| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Neural information processing/ edited by Mufti Mahmud ... [et al.]. |
| Reminder of title: |
31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings. |
| remainder title: |
ICONIP 2024 |
| other author: |
Mahmud, Mufti. |
| corporate name: |
ICONIP (Conference) |
| Published: |
Singapore :Springer Nature Singapore : : 2025., |
| Description: |
xxxiv, 481 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Neural networks (Computer science) - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-981-96-6588-4 |
| ISBN: |
9789819665884 |