Intelligent Data Engineering and Automated Learning – IDEAL 2022

Table of Contents

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   Book Overview
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   Chapter 1 Ensemble Stack Architecture for Lungs Segmentation from X-ray Images
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   Chapter 2 Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring
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   Chapter 3 Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques
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   Chapter 4 Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs
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   Chapter 5 Detection of False Information in Spanish Using Machine Learning Techniques
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   Chapter 6 An Approach to Authenticity Speech Validation Through Facial Recognition and Artificial Intelligence Techniques
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   Chapter 7 Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis
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   Chapter 8 Automatic Exploration of Domain Knowledge in Healthcare
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    Chapter 9 On Studying the Effect of Data Quality on Classification Performances
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    Chapter 10 A Binary Water Flow Optimizer Applied to Feature Selection
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    Chapter 11 Benchmarking Data Augmentation Techniques for Tabular Data
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    Chapter 12 Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks
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    Chapter 13 Explanations of Performance Differences in Segment Lining for Tunnel Boring Machines
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    Chapter 14 On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent
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    Chapter 15 An Intelligent Decision Support System for Road Freight Transport
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    Chapter 16 Endowing Intelligent Vehicles with the Ability to Learn User’s Habits and Preferences with Machine Learning Methods
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    Chapter 17 Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network
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    Chapter 18 Towards a Low-Cost Companion Robot for Helping Elderly Well-Being
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    Chapter 19 Zero-Shot Knowledge Graph Completion for Recommendation System
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    Chapter 20 The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture
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    Chapter 21 Distance-Based Delays in Echo State Networks
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    Chapter 22 EduBot: A Proof-of-Concept for a High School Motivational Agent
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    Chapter 23 A Simulation Model for Predicting the Spread of COVID-19 Virus
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    Chapter 24 ICU Mortality Prediction Using Long Short-Term Memory Networks
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    Chapter 25 Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers
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    Chapter 26 How Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms
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    Chapter 27 Ethereum Investment Based on LSTM and GRU Forecast
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    Chapter 28 Generating a European Portuguese BERT Based Model Using Content from Arquivo.pt Archive
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    Chapter 29 A Vision Transformer Enhanced with Patch Encoding for Malware Classification
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    Chapter 30 Association Rules Mining for Reducing Items from Emotion Regulation Questionnaires
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    Chapter 31 Explainable Artificial Intelligence for Improved Modeling of Processes
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    Chapter 32 Efficient Sensor Selection for Individualized Prediction Based on Biosignals
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    Chapter 33 Understanding the Classes Better with Class-Specific and Rule-Specific Feature Selection, and Redundancy Control in a Fuzzy Rule Based Framework
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    Chapter 34 Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference
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    Chapter 35 Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning
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    Chapter 36 Face ReID Method via Deep Learning
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    Chapter 37 Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes
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    Chapter 38 Res-GAN: Residual Generative Adversarial Network for Coronary Artery Segmentation
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    Chapter 39 Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection
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    Chapter 40 Randomized K-FACs: Speeding Up K-FAC with Randomized Numerical Linear Algebra
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    Chapter 41 Guide-Guard: Off-Target Predicting in CRISPR Applications
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    Chapter 42 Topological Analysis of Credit Data: Preliminary Findings
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    Chapter 43 A Comparative Study of LAD, CNN and DNN for Detecting Intrusions
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    Chapter 44 Effective Prevention of Semantic Drift in Continual Deep Learning
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    Chapter 45 A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting
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    Chapter 46 EfficientNet Architecture Family Analysis on Railway Track Defects
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    Chapter 47 Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization
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    Chapter 48 Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots’ Expertise
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    Chapter 49 Identification of Variables of a Floating Wind Turbine Prototype
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    Chapter 50 Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution
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    Chapter 51 Solving Multi-class Imbalance Problems Using Improved Tabular GANs
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    Chapter 52 Convolutional Neural Network Approach for Multiple Sclerosis Lesion Segmentation