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AI 2023: Advances in Artificial Intelligence

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Cover of 'AI 2023: Advances in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation
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    Chapter 2 Short-Term Solar Irradiance Forecasting from Future Sky Images Generation
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    Chapter 3 No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling
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    Chapter 4 Story Sifting Using Object Detection Techniques
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    Chapter 5 SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and  ROS-Based Automatic Annotation Pipeline
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    Chapter 6 Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies
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    Chapter 7 Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads
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    Chapter 8 SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement
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    Chapter 9 A New Perspective of Weakly Supervised 3D Instance Segmentation via Bounding Boxes
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    Chapter 10 Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation
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    Chapter 11 WeightRelay: Efficient Heterogeneous Federated Learning on Time Series
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    Chapter 12 Superpixel Attack
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    Chapter 13 Cross Domain Pulmonary Nodule Detection Without Source Data
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    Chapter 14 3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video
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    Chapter 15 Neural Networks in Forecasting Financial Volatility
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    Chapter 16 CLIP-Based Composed Image Retrieval with Comprehensive Fusion and Data Augmentation
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    Chapter 17 LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning
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    Chapter 18 A Sampling Method for Performance Predictor Based on Contrastive Learning
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    Chapter 19 AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning
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    Chapter 20 Estimation of Unmasked Face Images Based on Voice and 3DMM
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    Chapter 21 Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years
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    Chapter 22 Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City
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    Chapter 23 MIDGET: Music Conditioned 3D Dance Generation
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    Chapter 24 Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data
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    Chapter 25 Multiple Teacher Model for Continual Test-Time Domain Adaptation
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    Chapter 26 Causal Disentanglement for Adversarial Defense
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    Chapter 27 Gemini: A Dual-Task Co-training Model for Partial Label Learning
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    Chapter 28 Detecting Stress from Multivariate Time Series Data Using Topological Data Analysis
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    Chapter 29 Mining Label Distribution Drift in Unsupervised Domain Adaptation
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    Chapter 30 Automatic Classification of Sensors in Buildings: Learning from Time Series Data
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    Chapter 31 An Integrated Federated Learning and Meta-Learning Approach for Mining Operations
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    Chapter 32 An Augmented Learning Approach for Multiple Data Streams Under Concept Drift
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    Chapter 33 Sequence Unlearning for Sequential Recommender Systems
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    Chapter 34 MPANet: Multi-scale Pyramid Attention Network for Collaborative Modeling Spatio-Temporal Patterns of Default Mode Network
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    Chapter 35 Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems
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    Chapter 36 Finding Maximum Weakly Stable Matchings for Hospitals/Residents with Ties Problem via Heuristic Search
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    Chapter 37 Approximating Solutions to the Knapsack Problem Using the Lagrangian Dual Framework
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    Chapter 38 An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification
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    Chapter 39 Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
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    Chapter 40 Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising
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    Chapter 41 COVID-19 Fake News Detection Using Cross-Domain Classification Techniques
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    Chapter 42 Context-Based Masking for Spontaneous Venous Pulsations Detection
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    Chapter 43 Beyond Model Accuracy: Identifying Hidden Underlying Issues in Chest X-ray Classification
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    Chapter 44 Enhance Reading Comprehension from EEG-Based Brain-Computer Interface
Attention for Chapter 40: Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising
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Chapter title
Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising
Chapter number 40
Book title
AI 2023: Advances in Artificial Intelligence
Published by
Springer, Singapore, January 2024
DOI 10.1007/978-981-99-8388-9_40
Book ISBNs
978-9-81-998387-2, 978-9-81-998388-9
Authors

Wang, Brenda, Hettiarachchi, Chirath, Suominen, Hanna, Daskalaki, Elena

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