Artificial Intelligence and Soft Computing [E-Book] : 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.
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 w...
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Personal Name(s): | Korytkowski, Marcin, editor |
Pedrycz, Witold, editor / Rutkowski, Leszek, editor / Scherer, Rafał, editor / Tadeusiewicz, Ryszard, editor / Zurada, Jacek M., editor | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
|
Physical Description: |
XVIII, 439 pages 117 illustrations, 91 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031234927 |
DOI: |
10.1007/978-3-031-23492-7 |
Series Title: |
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Lecture Notes in Artificial Intelligence ;
13588 /* Depending on the record driver, $field may either be an array with "name" and "number" keys or a flat string containing only the series name. We should account for both cases to maximize compatibility. */?> Lecture Notes in Computer Science |
Subject (LOC): |
- 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.