Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part I

Description

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.

Table of Contents

1. Neural Networks and Their Applications
   1. Front Matter
   2. SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks
   3. Modifications of the Givens Training Algorithm for Artificial Neural Networks
   4. Deep Neural Networks Applied to the Dynamic Helper System in a GPGPU
   5. Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish
   6. Sensitivity Analysis of the Neural Networks Randomized Learning
   7. On Approximating Metric Nearness Through Deep Learning
   8. Smart Well Data Generation via Boundary-Seeking Deep Convolutional Generative Adversarial Networks
   9. Resilient Environmental Monitoring Utilizing a Machine Learning Approach
   10. Study of Learning Ability in Profit Sharing Using Convolutional Neural Network
   11. Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System
   12. Robust Training of Radial Basis Function Neural Networks
   13. Sequential Data Mining of Network Traffic in URL Logs
   14. On Learning and Convergence of RBF Networks in Regression Estimation and Classification
   15. Application of Deep Neural Networks to Music Composition Based on MIDI Datasets and Graphical Representation
   16. Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion
   17. Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
   18. Application of Spiking Neural Networks to Fashion Classification
   19. Text Language Identification Using Attention-Based Recurrent Neural Networks
   20. Filter Pruning for Efficient Transfer Learning in Deep Convolutional Neural Networks
   21. Regularized Learning of Neural Network with Application to Sparse PCA
   22. Trimmed Robust Loss Function for Training Deep Neural Networks with Label Noise
   23. On Proper Designing of Deep Structures for Image Classification
   24. Constructive Cascade Learning Algorithm for Fully Connected Networks
   25. Generative Adversarial Networks: Recent Developments
2. Fuzzy Systems and Their Applications
   1. Front Matter
   2. Fuzzy Modeling in the Task of Control Cartographic Visualization
   3. Method for Generalization of Fuzzy Sets
   4. The 2-Additive Choquet Integral of Bi-capacities
   5. A New Class of Uninorm Aggregation Operations for Fuzzy Theory
   6. Different Forms of Generalized Hypothetical Syllogism with Regard to R-Implications
   7. A Fuzzy-Dynamic Bayesian Network Approach for Inference Filtering
   8. The Estimation of Uncertain Gates: An Application to Educational Indicators
   9. Fuzzy Reasoning in Control and Diagnostics of a Turbine Engine – A Case Study
   10. Application of Type-2 Fuzzy Sets for Analyzing Production Processes
   11. On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques
   12. Different Aggregation Modes Applications Within the Framework of Weights Uncertainty
   13. Fuzzy Clustering High-Dimensional Data Using Information Weighting
3. Evolutionary Algorithms and Their Applications
   1. Solving the Software Project Scheduling Problem with Hyper-heuristics
   2. Influence of Social Coefficient on Swarm Motion
   3. An Evaluative Study of Adaptive Control of Population Size in Differential Evolution
   4. A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm
   5. Evolutionary Algorithms Applied to a Shielding Enclosure Design
   6. Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection
   7. Improving Population Diversity Through Gene Methylation Simulation
   8. Strategizing Game Playing Using Evolutionary Approach
   9. Using the Evolutionary Computation Approach in the Initial Phase of Protocol Discovering
   10. Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes
   11. Analyzing Control Parameters in DISH
   12. Iterative Design and Implementation of Rapid Gradient Descent Method
   13. The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms
4. Pattern Classification
   1. Front Matter
   2. Application of Elastic Principal Component Analysis to Person Recognition Based on Screen Gestures
   3. Sentiment Analysis of YouTube Video Comments Using Deep Neural Networks
   4. Layered Geometric Learning
   5. Fast Algorithm for Prototypes Selection—Trust-Margin Prototypes
   6. Classifying Image Sequences with the Markov Chain Structure and Matrix Normal Distributions
   7. The Elastic k-Nearest Neighbours Classifier for Touch Screen Gestures
   8. Whole Image and Modular Image Face Classification – What is Really Classified?
   9. Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble
5. Artificial Intelligence in Modeling and Simulation
   1. Front Matter
   2. On Sympathy and Symphony: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States
   3. Analysis of Large Scale Power Systems via LASSO Learning Algorithms
   4. Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron
   5. Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods
   6. Back Matter

Editors Biography

Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski
Częstochowa University of Technology, Częstochowa, Poland

Witold Pedrycz
University of Alberta, Edmonton, Canada

Ryszard Tadeusiewicz
AGH University of Science and Technology, Kraków, Poland

Jacek M. Zurada
University of Louisville, Louisville, USA