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Artificial Intelligence and Soft Computing

22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Leszek Rutkowski

    1. Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland

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  2. Rafał Scherer

    1. Częstochowa University of Technology, Częstochowa, Poland

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  3. Marcin Korytkowski

    1. Częstochowa University of Technology, Częstochowa, Poland

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  4. Witold Pedrycz

    1. University of Alberta, Edmonton, Canada

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  5. Ryszard Tadeusiewicz

    1. AGH University of Krakow, Kraków, Poland

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  6. Jacek M. Zurada

    1. University of Louisville, Louisville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14125)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICAISC 2023.

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About this book

The two-volume set LNAI 14125  and 14126 constitutes the refereed conference proceedings of the 22nd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2023, held in Zakopane, Poland, during June 18–22, 2023.

The 84 revised full papers presented in these proceedings were carefully reviewed and selected from 175 submissions.

The papers are organized in the following topical sections:

Part I:  Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; and Artificial Intelligence in Modeling and Simulation.

Part II: Computer Vision, Image and Speech Analysis; Various Problems of Artificial Intelligence; Bioinformatics, Biometrics and Medical Applications; and Data Mining and Pateern Classification.

 

Keywords

Table of contents (48 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Neural Networks and Their Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Novel Approach to the GQR Algorithm for Neural Networks Training

      • Jarosław Bilski, Bartosz Kowalczyk
      Pages 3-11

    3. On Speeding up the Levenberg-Marquardt Learning Algorithm

      • Jarosław Bilski, Barosz Kowalczyk, Jacek Smola̧g
      Pages 12-22

    4. Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes

      • Eric Chalmers, Artur Luczak
      Pages 23-34

    5. Multi-Agent Deep Q-Network in Voxel-Based Automated Electrical Routing

      • Tizian Dagner, Rafael Parzeller, Selin Kesler
      Pages 35-45

    6. The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach

      • Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
      Pages 46-55

    7. Training Neural Tensor Networks with Corrupted Relations

      • Tristan Falck, Duncan Coulter
      Pages 56-67

    8. Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Card Game

      • Łukasz Gałka, Paweł Karczmarek, Dariusz Czerwinski
      Pages 68-77

    9. Learning Representations by Crystallized Back-Propagating Errors

      • Marcus Grum
      Pages 78-100

    10. Fuzzy Hyperplane Based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem

      • Pei-Yi Hao
      Pages 101-111

    11. Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly

      • Bogdan Kwolek, Sako Shinji
      Pages 112-121

    12. Transfer of Knowledge Among Instruments in Automatic Music Transcription

      • Michał Leś, Michał Woźniak
      Pages 122-133

    13. The Geometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers

      • M. Mohannazadeh Bakhtiari, A. Villmann, T. Villmann
      Pages 134-144

    14. An Interpretable Two-Layered Neural Network Structure–Based on Component-Wise Reasoning

      • M. Mohannazadeh Bakhtiari, T. Villmann
      Pages 145-156

    15. Viscosity Estimation of Water-PVP Solutions from Droplets Using Artificial Neural Networks and Image Processing

      • Mohamed Azouz Mrad, Kristof Csorba, Dorián László Galata, Zsombor Kristóf Nagy, Hassan Charaf
      Pages 157-166

    16. Pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization

      • Bogdan Muşat, Răzvan Andonie
      Pages 167-180

    17. Unsupervised Representation Learning: Target Regularization for Cross-Domain Sentiment Classification

      • Michał Perełkiewicz, Rafał Poświata, Jakub Kierzkowski
      Pages 181-192

    18. Decentralized Federated Learning Loop with Constrained Trust Mechanism

      • Dawid Połap, Katarzyna Prokop, Gautam Srivastava, Jerry Chun-Wei Lin
      Pages 193-202

    19. Learning Activation Functions for Adversarial Attack Resilience in CNNs

      • Maghsood Salimi, Mohammad Loni, Marjan Sirjani
      Pages 203-214
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Other volumes

  1. Artificial Intelligence and Soft Computing

  2. Artificial Intelligence and Soft Computing

Editors and Affiliations

  • Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland

    Leszek Rutkowski

  • Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer, Marcin Korytkowski

  • University of Alberta, Edmonton, Canada

    Witold Pedrycz

  • AGH University of Krakow, Kraków, Poland

    Ryszard Tadeusiewicz

  • University of Louisville, Louisville, USA

    Jacek M. Zurada

Bibliographic Information

  • Book Title: Artificial Intelligence and Soft Computing

  • Book Subtitle: 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part I

  • Editors: Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-42505-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-42504-2Published: 14 September 2023

  • eBook ISBN: 978-3-031-42505-9Published: 13 September 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XX, 592

  • Number of Illustrations: 25 b/w illustrations, 136 illustrations in colour

  • Topics: Artificial Intelligence

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