Intelligent Systems

Table of Contents

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   Book Overview
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   Chapter 1 Mortality Risk Evaluation: A Proposal for Intensive Care Units Patients Exploring Machine Learning Methods
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   Chapter 2 Requirements Elicitation Techniques and Tools in the Context of Artificial Intelligence
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   Chapter 3 An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments
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   Chapter 4 The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic
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   Chapter 5 A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task
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   Chapter 6 Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback
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   Chapter 7 Adaptive Fast XGBoost for Regression
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   Chapter 8 The Effects of Under and Over Sampling in Exoplanet Transit Identification with Low Signal-to-Noise Ratio Data
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    Chapter 9 Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements
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    Chapter 10 Feature Extraction for a Genetic Programming-Based Brain-Computer Interface
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    Chapter 11 Selecting Optimal Trace Clustering Pipelines with Meta-learning
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    Chapter 12 Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision
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    Chapter 13 Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery
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    Chapter 14 Mutation Rate Analysis Using a Self-Adaptive Genetic Algorithm on the OneMax Problem
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    Chapter 15 Application of the Sugeno Integral in Fuzzy Rule-Based Classification
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    Chapter 16 Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment
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    Chapter 17 Glomerulosclerosis Identification Using a Modified Dense Convolutional Network
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    Chapter 18 Diffusion-Based Approach to Style Modeling in Expressive TTS
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    Chapter 19 Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods
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    Chapter 20 Explanation-by-Example Based on Item Response Theory
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    Chapter 21 Short-and-Long-Term Impact of Initialization Functions in NeuroEvolution
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    Chapter 22 Analysis of the Influence of the MVDR Filter Parameters on the Performance of SSVEP-Based BCI
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    Chapter 23 A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration
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    Chapter 24 Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators
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    Chapter 25 Leveraging Textual Descriptions for House Price Valuation
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    Chapter 26 Measuring Ethics in AI with AI: A Methodology and Dataset Construction
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    Chapter 27 Time Robust Trees: Using Temporal Invariance to Improve Generalization
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    Chapter 28 Generating Diverse Clustering Datasets with Targeted Characteristics
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    Chapter 29 On AGM Belief Revision for Computational Tree Logic
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    Chapter 30 Hyperintensional Models and Belief Change
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    Chapter 31 A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems
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    Chapter 32 Answering Questions About COVID-19 Vaccines Using ChatBot Technologies
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    Chapter 33 Analysis of Neutrality of AutoML Search Spaces with Local Optima Networks
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    Chapter 34 Dealing with Inconsistencies in  $${ASPIC}^+$$ ASPIC +
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    Chapter 35 A Grammar-based Genetic Programming Hyper-Heuristic for Corridor Allocation Problem
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    Chapter 36 Generalising Semantics to Weighted Bipolar Argumentation Frameworks
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    Chapter 37 The Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: A Literature Review
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    Chapter 38 Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules
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    Chapter 39 Artificial Intelligence, Algorithmic Transparency and Public Policies: The Case of Facial Recognition Technologies in the Public Transportation System of Large Brazilian Municipalities
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    Chapter 40 Resource Allocation Optimization in Business Processes Supported by Reinforcement Learning and Process Mining
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    Chapter 41 Exploitability Assessment with Genetically Tuned Interconnected Neural Networks
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    Chapter 42 Predicting Compatibility of Cultivars in Grafting Processes Using Kernel Methods and Collaborative Filtering
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    Chapter 43 Cross-validation Strategies for Balanced and Imbalanced Datasets
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    Chapter 44 Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data