Foundations of Intelligent Systems

Table of Contents

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   Book Overview
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   Chapter 1 Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations
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   Chapter 2 The Construction of Action Rules to Raise Artwork Prices
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   Chapter 3 Metric-Guided Multi-task Learning
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   Chapter 4 Sentiment Analysis with Contextual Embeddings and Self-attention
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   Chapter 5 Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings
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   Chapter 6 Decision-Making with Probabilistic Reasoning in Engineering Design
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   Chapter 7 Hyperbolic Embeddings for Hierarchical Multi-label Classification
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   Chapter 8 Joint Multiclass Debiasing of Word Embeddings
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    Chapter 9 Recursive Neural Text Classification Using Discourse Tree Structure for Argumentation Mining and Sentiment Analysis Tasks
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    Chapter 10 Named Entity Recommendations to Enhance Multilingual Retrieval in Europeana.eu
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    Chapter 11 A Deep Learning Approach to Fake News Detection
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    Chapter 12 Satirical News Detection with Semantic Feature Extraction and Game-Theoretic Rough Sets
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    Chapter 13 Comparing State-of-the-Art Neural Network Ensemble Methods in Soccer Predictions
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    Chapter 14 Static Music Emotion Recognition Using Recurrent Neural Networks
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    Chapter 15 Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction
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    Chapter 16 Mesoscale Anisotropically-Connected Learning
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    Chapter 17 Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
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    Chapter 18 Neural Spike Sorting Using Unsupervised Adversarial Learning
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    Chapter 19 Poriferal Vision: Classifying Benthic Sponge Spicules to Assess Historical Impacts of Marine Climate Change
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    Chapter 20 Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring
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    Chapter 21 Ranking Speech Features for Their Usage in Singing Emotion Classification
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    Chapter 22 Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data
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    Chapter 23 A Hierarchical-Based Web-Platform for Crowdsourcing Distinguishable Image Patches
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    Chapter 24 Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs
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    Chapter 25 CatIO - A Framework for Model-Based Diagnosis of Cyber-Physical Systems
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    Chapter 26 Data Publishing: Availability of Data Under Security Policies
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    Chapter 27 Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems
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    Chapter 28 Explaining Object Motion Using Answer Set Programming
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    Chapter 29 The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition
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    Chapter 30 Mining Exceptional Mediation Models
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    Chapter 31 Multivariate Predictive Clustering Trees for Classification
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    Chapter 32 Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows
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    Chapter 33 Clustering Algorithm Consistency in Fixed Dimensional Spaces
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    Chapter 34 Estimating the Importance of Relational Features by Using Gradient Boosting
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    Chapter 35 Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering
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    Chapter 36 Predicting Associations Between Proteins and Multiple Diseases
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    Chapter 37 Exploiting Answer Set Programming for Building explainable Recommendations
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    Chapter 38 Tailoring Random Forest for Requirements Classification
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    Chapter 39 On the Design of a Natural Logic System for Knowledge Bases
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    Chapter 40 Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data
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    Chapter 41 SimLoss: Class Similarities in Cross Entropy
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    Chapter 42 Efficient and Precise Classification of CT Scannings of Renal Tumors Using Convolutional Neural Networks
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    Chapter 43 Deep Autoencoder Ensembles for Anomaly Detection on Blockchain
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    Chapter 44 A Parallelized Variant of Junker’s QuickXPlain Algorithm