Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
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   Chapter 2 Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection
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   Chapter 3 Investigating Relational Recurrent Neural Networks with Variable Length Memory Pointer
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   Chapter 4 Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity
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   Chapter 5 The K-Closest Resemblance Classifier for Remote Sensing Data
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   Chapter 7 Deep Multi Agent Reinforcement Learning for Autonomous Driving
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   Chapter 8 Incremental Sequential Rule Mining with Streaming Input Traces
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   Chapter 9 FASTT: Team Formation Using Fair Division
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    Chapter 10 Empirical Confidence Models for Supervised Machine Learning
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    Chapter 11 Selection Driven Query Focused Abstractive Document Summarization
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    Chapter 12 VecHGrad for Solving Accurately Tensor Decomposition
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    Chapter 13 Sensitivity to Risk Profiles of Users When Developing AI Systems
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    Chapter 14 Forecasting Seat Counts in the 2019 Canadian Federal Election Using Twitter
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    Chapter 15 Adapting Ensemble Neural Networks to Clinical Prediction in High-Dimensional Settings
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    Chapter 16 A Cost Skew Aware Predictive System for Chest Drain Management
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    Chapter 17 Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks
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    Chapter 18 Big Players: Emotion in Twitter Communities Tweeting About Global Warming
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    Chapter 19 Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes
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    Chapter 20 Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation
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    Chapter 21 Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
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    Chapter 22 CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities
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    Chapter 23 Anomaly Detection and Prototype Selection Using Polyhedron Curvature
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    Chapter 24 Ethical Requirements for AI Systems
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    Chapter 25 A Deep Neural Network for Counting Vessels in Sonar Signals
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    Chapter 26 Partial Label Learning by Entropy Minimization
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    Chapter 27 Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks
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    Chapter 28 From Explicit to Implicit Entity Linking: A Learn to Rank Framework
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    Chapter 29 Automatic Polyp Segmentation Using Convolutional Neural Networks
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    Chapter 30 Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques
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    Chapter 31 Predicting the Number of Reported Bugs in a Software Repository
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    Chapter 32 Evaluation of a Failure Prediction Model for Large Scale Cloud Applications
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    Chapter 33 Customer Segmentation and Churn Prediction in Online Retail
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    Chapter 34 Detection and Diagnosis of Breast Cancer Using a Bayesian Approach
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    Chapter 35 Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models
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    Chapter 36 Word Representations, Seed Lexicons, Mapping Procedures, and Reference Lists: What Matters in Bilingual Lexicon Induction from Comparable Corpora?
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    Chapter 37 Attending Knowledge Facts with BERT-like Models in Question-Answering: Disappointing Results and Some Explanations
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    Chapter 38 Machine Learning the Donor Journey
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    Chapter 39 Exploring Deep Anomaly Detection Methods Based on Capsule Net
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    Chapter 40 Question-Worthy Sentence Selection for Question Generation
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    Chapter 41 Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
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    Chapter 42 An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction
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    Chapter 43 Similarity Matching of Temporal Event-Interval Sequences
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    Chapter 44 Classification of Rare Recipes Requires Linguistic Features as Special Ingredients
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    Chapter 45 Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model
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    Chapter 46 Personalized Multi-Faceted Trust Modeling in Social Networks
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    Chapter 47 Mixing ICI and CSI Models for More Efficient Probabilistic Inference
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    Chapter 48 RideSafe: Detecting Sexual Harassment in Rideshares
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    Chapter 49 Amalgamated Models for Detecting Duplicate Bug Reports
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    Chapter 50 Investigating Citation Linkage as a Sentence Similarity Measurement Task Using Deep Learning
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    Chapter 51 Improving Classification Using Topic Correlation and Expectation Propagation
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    Chapter 52 A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks
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    Chapter 53 Lexical Data Augmentation for Text Classification in Deep Learning
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    Chapter 54 A Deeper Look at Bongard Problems
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    Chapter 55 Adversarial Models for Deterministic Finite Automata
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    Chapter 56 Personalized Student Attribute Inference
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    Chapter 57 Vehicle Traffic Estimation Using Weather and Calendar Data
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    Chapter 58 Predicting Aggressive Responsive Behaviour Among People with Dementia
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    Chapter 59 Towards Analyzing the Sentiments in the Fields of Automobiles and Real-Estates with Specific Focus on Arabic Online Reviews