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Artificial Intelligence and Soft Computing

18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part I

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Leszek Rutkowski

    1. Częstochowa University of Technology, Częstochowa, 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 11508)

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

Included in the following conference series:

Conference proceedings info: ICAISC 2019.

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Table of contents (61 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Neural Networks and Their Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks

      • Tahani Alkhudaydi, Ji Zhou, Beatriz De La lglesia
      Pages 3-13

    3. Modifications of the Givens Training Algorithm for Artificial Neural Networks

      • Jarosław Bilski, Bartosz Kowalczyk, Andrzej Cader
      Pages 14-28

    4. Deep Neural Networks Applied to the Dynamic Helper System in a GPGPU

      • João Pedro Augusto Costa, Omar Andres Carmona Cortes, Valério Breno Santos Nunes de Oliveira, Ada Cristina França da Silva
      Pages 29-38

    5. Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish

      • Sławomir Dadas
      Pages 39-50

    6. Sensitivity Analysis of the Neural Networks Randomized Learning

      • Grzegorz Dudek
      Pages 51-61

    7. On Approximating Metric Nearness Through Deep Learning

      • Magzhan Gabidolla, Alisher Iskakov, M. Fatih Demirci, Adnan Yazici
      Pages 62-72

    8. Smart Well Data Generation via Boundary-Seeking Deep Convolutional Generative Adversarial Networks

      • Allan Gurwicz, Smith Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco
      Pages 73-84

    9. Resilient Environmental Monitoring Utilizing a Machine Learning Approach

      • Dan Häberlein, Lars Kafurke, Sebastian Höfer, Bogdan Franczyk, Bernhard Jung, Erik Berger
      Pages 85-93

    10. Study of Learning Ability in Profit Sharing Using Convolutional Neural Network

      • Kazuki Hashiba, Yuko Osana
      Pages 94-101

    11. Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System

      • Mateusz Heesch, Ziemowit Dworakowski
      Pages 102-112

    12. Robust Training of Radial Basis Function Neural Networks

      • Jan Kalina, Petra Vidnerová
      Pages 113-124

    13. Sequential Data Mining of Network Traffic in URL Logs

      • Marcin Korytkowski, Jakub Nowak, Robert Nowicki, Kamila Milkowska, Magdalena Scherer, Piotr Goetzen
      Pages 125-130

    14. On Learning and Convergence of RBF Networks in Regression Estimation and Classification

      • Adam Krzyżak, Marian Partyka
      Pages 131-142

    15. Application of Deep Neural Networks to Music Composition Based on MIDI Datasets and Graphical Representation

      • Mateusz Modrzejewski, Mateusz Dorobek, Przemysław Rokita
      Pages 143-152

    16. Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion

      • Hafiz Tayyab Mustafa, Fanghui Liu, Jie Yang, Zubair Khan, Qiao Huang
      Pages 153-163

    17. Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection

      • Patryk Najgebauer, Rafał Grycuk, Leszek Rutkowski, Rafał Scherer, Agnieszka Siwocha
      Pages 164-171

    18. Application of Spiking Neural Networks to Fashion Classification

      • Piotr Opiełka, Janusz T. Starczewski, Michał Wróbel, Katarzyna Nieszporek, Alina Marchlewska
      Pages 172-180

    19. Text Language Identification Using Attention-Based Recurrent Neural Networks

      • Michał Perełkiewicz, Rafał Poświata
      Pages 181-190
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Other volumes

  1. Artificial Intelligence and Soft Computing

  2. Artificial Intelligence and Soft Computing

Keywords

About this book

The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019.

The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation.
The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; various problems of artificial intelligence; agent systems, robotics and control.

Editors and Affiliations

  • Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski, 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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