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Advances in Computational Intelligence

17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ignacio Rojas

    1. University of Granada, Granada, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Gonzalo Joya

    1. University of Malaga, Málaga, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Andreu Catala

    1. Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14135)

Included in the following conference series:

Conference proceedings info: IWANN 2023.

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Table of contents (53 papers)

  1. Front Matter

    Pages i-xxiv
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  2. Deep Learning and Applications

    1. Front Matter

      Pages 1-1
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    2. Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning

      • J. F. Torres, S. Valencia, F. Martínez-Álvarez, N. Hoyos
      Pages 3-14

    3. Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning

      • M. J. Jiménez-Navarro, M. Martínez-Ballesteros, F. Martínez-Álvarez, G. Asencio-Cortés
      Pages 15-26

    4. CauSim: A Causal Learning Framework for Fine-Grained Image Similarity

      • Hichem Debbi
      Pages 27-38

    5. NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images

      • David de la Rosa, Antón Álvarez, Ramón Pérez, Germán Garrote, Antonio J. Rivera, María J. del Jesus et al.
      Pages 39-51

    6. Efficient Transformer for Video Summarization

      • Tatiana Kolmakova, Ilya Makarov
      Pages 52-65

    7. Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms

      • Paulina Leszczełowska, Maria Bollin, Karol Lempkowski, Mateusz Żak, Jacek Rumiński
      Pages 66-78

    8. On-Line Authenticity Verification of a Biometric Signature Using Dynamic Time Warping Method and Neural Networks

      • Krzysztof Walentukiewicz, Albert Masiak, Aleksandra Gałka, Justyna Jelińska, Michał Lech
      Pages 79-90

    9. SlideGCN: Slightly Deep Graph Convolutional Network for Multilingual Sentiment Analysis

      • El Mahdi Mercha, Houda Benbrahim, Mohammed Erradi
      Pages 91-103

    10. Toward Machine’s Artificial Aesthetic Perception: Could Machines Appreciate the Beauty?

      • Mohand Tahar Soualah, Fatemeh Saveh, Kurosh Madani
      Pages 104-117

    11. Detection and Visualization of User Facial Expressions

      • Martyna Wojnar, Tomasz Grzejszczak, Natalia Bartosiak
      Pages 118-129

    12. Offline Substitution Machine Learning Model for the Prediction of Fitness of GA-ARM

      • Leila Hamdad, Cylia Laoufi, Rima Amirat, Karima Benatchba, Souhila Sadeg
      Pages 130-142

  3. Deep Learning Applied to Computer Vision and Robotics

    1. Front Matter

      Pages 143-143
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    2. Phenotype Discrimination Based on Pressure Signals by Transfer Learning Approaches

      • Marina Aguilar-Moreno, Manuel Graña
      Pages 145-156

    3. AATiENDe: Automatic ATtention Evaluation on a Non-invasive Device

      • Felix Escalona, Francisco Gomez-Donoso, Francisco Morillas-Espejo, Monica Pina-Navarro, Luis Marquez-Carpintero, Miguel Cazorla
      Pages 157-168

    4. Effective Black Box Adversarial Attack with Handcrafted Kernels

      • Petr Dvořáček, Petr Hurtik, Petra Števuliáková
      Pages 169-180

    5. Implementation of a Neural Network for the Recognition of Emotional States by Social Robots, Using ‘OhBot’

      • Natalia Bartosiak, Adam Gałuszka, Martyna Wojnar
      Pages 181-193

    6. Towards a Voxelized Semantic Representation of the Workspace of Mobile Robots

      • Antonio-Jesus Perez-Bazuelo, Jose-Raul Ruiz-Sarmiento, Gregorio Ambrosio-Cestero, Javier Gonzalez-Jimenez
      Pages 194-205

    7. Intersection over Union with Smoothing for Bounding Box Regression

      • Petra Števuliáková, Petr Hurtik
      Pages 206-216
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Other volumes

  1. Advances in Computational Intelligence

  2. Advances in Computational Intelligence

Keywords

About this book

This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023.

The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions.

The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis.

The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.


Editors and Affiliations

  • University of Granada, Granada, Spain

    Ignacio Rojas

  • University of Malaga, Málaga, Spain

    Gonzalo Joya

  • Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain

    Andreu Catala

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