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Artificial Intelligence and Soft Computing

21st International Conference, ICAISC 2022, Zakopane, Poland, June 19–23, 2022, Proceedings, Part II

  • Conference proceedings
  • © 2023

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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 13589)

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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Keywords

Table of contents (33 papers)

  1. Front Matter

    Pages i-xviii
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  2. Computer Vision, Image and Speech Analysis

    1. Front Matter

      Pages 1-1
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    2. Unsupervised Pose Estimation by Means of an Innovative Vision Transformer

      • Nicolo’ Brandizzi, Andrea Fanti, Roberto Gallotta, Samuele Russo, Luca Iocchi, Daniele Nardi et al.
      Pages 3-20

    3. CamCarv - Expose the Source Camera at the Rear of Seam Insertion

      • Muhammad Irshad, Ngai Fong Law, Ka Hong Loo
      Pages 21-34

    4. Text Line Segmentation in Historical Newspapers

      • Ladislav Lenc, Jiří Martínek, Pavel Král
      Pages 35-48

    5. Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images

      • Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu
      Pages 49-58

    6. RGB-D SLAM with Deep Depth Completion

      • Ali Osman Serhatoglu, Oguzhan Guclu, Ahmet Burak Can
      Pages 59-67

    7. Semantically Consistent Sim-to-Real Image Translation with Neural Networks

      • Solt Skribanek, Márton Szemenyei, Róbert Moni
      Pages 68-79

    8. Hand Gesture Recognition for Medical Purposes Using CNN

      • Jakub Sosnowski, Piotr Pluta, Patryk Najgebauer
      Pages 80-88

  3. Data Mining

    1. Front Matter

      Pages 89-89
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    2. A Streaming Approach to the Core Vector Machine

      • Moritz Heusinger, Frank-Michael Schleif
      Pages 91-101

    3. Identifying Cannabis Use Risk Through Social Media Based on Deep Learning Methods

      • Doaa Ibrahim, Diana Inkpen, Hussein Al Osman
      Pages 102-113

    4. On a Combination of Clustering Methods and Isolation Forest

      • Michał Koziara, Paweł Karczmarek
      Pages 114-126

    5. K-Medoids-Surv: A Patients Risk Stratification Algorithm Considering Censored Data

      • George Marinos, Chrysostomos Symvoulidis, Dimosthenis Kyriazis
      Pages 127-140

    6. A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysis

      • Caio Raduy, Denise M. V. Sato, Eduardo A. Franciscon, Edson E. Scalabrin
      Pages 141-151

    7. Improving Solar Flare Prediction by Time Series Outlier Detection

      • Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk
      Pages 152-164

  4. Various Problems of Artificial Intelligence

    1. Front Matter

      Pages 165-165
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    2. Tourism Stock Prices, Systemic Risk and Tourism Growth: A Kalman Filter with Prior Update DSGE-VAR Model

      • David Alaminos, M. Belén Salas
      Pages 167-181

    3. An Expert System to Detect and Classify CNS Disorders Based on Eye Test Data Using SVM and Nature-Inspired Algorithms

      • U. S. Samarasinghe, M. K. A. Ariyaratne
      Pages 182-194

    4. Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networks

      • Cristiano N. de O. Bassani, Prisicla T. M. Saito, Pedro H. Bugatti
      Pages 195-205
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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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