Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part III / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li

• Record Nr.: UNISA996565868703316
• Autore: Luo Biao
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
• ISBN: 981-9980-67-4
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (632 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 14449
• Altri autori (Persone): ChengLong; WuZheng-Guang; LiHongyi; LiChaojie
• Disciplina: 006.4
• Soggetti: Pattern recognition systems; Data mining; Machine learning; Social sciences - Data processing; Automated Pattern Recognition; Data Mining and Knowledge Discovery; Machine Learning; Computer Application in Social and Behavioral Sciences
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Theory and Algorithms -- Efficient Lightweight Network with Transformer-based Distillation for Micro-crack Detection of Solar Cells -- {MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding -- Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-Output Regression -- Evolutionary Computation for Berth Allocation Problems: A Survey -- Cognitive Neurosciences -- Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach -- A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI -- RMPE:Reducing Residual Membrane ; Potential Error for Enabling High-accuracy and Ultra-low-latency Spiking Neural Networks -- An improved target searching and imaging method for CSAR -- Block-Matching Multi-Pedestrian Tracking -- RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving -- Traffic Signal Control Optimization Based on Deep Reinforcement Learning With Attention Mechanisms -- CMCI: A Robust Multimodal Fusion Method For Spiking Neural Networks -- A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels -- Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition -- Brain-inspired Binaural Sound Source Localization Method Based On Liquid State Machine -- A Causality-Based Interpretable Cognitive Diagnosis Model -- RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning -- High-dimensional multi-objective PSO based on radial projection -- Link Prediction Based on the Sub-graphs Learning with Fused Features -- Naturalistic Emotion Recognition Using EEG and Eye Movements -- Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center -- Traffic Signal Optimization at T-shaped intersections Based on Deep Q Networks -- A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems -- Domain Generalized Object Detection with Triple Graph Reasoning Network -- RPUC: Semi-supervised 3D Biomedical Image Segmentation through Rectified Pyramid Unsupervised Consistency -- Cancellable iris recognition scheme based on inversion fusion and local ranking -- EWMIGCN: Emotional Weighting based Multimodal Interaction Graph Convolutional Networks for Personalized Prediction -- Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey -- Human Centred Computing -- Channel Attention Separable Convolution Network for Skin Lesion Segmentation -- A DNN-based Learning Framework for Continuous Movements Segmentation -- Neural-Symbolic Recommendation with Graph-Enhanced Information -- Contrastive Hierarchical Gating Networks for Rating Prediction -- Interactive Selection Recommendation Based on the Multi-Head Attention Graph Neural Network -- CM-TCN: Channel-aware Multi-scale Temporal Convolutional Networks For Speech Emotion Recognition -- FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies -- Domain-Invariant Task Optimization for Cross-domain Recommendation -- Ensemble of randomized neural network and boosted trees for eye tracking-based driver situation awareness recognition and interpretation -- Temporal Modeling Approach for Video Action Recognition Based on Vision-Language Models -- A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images -- User stance aware network for rumor detection using semantic relation inference and temporal graph convolution -- IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification -- Multi-Task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion -- Fast and Efficient Brain Extraction with Recursive MLP based 3D UNet -- A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis -- Evaluation of football players' performance based on Multi-Criteria Decision Analysis approach and sensitivity analysis. .
• Sommario/riassunto: The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in ; November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. .