Progress in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
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   Chapter 2 Gamified CollectiveEyes: A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
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   Chapter 3 Design and Development of Ontology for AI-Based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients
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   Chapter 4 A System for Animal Health Monitoring and Emotions Detection
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   Chapter 5 A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
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   Chapter 6 A Maturity Model for Industries and Organizations of All Types to Adopt Responsible AI—Preliminary Results
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   Chapter 7 Completeness of Datasets Documentation on ML/AI Repositories: An Empirical Investigation
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   Chapter 8 Navigating the Landscape of AI Ethics and Responsibility
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    Chapter 9 Towards Interpretability in Fintech Applications via Knowledge Augmentation
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    Chapter 10 Revisiting Deep Attention Recurrent Networks
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    Chapter 11 Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning
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    Chapter 12 DyPrune: Dynamic Pruning Rates for Neural Networks
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    Chapter 13 Robustness Analysis of Machine Learning Models Using Domain-Specific Test Data Perturbation
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    Chapter 14 Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
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    Chapter 15 Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo
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    Chapter 16 A Review on Quadruped Manipulators
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    Chapter 17 Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis
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    Chapter 18 Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
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    Chapter 19 Imbalanced Regression Evaluation Under Uncertain Domain Preferences
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    Chapter 20 Studying the Impact of Sampling in Highly Frequent Time Series
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    Chapter 21 Mining Causal Links Between TV Sports Content and Real-World Data
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    Chapter 22 Hybrid SkipAwareRec: A Streaming Music Recommendation System
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    Chapter 23 Interpreting What is Important: An Explainability Approach and Study on Feature Selection
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    Chapter 24 Time-Series Pattern Verification in CNC Machining Data
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    Chapter 25 A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities
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    Chapter 26 Measuring Latency-Accuracy Trade-Offs in Convolutional Neural Networks
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    Chapter 27 Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance
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    Chapter 28 Multi-robot Adaptive Sampling for Supervised Spatiotemporal Forecasting
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    Chapter 29 Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions
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    Chapter 30 Tweet2Story: Extracting Narratives from Twitter
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    Chapter 31 Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning
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    Chapter 32 Event Extraction for Portuguese: A QA-Driven Approach Using ACE-2005
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    Chapter 33 Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis
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    Chapter 34 Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
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    Chapter 35 Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
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    Chapter 36 OSPT: European Portuguese Paraphrastic Dataset with Machine Translation
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    Chapter 37 Task Conditioned BERT for Joint Intent Detection and Slot-Filling
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    Chapter 38 Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs
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    Chapter 39 Heuristic Search Optimisation Using Planning and Curriculum Learning Techniques
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    Chapter 40 Review of Agent-Based Evacuation Models in Python