Artificial Intelligence and Soft Computing: 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19–23, 2022, Proceedings, Part II

Preface
Organization
Contents – Part II
Contents – Part I
Computer Vision, Image and Speech Analysis
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Un-TraPEs Model
		3.2 Dataset Analysis
		3.3 Training Process
	4 Results
		4.1 Baseline Comparison
	5 Conclusions
	References
CamCarv - Expose the Source Camera at the Rear of Seam Insertion
	1 Introduction
	2 Review on Seam Insertion
	3 Proposed Approach
	4 Proposed Approach
		4.1 Proposed Framework for Forensic Investigation
		4.2 Correlation Patterns Study
		4.3 Block Selection
		4.4 Decision Metric Calculation
		4.5 Feature Integration
		4.6 Decision Matrices Calculation
		4.7 Performance Analysis
	5 Conclusion
	References
Text Line Segmentation in Historical Newspapers
	1 Introduction
	2 Related Work
	3 Document Image Segmentation
		3.1 Text-Block Segmentation
		3.2 Separator Segmentation
		3.3 Text-Line Segmentation
	4 Experimental Setup
		4.1 Corpora
		4.2 Evaluation Criteria
	5 Experiments
		5.1 Text-Block Segmentation
		5.2 Text-Line Segmentation
	6 Conclusions and Future Work
	References
Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images
	1 Introduction
	2 Follicles Detection Challenge
	3 Model Description
		3.1 Image Enhancements and Initial Models
		3.2 Convolutional Neural Network Based Detector
	4 Conclusions
	References
RGB-D SLAM with Deep Depth Completion
	1 Introduction
	2 Related Work
	3 Method
		3.1 Monocular SLAM with Depth Estimation
		3.2 Depth Completion in RGB-D SLAM
	4 Experiments
		4.1 Monocular SLAM Experiments
		4.2 Depth Completion Experiments
	5 Conclusion
	References
Semantically Consistent Sim-to-Real Image Translation with Neural Networks
	1 Introduction
	2 Related Work
		2.1 Semantic Segmentation Using Neural Networks
		2.2 Autoencoder
		2.3 GAN
		2.4 Style Transfer and Image-to-Image Translation
	3 Methodology
		3.1 Inner Semantic Loss
		3.2 Outer Semantic Loss
		3.3 Final Objective
	4 Experiments
		4.1 Datasets, Data Preparation
		4.2 Setup
	5 Results
	6 Conclusions
	References
Hand Gesture Recognition for Medical Purposes Using CNN
	1 Introduction
	2 Dataset Design
	3 Convolutional Neural Networks
	4 Experimental Results
	5 Conclusion
	References
Data Mining
A Streaming Approach to the Core Vector Machine
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Minimum Enclosing Ball
		3.2 Coresets over Sliding Windows
		3.3 Core Vector Machine
	4 Adaptive Multiclass Core Vector Machine
		4.1 Maintaining the MEB
		4.2 Adaptive Core Vector Machine
		4.3 Multiclass Extension
	5 Experiments
		5.1 Dataset: Changeover Detection
		5.2 Setup
		5.3 Results
	6 Conclusion
	References
Identifying Cannabis Use Risk Through Social Media Based on Deep Learning Methods
	1 Introduction
	2 Related Work on Cannabis Use Detection
	3 Data
	4 Methodology
		4.1 Preprocessing
		4.2 Word Tokenization
	5 Models
		5.1 Classical Classifiers
		5.2 Deep Learning Classifiers
	6 Experiments and Results
	7 Comparison to Related Work
	8 Conclusion and Future Work
	References
On a Combination of Clustering Methods and Isolation Forest
	1 Introduction
	2 Isolation Forest
	3 Proposed Approach
	4 Experimental Results
		4.1 Datasets and Measure Methods
		4.2 Analysis of Selected Parameters
		4.3 Efficiency Analysis
	5 Conclusions and Future Work
	References
K-Medoids-Surv: A Patients Risk Stratification Algorithm Considering Censored Data
	1 Introduction
	2 Related Work
	3 Survival Analysis Basics
		3.1 Time to Event Analysis
		3.2 Censored Data
	4 Proposed Approach
		4.1 Custom Distance Function
		4.2 Optimal Number of Clusters
		4.3 Clustering Evaluation
	5 Experimental Evaluation
	6 Conclusions
	References
A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysis
	1 Introduction
	2 Related Work
	3 Method
	4 Experiments and Results
		4.1 Influence of Window Size on the Accuracy of the Fixed Approaches
		4.2 Influence of the Initial Window Size on the Accuracy of the Apromore - ProDrift Adaptive
		4.3 Comparing the Accuracy of All Selected Methods
	5 Discussion and Conclusions
	References
Improving Solar Flare Prediction by Time Series Outlier Detection
	1 Introduction
	2 Related Work
	3 SWAN-SF Dataset
	4 Methodology
		4.1 Outlier Detection Algorithm
		4.2 Experiment Design
		4.3 Tackling the Class-Imbalance Issue
		4.4 Evaluation Model and Hyperparameter Tuning
		4.5 Evaluation Metrics
	5 Experiments, Results, and Discussion
		5.1 Experiment A: Impact of Outliers on X-N Classification
		5.2 Experiment B: Impact of Outliers on XM-CBN Classification
	6 Conclusion and Future Work
	References
Various Problems of Artificial Intelligence
Tourism Stock Prices, Systemic Risk and Tourism Growth: A Kalman Filter with Prior Update DSGE-VAR Model
	1 Introduction
	2 Methods
		2.1 Bayesian Kalman Filter with Prior Update
		2.2 DSGE Model
	3 Empirical Results
	4 Conclusions
	References
An Expert System to Detect and Classify CNS Disorders Based on Eye Test Data Using SVM and Nature-Inspired Algorithms
	1 Introduction
	2 Materials and Methods
		2.1 Genetic Algorithms (GA)
		2.2 Particle Swarm Optimization (PSO)
		2.3 Support Vector Machines (SVM)
		2.4 Dataset Used for the Study
	3 Proposed Expert System
	4 Experimentation and Results
		4.1 Synthetic Data Generation
		4.2 Prominent Feature Selection
		4.3 Identification of the CNS Disorders
	5 Conclusions and Future Work
	References
Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networks
	1 Introduction
	2 Background
	3 Proposed Approach
	4 Experiments
		4.1 Datasets' Descriptions
		4.2 Results
	5 Conclusions
	References
Bi-Space Search: Optimizing the Hybridization of Search Spaces in Solving the One Dimensional Bin Packing Problem
	1 Introduction
	2 1BPP and Related Work
	3 Bi-space Search Algorithms
		3.1 Solution Space Search (SSS)
		3.2 Heuristic Space Search (HSS)
		3.3 Bi-space Search (BSS)
	4 Experimental Setup
		4.1 Heuristic Space
	5 Results and Analysis
		5.1 Comparison with Previous Bi-Space Search Approaches
	6 Conclusions and Future Work
	References
Assessing the Sentiment of Book Characteristics Using Machine Learning NLP Models
	1 Introduction
	2 Related Work
	3 Datasets
	4 Experiment Results
		4.1 Impact of Converter
		4.2 Impact of Classification Algorithm
		4.3 Analysis of Soft Features
		4.4 Impact of Aggregation Function
	5 Conclusions and Future Work
	References
Autoencoder Neural Network for Detecting Non-human Web Traffic
	1 Introduction
	2 Similar Solutions
	3 Autoencoder Structure
	4 Proposed Solution
	5 Experimental Work
	6 Summary
	References
Edge Detection-Based Full-Disc Solar Image Hashing
	1 Introduction
	2 Edge Detection-Based Full-Disc Solar Image Hashing
		2.1 Active Region Detection Based on Edge Detection
		2.2 Training and Hash Generation
		2.3 Image Retrieval
	3 Experimental Results
	4 Conclusions
	References
Employee Turnover Prediction From Email Communication Analysis
	1 Introduction
	2 Data and Model
		2.1 Data Coding for Neural Networks
	3 Application of Glial Cells in Data Selection
		3.1 Network Training with Glia Controller
		3.2 Selection of Input Parameters Using the Glial Network
	4 Classification with the Use of Recursive Networks
	5 Conclusions
	References
Buggy Pinball: A Novel Single-point Meta-heuristic for Global Continuous Optimization
	1 Introduction
	2 The Buggy Pinball (BP) Algorithm
	3 Experiments
	4 Results
	5 Conclusions and Future Work
	References
Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks
	1 Introduction
	2 Data
	3 Convolutions Glial Neural Network
	4 Encoding of Input Vectors
	5 Network Optimization and Training with Glial Cells
	6 Conclusions
	References
A New Approach to Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot Using a Rebinning Method
	1 Introduction
	2 Scanner Geometry
	3 Problem of Equi-Angularity in Projections in FFS Technique
	4 Iterative Reconstruction Algorithm
	5 Experimental Results
	6 Conclusion
	References
Algorithm for Solving Optimal Placement of Routers in Mines
	1 Introduction
	2 Proposed Solution
	3 Mathematical Aspects
		3.1 Preface to Methods
		3.2 Method X - DeletePointsWithWifi
		3.3 Method A - IsStraightLine
		3.4 Method B - TwoLines
		3.5 Method C - TwoLinesLX
		3.6 Method D - Ends
		3.7 Method E - CheckLX
		3.8 Proposed Algorithm to Solve Graph Optimization
	4 Experimental Results
		4.1 Solving Graph with 100 Nodes
		4.2 Computational Complexity
	5 Conclusions
	References
An Improved Structure-Based Partial Solution Search for the Examination Timetabling Problem
	1 Introduction
	2 Related Work
	3 Improved Structure-Based Partial Solution Search (SBPSS-I)
	4 Experimental Setup
	5 Results and Discussion
	6 Conclusion
	References
Human Activity Recognition for Online Examination Environment Using CNN
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 CNN Model to Classify Normal and Abnormal Activities of Online Examination
	4 Experimental Setup, Results and Analysis
	5 Conclusion
	References
BIM-Based Approach to House Renovation Projects Assessment
	1 Introduction
	2 IFC Files of Dwelling Houses
	3 Renovation Project Assessment
	4 Conclusion
	References
Machine Learning-Based Conditioning and Drying of Sewage Sludge as Part of the Management of Co-fermentation Processes
	1 Introduction
	2 Sewage Sludge Management
		2.1 Properties of Sewage Sludge
		2.2 Treatment and Management Methods of Sewage Sludge
		2.3 Methods and Technology Used in Selected Sewage Treatment Plants of the Baltic Countries
	3 Preparation and Processing of Sewage Sludge
	4 Drying of Sediments in Laboratory Conditions
	5 Conclusions
	References
An Efficient Algorithm to Find a Maximum Weakly Stable Matching for SPA-ST Problem
	1 Introduction
	2 Preliminaries
	3 Proposed Algorithm
		3.1 HA Algorithm
		3.2 Example
	4 Experimental Results
		4.1 Comparison of Solution Quality
		4.2 Comparison of Execution Time
	5 Conclusions
	References
Author Attribution of Literary Texts in Polish by the Sequence Averaging
	1 Introduction
	2 Methods
		2.1 Text Classification
		2.2 Classification Based on Grammatical Classes
		2.3 Sequence Classification by Averaging
	3 Experiments and Results
		3.1 Data Set
		3.2 Results for Text Classifiers
		3.3 Analysis of BERT Results
	4 Conclusion
	References
Bioinformatics, Biometrics and Medical Applications
Prediction of Protein Molecular Functions Using Transformers
	1 Introduction
	2 Datasets
	3 Methodology
		3.1 Baseline
		3.2 Proposed Classifier
		3.3 Evaluation Metric
	4 Results and Discussion
		4.1 Preprocessed Dataset
		4.2 Original Dataset
	5 Conclusions and Future Work
	References
Dynamic Signature Verification Using Selected Regions
	1 Introduction
		1.1 Motivation
		1.2 Contribution of the Paper
		1.3 Structure of the Paper
	2 Description of the Proposed Method
	3 Simulations
	4 Conclusions
	References
Author Index