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  • Conference proceedings
  • © 2021

Advances in Computational Intelligence

16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12861)

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

Conference series link(s): IWANN: International Work-Conference on Artificial Neural Networks

Conference proceedings info: IWANN 2021.

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  • ISBN: 978-3-030-85030-2
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Softcover Book USD 109.99
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Table of contents (51 papers)

  1. Front Matter

    Pages i-xxii
  2. Information Fusion in Deep Learning for Biomedicine

    1. Front Matter

      Pages 1-1
    2. Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound

      • Ruxandra Stoean, Dominic Iliescu, Catalin Stoean, Vlad Ilie, Ciprian Patru, Mircea Hotoleanu et al.
      Pages 3-14
    3. Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers

      • Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
      Pages 24-35
    4. Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images

      • Willard Zamora-Cárdenas, Mauro Mendez, Saul Calderon-Ramirez, Martin Vargas, Gerardo Monge, Steve Quiros et al.
      Pages 36-46
  3. Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19)

    1. Front Matter

      Pages 47-47
    2. A Bayesian Classifier Combination Methodology for Early Detection of Endotracheal Obstruction of COVID-19 Patients in ICU

      • Francisco J. Suárez-Díaz, Juan L. Navarro-Mesa, Antonio G. Ravelo-García, Pablo Fernández-López, Carmen Paz Suárez-Araujo, Guillermo Pérez-Acosta et al.
      Pages 49-60
    3. Toward an Intelligent Computing Solution for Endotracheal Obstruction Prediction in COVID-19 Patients in ICU

      • Pablo Fernández-López, Carmen Paz Suárez-Araujo, Patricio García-Báez, Francisco Suárez-Díaz, Juan L. Navarro-Mesa, Guillermo Pérez-Acosta et al.
      Pages 61-73
  4. Advanced Topics in Computational Intelligence

    1. Front Matter

      Pages 75-75
    2. Features Spaces with Reduced Variables Based on Nearest Neighbor Relations and Their Inheritances

      • Naohiro Ishii, Kazunori Iwata, Naoto Mukai, Kazuya Odagiri, Tokuro Matsuo
      Pages 77-88
    3. High-Dimensional Data Clustering with Fuzzy C-Means: Problem, Reason, and Solution

      • Yinghua Shen, Hanyu E, Tianhua Chen, Zhi Xiao, Bingsheng Liu, Yuan Chen
      Pages 89-100
    4. Contrastive Explanations for Explaining Model Adaptations

      • André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
      Pages 101-112
    5. Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?

      • Laura Morán-Fernández, Verónica Bolón-Canedo
      Pages 113-125
    6. Classification in Non-stationary Environments Using Coresets over Sliding Windows

      • Moritz Heusinger, Frank-Michael Schleif
      Pages 126-137
    7. On the Use of Fuzzy Metrics for Robust Model Estimation: A RANSAC-Based Approach

      • Alberto Ortiz, Esaú Ortiz, Juan José Miñana, Óscar Valero
      Pages 165-177
    8. A New Detector Based on Alpha Integration Decision Fusion

      • Addisson Salazar, Gonzalo Safont, Nancy Vargas, Luis Vergara
      Pages 178-189

Other Volumes

  1. Advances in Computational Intelligence

    16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I
  2. Advances in Computational Intelligence

    16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II

About this book

This two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed proceedings of the 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, held virtually, in June 2021.

The 85 full papers presented in this two-volume set were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on Deep Learning for Biomedicine, Intelligent Computing Solutions for SARS-CoV-2 Covid-19, Advanced Topics in Computational Intelligence, Biosignals Processing, Neuro-Engineering and much more.

Keywords

  • artificial intelligence
  • classification methods
  • computer networks
  • computer science
  • computer systems
  • computer vision
  • databases
  • deep learning
  • education
  • engineering
  • image analysis
  • image processing
  • image segmentation
  • internet
  • learning
  • machine learning
  • mathematics
  • neural networks
  • pattern recognition
  • signal processing

Editors and Affiliations

  • University of Granada, Granada, Spain

    Ignacio Rojas

  • University of Málaga, Málaga, Spain

    Gonzalo Joya

  • Technical University of Catalonia, Barcelona, Spain

    Andreu Català

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-85030-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 109.99
Price excludes VAT (USA)