Del i serien Communications in Computer and Information Science

Neural Information Processing

30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XIII

Häftad, Engelska, 2023

AvBiao Luo,Long Cheng,Zheng-Guang Wu,Hongyi Li,Chaojie Li

1 569 kr

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The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023.

Produktinformation

Utgivningsdatum2023-11-30
Mått155 x 235 x 34 mm
Vikt943 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor609
FörlagSpringer Verlag, Singapore
ISBN9789819981779

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Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Applications.- Improve Conversational Search with Multi-Document Information.- Recurrent Update Representation Based on Multi-Head Attention Mechanism for Joint Entity and Relation Extraction.- p Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs.- MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection.- A Corpus of Quotation Element Annotation for Chinese Novels: Construction, Extraction and Application.- Decoupling Style from Contents for Positive Text Reframing.- Multi-level Feature Enhancement Method For Medical Text Detection.- Neuron Attribution-Based Attacks Fooling Object Detectors.- DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method based on Graph Attention Networks.- A Joint Identification Network for Legal Event Detection.- YOLO-D: Dual-branch infrared distant target detection based on multi-levelweighted feature fusion.- Graph Convolutional Network based Feature Constraints Learning for Cross-Domain Adaptive Recommendation.- A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition.- Incomplete Multi-view Subspace Clustering Using Non-Uniform Hyper-Graph for High-Order Information.- Deep Learning-Empowered Unsupervised Maritime Anomaly Detection.- Hazardous Driving Scenario Identification with Limited Training Samples.- Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification.- An Interpretable Vulnerability Detection Method Based on Multi-task Learning.- Co-GAN:A Text-to-Image Synthesis Model with Local and Integral Features.- Graph Contrastive ATtention Network for Rumor Detection.- E3-MG:End-to-End Expert Linking via Multi-Granularity Representation Learning.- TransCenter: Transformer in Heatmap and A New Form of Bounding Box.- Causal-Inspired Influence Maximization in Hypergraphs Under Temporal Constraints.- Enhanced Generation of Human Mobility Trajectory with Multiscale Model.- SRLI:Handling Irregular Time Series with a Novel Self-supervised Model based on Contrastive Learning.- Multimodal Event Classification in Social Media.- ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving.- Uformer++: Light Uformer for Image Restoration.- Can language really understand depth?.- Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft based on Variational Autoencoder.- Dynamic Feature Distillation.- Detection of Anomalies and Explanation in Cybersecurity.- Document-Level Relation Extraction with Relation Correlation Enhancement.- Multi-scale Directed Graph Convolution Neural Network for Node Classification Task.- Dual Knowledge Distillation for Neural Machine Translation.- Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting.- Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery.- FEGI: A Fusion Extractive-Generative Model for Dialogue Ellipsis and Coreference Integrated Resolution.- Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method.- Sub-Instruction and Local Map Relationship Enhanced Model for Vision and Language Navigation.- TFormer: Cross-Level Feature Fusion in Object Detection.- Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network.- Dual-Domain Learning For JPEG Artifacts Removal.- Graph-based Vehicle Keypoint Attention Model for Vehicle Re-identification.- POI Recommendation based on Double-level Spatio-temporal Relationship in Locations and Categories.- Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting.