Artificial Intelligence XL

Table of Contents

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   Book Overview
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   Chapter 1 On Explanations for Hybrid Artificial Intelligence
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   Chapter 2 Intermediate Task Ensembling for Sarcasm Detection
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   Chapter 3 Clinical Dialogue Transcription Error Correction with Self-supervision
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   Chapter 4 Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
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   Chapter 5 Confidence Preservation Property in Knowledge Distillation Abstractions
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   Chapter 7 CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric
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   Chapter 8 A Contrastive Learning Scheme with Transformer Innate Patches
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   Chapter 9 Deep Despeckling of SAR Images to Improve Change Detection Performance
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    Chapter 10 Profiling Power Consumption for Deep Learning on Resource Limited Devices
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    Chapter 11 Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation
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    Chapter 12 Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning
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    Chapter 13 PertCF: A Perturbation-Based Counterfactual Generation Approach
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    Chapter 14 Speech Emotion Recognition Using Deep Learning
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    Chapter 15 Distinct Sequential Models for Inference Boosting
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    Chapter 16 On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research
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    Chapter 18 A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment
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    Chapter 19 Optimal Manufacturing Controller Synthesis Using Situation Calculus
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    Chapter 20 Predicting Social Trust from Implicit Feedback
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    Chapter 21 A Neural Network Approach to Dragon Boat Partition Problem(Abstract)
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    Chapter 22 Auditing AI Systems: A Metadata Approach
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    Chapter 23 Prospective Responsibility for Multi-agent Systems
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    Chapter 24 Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News
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    Chapter 25 A Knowledge Rich Task Planning Framework for Human-Robot Collaboration
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    Chapter 26 Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations
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    Chapter 27 Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures
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    Chapter 28 Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine
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    Chapter 29 Solar Flare Forecasting Using Individual and Ensemble RNN Models
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    Chapter 30 Deep Reinforcement Learning for Continuous Control of Material Thickness
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    Chapter 31 SANTA: Semi-supervised Adversarial Network Threat and Anomaly Detection System
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    Chapter 32 Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction
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    Chapter 33 ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching
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    Chapter 34 Cropline and Weed Detection in Corn Using Weak Supervision
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    Chapter 36 Heuristic Search of Heuristics
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    Chapter 37 Bias in Recommender Systems: Item Price Perspective
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    Chapter 38 Automating Question Generation From Educational Text
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    Chapter 39 Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement
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    Chapter 40 Interpreting NMR Spectra by Constraint Solving
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    Chapter 41 On the Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem
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    Chapter 42 Detecting Bias in University News Articles: A Comparative Study Using BERT, GPT-3.5 and Google Bard Annotations
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    Chapter 43 Hybrid System for Prostate MR Image Segmentation Using Expert Knowledge and Machine Learning
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    Chapter 44 COVID-19 Liquor Sales Forecasting Model
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    Chapter 45 On the Development of a Candidate Selection System for Automated Plastic Waste Detection Using Airborne Based Remote Sensing
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    Chapter 46 Estimations of Professional Experience with Panel Data to Improve Salary Predictions
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    Chapter 47 Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review