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Artificial Neural Networks and Machine Learning – ICANN 2023

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Table of Contents

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    Book Overview
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    Chapter 1 MEA-TransUNet: A Multiple External Attention Network for Multi-Organ Segmentation
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    Chapter 2 Membership-Grade Based Prototype Rectification for Fine-Grained Few-Shot Classification
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    Chapter 3 Multi-grained Aspect Fusion for Review Response Generation
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    Chapter 4 Multiple Object Tracking Based on Variable GIoU-Embedding Matrix and Kalman Filter Compensation
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    Chapter 5 Multi-relation Identification for Few-Shot Document-Level Relation Extraction
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    Chapter 6 Multi-task Learning for Mongolian Morphological Analysis
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    Chapter 7 Multi-task Pre-training for Lhasa-Tibetan Speech Recognition
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    Chapter 8 Mutual Information Dropout: Mutual Information Can Be All You Need
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    Chapter 9 Non-Outlier Pseudo-Labeling for Short Text Clustering
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    Chapter 10 Optimal Node Embedding Dimension Selection Using Overall Entropy
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    Chapter 11 PairEE: A Novel Pairing-Scoring Approach for Better Overlapping Event Extraction
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    Chapter 12 PCB Component Rotation Detection Based on Polarity Identifier Attention
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    Chapter 13 PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation
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    Chapter 14 PlantDet: A Benchmark for Plant Detection in the Three-Rivers-Source Region
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    Chapter 15 PO-DARTS: Post-optimizing the Architectures Searched by Differentiable Architecture Search Algorithms
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    Chapter 16 Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models
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    Chapter 17 Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients
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    Chapter 18 PSML: Prototype-Based OSSL Framework for Multi-information Mining
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    Chapter 19 Pure Physics-Informed Echo State Network of ODE Solution Replicator
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    Chapter 20 RegionRel: A Framework for Jointly Extracting Relational Triplets by Performing Sub-tasks by Region
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    Chapter 21 Robustness to Variability and Asymmetry of In-Memory On-Chip Training
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    Chapter 22 Selecting Distinctive-Variant Training Samples Base on Intra-class Similarity
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    Chapter 23 Semantic Information Mining and Fusion Method for Bot Detection
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    Chapter 24 Semilayer-Wise Partial Quantization Without Accuracy Degradation or Back Propagation
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    Chapter 25 ShadowGAN for Line Drawings Shadow Generation
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    Chapter 26 Ship Attitude Prediction Based on Dynamic Sliding Window and EEMD-SSA-BiLSTM
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    Chapter 27 Solving Math Word Problem with External Knowledge and Entailment Loss
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    Chapter 28 Spatially Invariant and Frequency-Aware CycleGAN for Unsupervised MR-to-CT Synthesis
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    Chapter 29 Spatio-Temporal Attention Model with Prior Knowledge for Solar Wind Speed Prediction
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    Chapter 30 Spatiotemporal Model with Attention Mechanism for ENSO Predictions
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    Chapter 31 SPM-Diffusion for Temperature Prediction
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    Chapter 32 S-SOLVER : Numerically Stable Adaptive Step Size Solver for Neural ODEs
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    Chapter 33 TableSF: A Structural Bias Framework for Table-To-Text Generation
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    Chapter 34 TCS-LipNet: Temporal & Channel & Spatial Attention-Based Lip Reading Network
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    Chapter 35 The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence
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    Chapter 36 The Progressive Detectors and Discriminative Feature Descriptors Combining Global and Local Information
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    Chapter 37 Towards Better Dialogue Utterance Rewriting via a Gated Span-Copy Mechanism
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    Chapter 38 TSP Combination Optimization with Semi-local Attention Mechanism
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    Chapter 39 UDCGN: Uncertainty-Driven Cross-Guided Network for Depth Completion of Transparent Objects
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    Chapter 40 Use of Machine Learning Algorithms to Analyze the Digit Recognizer Problem in an Effective Manner
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    Chapter 41 Vulnerability Analysis of Continuous Prompts for Pre-trained Language Models
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Title
Artificial Neural Networks and Machine Learning – ICANN 2023
Published by
Springer Nature Switzerland, October 2023
DOI 10.1007/978-3-031-44201-8
ISBNs
978-3-03-144200-1, 978-3-03-144201-8
Editors

Iliadis, Lazaros, Papaleonidas, Antonios, Angelov, Plamen, Jayne, Chrisina

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