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Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 26, 2024, Proceedings, Part V [Pehme köide]

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  • Formaat: Paperback / softback, 481 pages, kõrgus x laius: 235x155 mm, 138 Illustrations, color; 4 Illustrations, black and white; XXXIV, 481 p. 142 illus., 138 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15290
  • Ilmumisaeg: 24-Jun-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819665876
  • ISBN-13: 9789819665877
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  • Formaat: Paperback / softback, 481 pages, kõrgus x laius: 235x155 mm, 138 Illustrations, color; 4 Illustrations, black and white; XXXIV, 481 p. 142 illus., 138 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15290
  • Ilmumisaeg: 24-Jun-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819665876
  • ISBN-13: 9789819665877

The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.
The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on
four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.

cPER2P: Parameter-Efficient Single-cell LLM for Translated Proteome
Profiles.- CRAFT: Consistent Representational Fusion of Three Molecular
Modalities.- AMPCL: Adaptive Meta-Path Selection and Contrastive Learning for
miRNA-Disease Prediction.- Video-Driven Comprehensive 3D Hip Joint Motion
Model for FAI Auxiliary Diagnosis.- LungCANet: A Novel Deep Co-Attention
Convolutional Neural Network Architecture for High-Precision Lung Cancer
Morphological Analysis and Classification.- ATFN: An Efficient Multi-Modal
Depression Assistance Diagnostic Model Based on Multi-Channel Attention
Mechanism.- Domain Knowledge Based Temporal-spatial Graph Convolution Network
for ECG Recognition.- Adaptive Constrained ICABMGGMM: application to ECG
blind source separation.- CRA-Eformer: Cross-scale Residual Attention-based
Edge-guide Transformer for Low-Dose CT Denoising.- Improving Text
Representation for Disease Detection From Social Media via Self-augmentation
and Contrastive Learning.- Improving Healthcare Outcomes by Identifying
Populations with Higher Risk of Lung Cancer from Primary Care Data.- Split
Learning on Multi-source Cross-streams.- Seizure Prediction based on
Multi-scale Fusion-attention Transformer.- Dynamic Self-Attention Gated
Spatial-Temporal Graph Convolutional Network for Skeleton-based Human
Activity Recognition.- G-SwinHAR: Swin Transformer for Smartphone-Based Human
Activity Recognition Using Gramian Angular Field.- Cross-feature Interactive
Fusion for Speech Emotion Recognition.- Temporal-contextual Event Learning
for Pedestrian Crossing Intent Prediction.- PoseRAC: Enhancing Repetitive
Action Counting with Salient Poses.- Spatio-Temporal Graph Convolutional
Networks for Pedestrian Trajectory Prediction.- Dual-branch StarNet with
Mutual Attention and U-Net Denoising for Simultaneously Recognizing Keywords
and Speakers.- Unsupervised Personalized Deep Learning for Wearable Human
Activity Recognition.- The Role of AI in Optimizing Human-centered Complex
Systems.- A Global Interactive and Bottleneck Fusion Model for Multi-Intent
Spoken Language Understanding.- GloveTyping: A Hand Gesture Recognition
System for Text Input Using a Hierarchical Framework with Attention
Mechanism.- Impacts of Prompt Perturbation on Reducing Bias and Hallucination
of Large Language Models.- A Multi-task Emotion Recognition Model based on
Continuously Labeled EEG Signals.- MUR: Multimodal Unified Refinement for
Multimedia Recommendation.- Identifying Misaligned Features for Cross-Domain
Cold-start Recommendation.- Temporal Semantic Scoring Path aware
Multi-Embedding Sequential Recommendation.- Online Labor Market Task
Recommendation via Time-weighted Diffusion Model.- Multi-Pattern Joint
Denoising Sequential Recommendation with Diffusion Model.- ProFetch:
Accelerate Deep Recommendation System Training with Proactively Designed Data
Layout and Dynamic Prefetching.