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Artificial Intelligence and Soft Computing

21st International Conference, ICAISC 2022, Zakopane, Poland, June 19–23, 2022, 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 Science and Technology, 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 13588)

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

Included in the following conference series:

Conference proceedings info: ICAISC 2022.

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About this book

The two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during June 19–23, 2022.

The 69 revised full papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The papers are organized in the following topical sections:


Volume I:



Neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation.


Volume II:


Computer vision, image and speech analysis; data mining; various problems of artificial intelligence; bioinformatics, biometrics and medical applications.


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Table of contents (36 papers)

  1. Front Matter

    Pages i-xviii
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  2. Neural Networks and Their Applications

    1. Front Matter

      Pages 1-1
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    2. A Fast Learning Algorithm for the Multi-layer Neural Network

      • Jarosław Bilski, Bartosz Kowalczyk
      Pages 3-15

    3. A New Computational Approach to the Levenberg-Marquardt Learning Algorithm

      • Jarosław Bilski, Barosz Kowalczyk, Jacek Smola̧g
      Pages 16-26

    4. Training Subjective Perception Biased Images of Vehicle Ambient Lights with Deep Belief Networks Using Backpropagation- and Enforcing-Rules Supervised

      • Gregor Braun, Michel Brokamp, Christina Klüver
      Pages 27-38

    5. An Empirical Study of Adversarial Domain Adaptation on Time Series Data

      • Sarah Hundschell, Manuel Weber, Peter Mandl
      Pages 39-50

    6. Human-AI Collaboration to Increase the Perception of VR

      • Antoni Jaszcz, Katarzyna Prokop, Dawid Połap, Gautam Srivastava, Jerry Chun-Wei Lin
      Pages 51-60

    7. Portfolio Transformer for Attention-Based Asset Allocation

      • Damian Kisiel, Denise Gorse
      Pages 61-71

    8. Transfer Learning with Deep Neural Embeddings for Music Classification Tasks

      • Mateusz Modrzejewski, Piotr Szachewicz, Przemysław Rokita
      Pages 72-81

    9. Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques

      • Marek Pawlicki, Martin Zadnik, Rafał Kozik, Michał Choraś
      Pages 82-92

    10. BiLSTM Deep Learning Model for Heart Problems Detection

      • Jakub Siłka, Michał Wieczorek, Martyna Kobielnik, Marcin Woźniak
      Pages 93-104

    11. Short Texts Representations for Legal Domain Classification

      • Tomasz Zymkowski, Julian Szymański, Andrzej Sobecki, Paweł Drozda, Konrad Szałapak, Kajetan Komar-Komarowski et al.
      Pages 105-114

    12. Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models

      • Hugo Tamoto, Rodrigo Colnago Contreras, Franciso Lledo dos Santos, Monique Simplicio Viana, Rafael dos Santos Gioria, Cleyton de Carvalho Carneiro
      Pages 115-130

    13. ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction

      • Tran Kim Toai, Roman Senkerik, Ivan Zelinka, Adam Ulrich, Vo Thi Xuan Hanh, Vo Minh Huan
      Pages 131-143

    14. Multi-objective Bayesian Optimization for Neural Architecture Search

      • Petra Vidnerová, Jan Kalina
      Pages 144-153

    15. Multilayer Perceptrons with Banach-Like Perceptrons Based on Semi-inner Products – About Approximation Completeness

      • Thomas Villmann, Alexander Engelsberger
      Pages 154-169

  3. Fuzzy Systems and Their Applications

    1. Front Matter

      Pages 171-171
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    2. Similarity Fuzzy Semantic Networks and Inference. An Application to Analysis of Radical Discourse in Twitter

      • Juan Luis Castro, Manuel Francisco
      Pages 173-181

    3. An Application of Information Granules to Detect Anomalies in COVID-19 Reports

      • Adam Kiersztyn, Krystyna Kiersztyn, Rafał Łopucki, Patrycja Jedrzejewska-Rzezak
      Pages 182-192

    4. Type-2 Fuzzy Classifier with Smooth Type-Reduction

      • Katarzyna Nieszporek, Giorgio De Magistris, Christian Napoli, Janusz T. Starczewski
      Pages 193-202
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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 Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  • University of Louisville, Louisville, USA

    Jacek M. Zurada

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