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Artificial intelligence and soft computing21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022 : proceedings.Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and soft computingedited by Leszek Rutkowski ... [et al.].
Reminder of title:	21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022 : proceedings.
remainder title:	ICAISC 2022
other author:	Rutkowski, Leszek.
Published:	Cham :Springer International Publishing :2023.
Description:	xviii, 439 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-031-23492-7
ISBN:	9783031234927$q(electronic bk.)

Artificial intelligence and soft computing21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022 : proceedings.Part I /
Artificial intelligence and soft computing21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022 : proceedings.Part I /[electronic resource] :ICAISC 2022edited by Leszek Rutkowski ... [et al.]. - Cham :Springer International Publishing :2023. - xviii, 439 p. :ill., digital ;24 cm. - Lecture notes in computer science,135881611-3349 ;. - Lecture notes in computer science ;4891..

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 to Improve 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.

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.

ISBN: 9783031234927$q(electronic bk.)

Standard No.: 10.1007/978-3-031-23492-7doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334 / .A78 2023

Dewey Class. No.: 006.3

Artificial intelligence and soft computing21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022 : proceedings.Part I /
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