Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Categorizing Emails Using Machine Learning with Textual Features
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   Chapter 2 Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction
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   Chapter 3 Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions
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   Chapter 4 Exploiting Symmetry of Independence in d-Separation
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   Chapter 5 Personality Extraction Through LinkedIn
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   Chapter 6 Solving Influence Diagrams with Simple Propagation
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   Chapter 7 Uncertain Evidence for Probabilistic Relational Models
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   Chapter 8 Enhanced Collaborative Filtering Through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means
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    Chapter 9 TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks
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    Chapter 10 SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation
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    Chapter 11 Automatically Learning a Human-Resource Ontology from Professional Social-Network Data
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    Chapter 12 Efficient Transformer-Based Sentence Encoding for Sentence Pair Modelling
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    Chapter 13 Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning
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    Chapter 14 Hybrid Temporal Situation Calculus
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    Chapter 15 3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks
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    Chapter 16 Identifying Misaligned Spans in Parallel Corpora Using Change Point Detection
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    Chapter 17 In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning
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    Chapter 18 Options in Multi-task Reinforcement Learning - Transfer via Reflection
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    Chapter 19 The Invisible Power of Fairness. How Machine Learning Shapes Democracy
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    Chapter 20 Maize Insects Classification Through Endoscopic Video Analysis
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    Chapter 21 Collaborative Clustering Approach Based on Dempster-Shafer Theory for Bag-of-Visual-Words Codebook Generation
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    Chapter 22 Memory-Efficient Backpropagation for Recurrent Neural Networks
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    Chapter 23 A Behavior-Based Proactive User Authentication Model Utilizing Mobile Application Usage Patterns
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    Chapter 24 Sparseout: Controlling Sparsity in Deep Networks
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    Chapter 25 Crowd Prediction Under Uncertainty
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    Chapter 26 Optimized Random Walk with Restart for Recommendation Systems
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    Chapter 27 Inter and Intra Document Attention for Depression Risk Assessment
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    Chapter 28 A Shallow Learning - Reduced Data Approach for Image Classification
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    Chapter 29 Multi-class Ensemble Learning of Imbalanced Bidding Fraud Data
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    Chapter 30 Towards Causal Analysis of Protocol Violations
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    Chapter 31 Lexicographic Preference Trees with Hard Constraints
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    Chapter 32 Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images
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    Chapter 33 Lifted Temporal Maximum Expected Utility
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    Chapter 34 Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks
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    Chapter 35 Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections
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    Chapter 36 Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples
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    Chapter 37 Self-training for Cell Segmentation and Counting
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    Chapter 38 Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference
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    Chapter 39 An Experiment for Background Subtraction in a Dynamic Scene
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    Chapter 40 Machine Translation on a Parallel Code-Switched Corpus
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    Chapter 41 Weighting Words Using Bi-Normal Separation for Text Classification Tasks with Multiple Classes
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    Chapter 42 A Deep Learning Approach for Diagnosing Long QT Syndrome Without Measuring QT Interval
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    Chapter 43 Learning Career Progression by Mining Social Media Profiles
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    Chapter 44 Toward a Conceptual Framework for Understanding AI Action and Legal Reaction
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    Chapter 45 Unsupervised Sentiment Analysis of Objective Texts
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    Chapter 46 Efficient Sequence Labeling with Actor-Critic Training
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    Chapter 47 Detecting Depression from Voice
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    Chapter 48 A Machine Learning Method for Nipple-Areola Complex Localization for Chest Masculinization Surgery
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    Chapter 49 A Generic Evolutionary Algorithm for Efficient Multi-Robot Task Allocations
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    Chapter 50 Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum
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    Chapter 51 Fully End-To-End Super-Resolved Bone Age Estimation
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    Chapter 52 Name2Vec: Personal Names Embeddings
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    Chapter 53 Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression Data
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    Chapter 54 Semantic Roles: Towards Rhetorical Moves in Writing About Experimental Procedures
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    Chapter 55 Compression Improves Image Classification Accuracy
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    Chapter 56 Predicting Commentaries on a Financial Report with Recurrent Neural Networks
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    Chapter 57 Applications of Feature Selection Techniques on Large Biomedical Datasets
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    Chapter 58 DeepAnom : An Ensemble Deep Framework for Anomaly Detection in System Processes
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    Chapter 59 Predicting Sparse Clients’ Actions with CPOPT-Net in the Banking Environment
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    Chapter 60 Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks
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    Chapter 61 Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study
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    Chapter 62 Principal Sample Analysis for Data Ranking
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    Chapter 63 Discrete-Event Systems for Modelling Decision-Making in Human Motor Control
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    Chapter 64 Event Prediction in Social Graphs Using 1-Dimensional Convolutional Neural Network
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    Chapter 65 A Framework for Determining Effective Team Members Using Evolutionary Computation in Dynamic Social Networks
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    Chapter 66 Generating Accurate Virtual Examples for Lifelong Machine Learning
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    Chapter 67 Towards a Novel Data Representation for Classifying Acoustic Signals
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    Chapter 68 Safe Policy Learning with Constrained Return Variance
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    Chapter 69 Artificial Intelligence-Based Latency Estimation for Distributed Systems