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PRICAI 2023: Trends in Artificial Intelligence

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Table of Contents

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    Book Overview
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    Chapter 1 DAGE: Dropout with Action Gradient Estimator for Continuous Control
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    Chapter 2 Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior
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    Chapter 3 Egalitarian Price of Fairness for Indivisible Goods
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    Chapter 4 Intelligent Network Intrusion Detection and Situational Awareness for Cyber-Physical Systems in Smart Cities
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    Chapter 5 A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis
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    Chapter 6 An Anomaly Detection Framework for System Logs Based on Ensemble Learning
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    Chapter 7 Be Informed of the Known to Catch the Unknown
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    Chapter 8 Network Structure Embedding Method Based on Role Domain Feature
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    Chapter 9 Machine Learning-Driven Reactor Pressure Vessel Embrittlement Prediction Model
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    Chapter 10 Mitigating Misinformation Spreading in Social Networks via Edge Blocking
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    Chapter 11 Multi-modal Component Representation for Multi-source Domain Adaptation Method
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    Chapter 12 Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning
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    Chapter 13 Diverse Policies Converge in Reward-Free Markov Decision Processes
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    Chapter 14 PruVer: Verification Assisted Pruning for Deep Reinforcement Learning
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    Chapter 15 AdaptLight: Toward Cross-Space-Time Collaboration for Adaptive Traffic Signal Control
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    Chapter 16 DeepLRA: An Efficient Long Running Application Scheduling Framework with Deep Reinforcement Learning in the Cloud
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    Chapter 17 Guiding Task Learning by Hierarchical RL with an Experience Replay Mechanism Through Reward Machines
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    Chapter 18 A Semantic Similarity Distance-Aware Contrastive Learning for Abstractive Summarization
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    Chapter 19 CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization
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    Chapter 20 Coarse-to-Fine Response Generation for Document Grounded Conversations
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    Chapter 21 Context-Dependent Text-to-SQL Generation with Intermediate Representation
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    Chapter 22 CSS: Contrastive Span Selector for Multi-span Question Answering
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    Chapter 23 Generative Model of Suitable Meme Sentences for Images Using AutoEncoder
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    Chapter 24 MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems
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    Chapter 25 Semantic Segmentation of Remote Sensing Architectural Images Based on GAN and UNet3+ Model
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    Chapter 26 Sparse Reconstruction Method for Flow Fields Based on Mode Decomposition Autoencoder
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    Chapter 27 StyleDisentangle: Disentangled Image Editing Based on StyleGAN2
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    Chapter 28 A Property Constrained Video Summarization Framework via Regret Minimization
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    Chapter 29 Enhancing Keyphrase Generation by BART Finetuning with Splitting and Shuffling
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    Chapter 30 A Dynamic-aware Heterogeneous Graph Neural Network for Next POI Recommendation
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    Chapter 31 Cross-scale Dynamic Relation Network for Object Detection
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    Chapter 32 Distribution-Adaptive Graph Attention Networks for Flood Forecasting
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    Chapter 33 DSAM-GN: Graph Network Based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification
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    Chapter 34 Dynamic Spatial-Temporal Dual Graph Neural Networks for Urban Traffic Prediction
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    Chapter 35 MuHca: Mixup Heterogeneous Graphs for Contrastive Learning with Data Augmentation
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    Chapter 36 Parameter-Lite Adapter for Dynamic Entity Alignment
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    Chapter 37 Zoom-Based AutoEncoder for Origin-Destination Demand Prediction
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    Chapter 38 A Stagewise Deep Learning Framework for Tooth Instance Segmentation in CBCT Images
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    Chapter 39 Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer’s Disease Diagnosis
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    Chapter 40 Learning Cross-Modal Factors from Multimodal Physiological Signals for Emotion Recognition
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    Chapter 41 VaeSSC: Enhanced GRN Inference with Structural Similarity Constrained Beta-VAE
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    Chapter 42 Parallel Construction of Knowledge Graphs from Relational Databases
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    Chapter 43 Knowledge Graph Augmentation with Entity Identification for Improving Knowledge Graph Completion Performance
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    Chapter 44 Relational Acceptability Semantics of Abstract Argumentation
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Title
PRICAI 2023: Trends in Artificial Intelligence
Published by
Springer Nature Singapore, November 2023
DOI 10.1007/978-981-99-7019-3
ISBNs
978-9-81-997018-6, 978-9-81-997019-3
Editors

Liu, Fenrong, Sadanandan, Arun Anand, Pham, Duc Nghia, Mursanto, Petrus, Lukose, Dickson

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