Artificial Intelligence and Soft Computing

1. Front Matter

   Pages i-xxii

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2. Neural Networks and Their Applications

   1. Front Matter

      Pages 1-1

      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

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.

• artificial intelligence
• classification
• computer vision
• data mining
• estimation
• evolutionary algorithms
• face recognition
• fuzzy logic
• fuzzy sets
• genetic algorithms
• image analysis
• image processing
• learning algorithms
• machine learning
• neural networks
• pattern recognition
• problem solving
• signal processing
• software engineering
• Support Vector Machines (SVM)

• 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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