The two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during June 19-23, 2022.
The 69 revised full papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The papers are organized in the following topical sections:
Volume I:
Neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation.
Volume II:
Computer vision, image and speech analysis; data mining; various problems of artificial intelligence; bioinformatics, biometrics and medical applications.
Inhaltsverzeichnis
Neural Networks and Their Applications. -
A fast learning algorithm for the multilayer neural network. - A new computational approach to the Levenberg-Marquardt learning algorithm. - Training subjective perception biased images of vehicle ambient lights with deep belief networks using backpropagation- and enforcing-rules supervised. - An Empirical Study of Adversarial Domain Adaptation on Time Series Data. - Human-AI-Collaboration to increase the perception of VR. - Portfolio Transformer for Attention-Based Asset Allocation. - Transfer Learning with Deep Neural Embeddings for Music Classification Tasks. - Analysis and detection of DDoS Backscatter using NetFlow data, hyperband-optimised DeepLearning and explainability techniques. - BiLSTM deep learning model for heart problems detection. - Short Texts Representations for Legal Domain Classification. - Synthetic slowness shear well-logs prediction using supervised machine learning models. - ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction. - Multi-objective Bayesian Optimization for Neural Architecture Search. - Multilayer Perceptrons with Banach-like Perceptrons Based on Semi-Inner Products About Approximation Completeness. -
Fuzzy Systems and Their Applications. -
Similarity Fuzzy Semantic Networks and Inference. An application to analysis of radical discourse in Twitter. - An Application of Information Granules to Detect Anomalies in COVID-19 Reports. - Type-2 fuzzy classifier with smooth type-reduction. -
Evolutionary Algorithms and Their Applications. -
A multi-population-based algorithm with different ways of subpopulations cooperation. - Automated Design of Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-Heuristics. - Evolutionary Approach to Melodic Line Harmonization. - Using Automatic Programming toImprove Gradient Boosting for Classification. - Forced Movement Extensions of the Particle Swarm Optimizers with Inertia Weight. - LQ-R-SHADE: R-SHADE with quadratic surrogate model. -
Pattern Classification. -
Overload Monitoring System Using Sound Analysis for Electrical Machines. - Employing Convolutional Neural Networks for Continual Learning. - Explaining Machine Learning Predictions In Botnet Detection. - Learning Functional Descriptors Based on the Bernstein Polynomials - Preliminary Studies. -
Artificial Intelligence in Modeling and Simulation. -
Multiscale Multifractal Detrended Analysis of Speculative Attacks Dynamics in Cryptocurrencies. - A Heuristic Repair Algorithm for the Hospitals/Residents problem with Ties. - The Impact of Data Preprocessing on Prediction Effectiveness. - Convergence of RBF Networks Regression Function Estimates and Classifiers. - A Comparative Study of Genetic Programming Variants. - Optimization of Parameterized Behavior Trees in RTS Games. - Using Answer Set Programming to Improve Sensor Network Lifetime. - Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Random Decision Forests. - Validation of Labelling Algorithms for Abstract Argumentation Frameworks: The Case of Listing Stable Extensions.
