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Artificial Intelligence and Soft Computing : 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13588
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 13588
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Numerical analysis.
- Algorithms.
- Computer networks.
- Social sciences-Data processing.
- Education-Data processing.
- Artificial Intelligence.
- Numerical Analysis.
- Design and Analysis of Algorithms.
- Computer Communication Networks.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Local Subjects:
- Artificial Intelligence.
- Numerical Analysis.
- Design and Analysis of Algorithms.
- Computer Communication Networks.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Physical Description:
- 1 online resource (XVIII, 439 pages) : 117 illustrations, 91 illustrations in color.
- Edition:
- 1st ed. 2023.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2023.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-23492-7
- 9783031234927
- Access Restriction:
- Restricted for use by site license.
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