Neural Information Processing
Springer Verlag, Singapore
978-981-99-8177-9 (ISBN)
The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions.
The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
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.
| Erscheinungsdatum | 30.11.2023 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | 179 Illustrations, color; 10 Illustrations, black and white; XX, 609 p. 189 illus., 179 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | affective and cognitive learning • Big Data • Bioinformatics • brain-machine interface • Computational Finance • Computational Intelligence • control and decision theory • Data Mining • Human-Computer interaction • Image processing & computer vision • machine learning • Natural Language Processing • neural data analysis • neural network • Neurodynamics • Optimization • pattern recognition • Recommender Systems • Robotics and control • Social Networks |
| ISBN-10 | 981-99-8177-8 / 9819981778 |
| ISBN-13 | 978-981-99-8177-9 / 9789819981779 |
| Zustand | Neuware |
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