Artificial Intelligence and Soft Computing 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II

Computer Vision, Image and Speech Analysis.- A novel ConvMixer transformer based architecture for violent behavior detection.- Speech Emotion Recognition: Recent Advances and Current Trends.- A Smartphone-Based Computer Vision Assistance System with Neural Network Depth Estimation for the Visually Impaired.- Hybrid Learning Model for Satellite Forest Image Segmentation.- Adaptive Pruning for Multi-Head Self-Attention.- Fast Visual Imperfection Detection When Real Negative Examples are Unavailable.- Vision-Based Mobile Robots Control Along a Given Trajectory.- Text Guided Facial Image Synthesis using StyleGAN and Variational Autoencoder trained CLIP.- Application of object detection models for the detection of kitchen furniture - A comparison.- Support Learning Vovinam Exercises based on Computer Vision.- Semantic Segmentation Neural Network in Automatic Weapon Detection.-  Various Problems of Artificial Intelligence.- An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences.- Monte Carlo Tree Search with metaheuristics.- Phishing Attack Detection: An Improved Performance through Ensemble Learning.- Removing Ambiguity in Natural Language for Generating Self Join Queries.- Predicting Churn Rate in Companies.- Training set preparation for deep model learning inpatients with ischemic brain lesions and gender identity disorder.- From Simulated to Real Environments: Q-Learning for MAZENavigation of a TurtleBot.- Bioinformatics, Biometrics and Medical Applications.- 3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields.- Exploring target identification with K-nearest neighbors’ algorithm.- Computational models for COVID-19 dynamics prediction.- Electrochemical Biosensor Design through Data-Driven Modeling incorporating Meta-analysis and Big Data workflow.- A new method of verification of dynamic signatures changing over time with decomposition and selection of characteristic descriptors.- Impact of the pre-processing and balancing of EEG data on the performance of graph neural network for epileptic seizure classification.- A new rebinning reconstruction method for the low dose CT scanners with flying focal spot.- Data Mining and Pateern Classification.- Advancing Singular Value Decomposition Techniques for Enhanced Data Mining in Recommender Systems.- An experimental analysis on mapping strategies for cepstral coefficients multi-projection in voice spoofing detection problem.- Mining Correlated High-Utility Itemsets using the Cosine Measure.- Bayesian Inference in Infinite Multivariate McDonald’s Beta Mixture model.- Cannabis Use Estimators within Canadian Population using Social Media Based on Deep Learning Tools.- On the Bayesian interpretation of penalized statistical estimators.- Synthetic Data for Feature Selection.- ML Support For Conformity Checks in CMDB-Like Databases.- An Improvement of Graph Neural Network for Multi-behavior Recommendation.- Binary Matrix Factorization Discretization.- Combining linear classifiers using score function based on distance to decision boundar.