21st International Conference, ICAISC 2022, Zakopane, Poland, June 19¿23, 2022, Proceedings, Part I Herausgegeben:Rutkowski, Leszek; Scherer, Rafal; Korytkowski, Marcin; Pedrycz, Witold; Tadeusiewicz, Ryszard; Zurada, Jacek M.
21st International Conference, ICAISC 2022, Zakopane, Poland, June 19¿23, 2022, Proceedings, Part I Herausgegeben:Rutkowski, Leszek; Scherer, Rafal; Korytkowski, Marcin; Pedrycz, Witold; Tadeusiewicz, Ryszard; Zurada, Jacek M.
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…mehr
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.
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.
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.
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