PRICAI 2021: Trends in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Designing Bounded Min-Knapsack Bandits Algorithm for Sustainable Demand Response
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   Chapter 2 Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding
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   Chapter 3 Federated Learning for Non-IID Data: From Theory to Algorithm
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   Chapter 4 Fixed-Price Diffusion Mechanism Design
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   Chapter 5 Multiclass Classification Using Dilute Bandit Feedback
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   Chapter 6 A Study of Misinformation Games
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   Chapter 7 Influence-Driven Explanations for Bayesian Network Classifiers
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   Chapter 8 Public Project with Minimum Expected Release Delay
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    Chapter 9 Strategy Proof Mechanisms for Facility Location at Limited Locations
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    Chapter 10 A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis
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    Chapter 11 A Cost-Efficient Framework for Scene Text Detection in the Wild
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    Chapter 12 A Dueling-DDPG Architecture for Mobile Robots Path Planning Based on Laser Range Findings
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    Chapter 13 A Fully Dynamic Context Guided Reasoning and Reconsidering Network for Video Captioning
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    Chapter 14 Adaptive Prediction of Hip Joint Center from X-ray Images Using Generalized Regularized Extreme Learning Machine and Globalized Bounded Nelder-Mead Strategy
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    Chapter 15 Adversarial Training for Image Captioning Incorporating Relation Attention
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    Chapter 16 Element Re-identification in Crowdtesting
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    Chapter 17 Flame and Smoke Detection Algorithm for UAV Based on Improved YOLOv4-Tiny
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    Chapter 18 Improving Protein Backbone Angle Prediction Using Hidden Markov Models in Deep Learning
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    Chapter 19 Magic Mirror Stealth: Interactive Automatic Picture Editing System
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    Chapter 20 Off-TANet: A Lightweight Neural Micro-expression Recognizer with Optical Flow Features and Integrated Attention Mechanism
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    Chapter 21 Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks
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    Chapter 22 Semantic Structural and Occlusive Feature Fusion for Pedestrian Detection
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    Chapter 23 VTLayout: Fusion of Visual and Text Features for Document Layout Analysis
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    Chapter 24 An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
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    Chapter 25 Generation of Environment-Irrelevant Adversarial Digital Camouflage Patterns
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    Chapter 26 Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation
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    Chapter 27 Pervasive Monitoring of Gastrointestinal Health of Newborn Babies
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    Chapter 28 Price and Time Optimization for Utility-Aware Taxi Dispatching
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    Chapter 29 VAN: Voting and Attention Based Network for Unsupervised Medical Image Registration
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    Chapter 30 MGEoT: A Multi-grained Ensemble Method for Time Series Classification
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    Chapter 31 Mining Skyline Frequent-Utility Itemsets with Utility Filtering
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    Chapter 32 Network Embedding with Topology-Aware Textual Representations
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    Chapter 33 Online Discriminative Semantic-Preserving Hashing for Large-Scale Cross-Modal Retrieval
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    Chapter 34 Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM
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    Chapter 35 A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification
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    Chapter 36 Adaptive Relaxations for Multistage Robust Optimization
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    Chapter 37 ALGNN: Auto-Designed Lightweight Graph Neural Network
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    Chapter 38 Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study
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    Chapter 39 Dendritic Cell Algorithm with Group Particle Swarm Optimization for Input Signal Generation
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    Chapter 40 Building Trust for Belief Revision
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    Chapter 42 Correcting Large Knowledge Bases Using Guided Inductive Logic Learning Rules
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    Chapter 43 High-Quality Noise Detection for Knowledge Graph Embedding with Rule-Based Triple Confidence
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    Chapter 44 Multi-agent Epistemic Planning with Inconsistent Beliefs, Trust and Lies