar
      Pages 186-197

    13. Automatic Time Series Forecasting with GRNN: A Comparison with Other Models

      • Francisco Martínez, Francisco Charte, Antonio J. Rivera, María P. Frías
      Pages 198-209
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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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