Artificial Intelligence and Soft Computing

Table of Contents

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   Book Overview
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   Chapter 1 A Fast Learning Algorithm for the Multi-layer Neural Network
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   Chapter 2 A New Computational Approach to the Levenberg-Marquardt Learning Algorithm
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   Chapter 3 Training Subjective Perception Biased Images of Vehicle Ambient Lights with Deep Belief Networks Using Backpropagation- and Enforcing-Rules Supervised
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   Chapter 4 An Empirical Study of Adversarial Domain Adaptation on Time Series Data
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   Chapter 5 Human-AI Collaboration to Increase the Perception of VR
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   Chapter 6 Portfolio Transformer for Attention-Based Asset Allocation
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   Chapter 7 Transfer Learning with Deep Neural Embeddings for Music Classification Tasks
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   Chapter 8 Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques
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    Chapter 9 BiLSTM Deep Learning Model for Heart Problems Detection
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    Chapter 10 Short Texts Representations for Legal Domain Classification
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    Chapter 11 Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models
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    Chapter 12 ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction
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    Chapter 13 Multi-objective Bayesian Optimization for Neural Architecture Search
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    Chapter 14 Multilayer Perceptrons with Banach-Like Perceptrons Based on Semi-inner Products – About Approximation Completeness
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    Chapter 15 Similarity Fuzzy Semantic Networks and Inference. An Application to Analysis of Radical Discourse in Twitter
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    Chapter 16 An Application of Information Granules to Detect Anomalies in COVID-19 Reports
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    Chapter 17 Type-2 Fuzzy Classifier with Smooth Type-Reduction
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    Chapter 18 A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation
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    Chapter 19 Automated Design of Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-Heuristics
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    Chapter 20 Evolutionary Approach to Melodic Line Harmonization
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    Chapter 21 Using Automatic Programming to Improve Gradient Boosting for Classification
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    Chapter 22 Forced Movement Extensions of the Particle Swarm Optimizers with Inertia Weight
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    Chapter 23 LQ-R-SHADE: R-SHADE with Quadratic Surrogate Model
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    Chapter 24 Overload Monitoring System Using Sound Analysis for Electrical Machines
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    Chapter 25 Employing Convolutional Neural Networks for Continual Learning
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    Chapter 26 Explaining Machine Learning Predictions in Botnet Detection
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    Chapter 27 Learning Functional Descriptors Based on the Bernstein Polynomials – Preliminary Studies
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    Chapter 28 Multiscale Multifractal Detrended Analysis of Speculative Attacks Dynamics in Cryptocurrencies
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    Chapter 29 A Heuristic Repair Algorithm for the Hospitals/Residents Problem with Ties
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    Chapter 30 The Impact of Data Preprocessing on Prediction Effectiveness
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    Chapter 31 Convergence of RBF Networks Regression Function Estimates and Classifiers
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    Chapter 32 A Comparative Study of Genetic Programming Variants
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    Chapter 33 Optimization of Parameterized Behavior Trees in RTS Games
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    Chapter 34 Using Answer Set Programming to Improve Sensor Network Lifetime
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    Chapter 35 Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Random Decision Forests
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    Chapter 36 Validation of Labelling Algorithms for Abstract Argumentation Frameworks: The Case of Listing Stable Extensions