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Neural Information Processing

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Cover of 'Neural Information Processing'

Table of Contents

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    Book Overview
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    Chapter 1 A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation
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    Chapter 2 Electron Microscopy Image Registration with Transformers
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    Chapter 3 Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network
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    Chapter 4 A Measurement-Based Quantum-Like Language Model for Text Matching
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    Chapter 5 Virtual Try-on via Matching Relation with Landmark
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    Chapter 6 WINMLP: Quantum & Involution Inspire False Positive Reduction in Lung Nodule Detection
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    Chapter 7 Incorporating Generation Method and Discourse Structure to Event Coreference Resolution
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    Chapter 8 CCN: Pavement Crack Detection with Context Contrasted Net
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    Chapter 9 Spatial and Temporal Guidance for Semi-supervised Video Object Segmentation
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    Chapter 10 A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition
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    Chapter 11 Enhancing BERT for Short Text Classification with Latent Information
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    Chapter 12 Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction
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    Chapter 13 Transformer Based High-Frequency Predictive Model for Visual-Haptic Feedback of Virtual Surgery Navigation
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    Chapter 14 Hierarchical Multimodal Attention Network Based on Semantically Textual Guidance for Video Captioning
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    Chapter 15 Autism Spectrum Disorder Classification of Facial Images Using Xception Model and Transfer Learning with Image Augmentation
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    Chapter 16 A Comprehensive Vision-Based Model for Commercial Truck Driver Fatigue Detection
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    Chapter 17 Automatic Identification of Class Level Refactoring Using Abstract Syntax Tree and Embedding Technique
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    Chapter 18 Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning
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    Chapter 19 Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers
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    Chapter 20 NAS-StegNet: Lightweight Image Steganography Networks via Neural Architecture Search
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    Chapter 21 FIT: Frequency-Based Image Translation for Domain Adaptive Object Detection
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    Chapter 22 Single Image Dehazing Using Frequency Attention
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    Chapter 23 A Recurrent Point Clouds Selection Method for 3D Dense Captioning
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    Chapter 24 Multi-domain Feature Fusion Neural Network for Electrocardiogram Classification
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    Chapter 25 Graph-Based Contextual Attention Network for Single Image Deraining
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    Chapter 26 ADTR: Anomaly Detection Transformer with Feature Reconstruction
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    Chapter 27 SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web Pages
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    Chapter 28 Hierarchical Down-Sampling Based Ultra High-Resolution Image Inpainting
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    Chapter 29 Vision Transformer with Depth Auxiliary Information for Face Anti-spoofing
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    Chapter 30 Dynamically Connected Graph Representation for Object Detection
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    Chapter 31 Multi-Class Anomaly Detection
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    Chapter 32 Understanding Graph and Understanding Map and Their Potential Applications
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    Chapter 33 BBSN: Bilateral-Branch Siamese Network for Imbalanced Multi-label Text Classification
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    Chapter 34 Deep Hierarchical Semantic Model for Text Matching
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    Chapter 35 Multimodal Neural Network for Demand Forecasting
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    Chapter 36 Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention
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    Chapter 37 SGFusion: Camera-LiDAR Semantic and Geometric Fusion for 3D Object Detection
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    Chapter 38 SATNet: Captioning with Semantic Alignment and Feature Enhancement
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    Chapter 39 Halyomorpha Halys Detection Using Efficient Neural Networks
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    Chapter 40 HPointLoc: Point-Based Indoor Place Recognition Using Synthetic RGB-D Images
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    Chapter 41 In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers
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    Chapter 42 Relation-Guided Dual Hash Network for Unsupervised Cross-Modal Retrieval
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    Chapter 43 Prompt-Based Learning for Aspect-Level Sentiment Classification
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    Chapter 44 Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts
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    Chapter 45 Adaptive Early Classification of Time Series Using Deep Learning
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    Chapter 46 Introducing Multi-modality in Persuasive Task Oriented Virtual Sales Agent
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    Chapter 47 Low Dose CT Image Denoising Using Efficient Transformer with SimpleGate Mechanism
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    Chapter 48 iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel Segmentation
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    Chapter 49 Evolutionary Action Selection for Gradient-Based Policy Learning
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    Chapter 50 Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data
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    Chapter 51 Towards Improving EEG-Based Intent Recognition in Visual Search Tasks
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    Chapter 52 RVFL Classifier Based Ensemble Deep Learning for Early Diagnosis of Alzheimer’s Disease
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    Chapter 53 Anatomical Landmarks Localization for 3D Foot Point Clouds
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    Chapter 54 Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection
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    Chapter 55 A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization
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    Chapter 56 FaceMix: Transferring Local Regions for Data Augmentation in Face Recognition
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    Chapter 57 Permissioned Blockchain-Based XGBoost for Multi Banks Fraud Detection
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    Chapter 58 Rethinking Image Inpainting with Attention Feature Fusion
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    Chapter 59 Towards Accurate Alignment and Sufficient Context in Scene Text Recognition
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Title
Neural Information Processing
Published by
Springer International Publishing, May 2023
DOI 10.1007/978-3-031-30111-7
ISBNs
978-3-03-130110-0, 978-3-03-130111-7
Editors

Tanveer, Mohammad, Agarwal, Sonali, Ozawa, Seiichi, Ekbal, Asif, Jatowt, Adam

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