Artificial Neural Networks and Machine Learning – ICANN 2023

Table of Contents

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   Book Overview
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   Chapter 1 2RDA: Representation and Relation Distillation with Data Augmentation
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   Chapter 2 A Document-Level Relation Extraction Framework with Dynamic Pruning
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   Chapter 3 A Global Feature Fusion Network for Lettuce Growth Trait Detection
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   Chapter 4 Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition
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   Chapter 5 Adaptive Propagation Network Based on Multi-scale Information Fusion
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   Chapter 6 An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification
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   Chapter 7 An Explainable Feature Selection Approach for Fair Machine Learning
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   Chapter 8 Anchor Link Prediction Based on Trusted Anchor Re-identification
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    Chapter 9 Application of Data Encryption in Chinese Named Entity Recognition
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    Chapter 10 Attractor Dynamics Drive Flexible Timing in Birdsong
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    Chapter 11 Boost Predominant Instrument Recognition Performance with MagiaSearch and MagiaClassifier
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    Chapter 12 Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units?
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    Chapter 13 Cross-Domain Transformer with Adaptive Thresholding for Domain Adaptive Semantic Segmentation
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    Chapter 14 Delineation of Prostate Boundary from Medical Images via a Mathematical Formula-Based Hybrid Algorithm
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    Chapter 15 Diversifying Non-dissipative Reservoir Computing Dynamics
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    Chapter 16 Efficient Reinforcement Learning Using State-Action Uncertainty with Multiple Heads
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    Chapter 17 Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data
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    Chapter 18 Extracting Feature Space for Synchronizing Behavior in an Interaction Scene Using Unannotated Data
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    Chapter 19 F-E Fusion: A Fast Detection Method of Moving UAV Based on Frame and Event Flow
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    Chapter 20 Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity
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    Chapter 21 GII: A Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery
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    Chapter 22 Glancing Text and Vision Regularized Training to Enhance Machine Translation
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    Chapter 23 Global-Temporal Enhancement for Sign Language Recognition
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    Chapter 24 Global-to-Contextual Shared Semantic Learning for Fine-Grained Vision-Language Alignment
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    Chapter 25 Gradient-Based Learning of Finite Automata
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    Chapter 26 Hierarchical Contrastive Learning for CSI-Based Fingerprint Localization
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    Chapter 27 Higher Education Programming Competencies: A Novel Dataset
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    Chapter 28 Higher Target Relevance Parallel Machine Translation with Low-Frequency Word Enhancement
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    Chapter 29 I $$^2$$ 2 KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding
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    Chapter 30 Imbalanced Few-Shot Learning Based on Meta-transfer Learning
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    Chapter 31 Impact Analysis of Climate Change on Floods in an Indian Region Using Machine Learning
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    Chapter 32 Improving Limited Resource Speech Recognition Performance with Latent Regression Bayesian Network
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    Chapter 33 Input Layer Binarization with Bit-Plane Encoding
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    Chapter 34 Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry
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    Chapter 35 Joint Demosaicing and Denoising with Frequency Domain Features
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    Chapter 36 Knowledge Distillation with Feature Enhancement Mask
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    Chapter 37 Label-Description Enhanced Network for Few-Shot Named Entity Recognition
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    Chapter 38 Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm
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    Chapter 39 LaneMP: Robust Lane Attention Detection Based on Mutual Perception of Keypoints
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    Chapter 40 LE-MVSNet: Lightweight Efficient Multi-view Stereo Network
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    Chapter 41 Lightweight Reference-Less Summary Quality Evaluation via Key Feature Extraction
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    Chapter 42 Limited Information Opponent Modeling