LEADER 05532nam 22006135 450 001 9910763591103321 005 20240312123659.0 010 $a981-9980-76-3 024 7 $a10.1007/978-981-99-8076-5 035 $a(MiAaPQ)EBC30941349 035 $a(Au-PeEL)EBL30941349 035 $a(DE-He213)978-981-99-8076-5 035 $a(CKB)28846141500041 035 $a(EXLCZ)9928846141500041 100 $a20231113d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing $e30th International Conference, ICONIP 2023, Changsha, China, November 20?23, 2023, Proceedings, Part VI /$fedited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (521 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14452 311 08$aPrint version: Luo, Biao Neural Information Processing Singapore : Springer,c2023 9789819980758 327 $aMIC: An Effective Defense Against Word-level Textual Backdoor Attacks -- Active Learning for Open-set Annotation Using Contrastive Query Strategy -- Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels -- Differentiable Topics Guided New Paper Recommendation -- IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer -- OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction -- Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs -- DRPDDet: Dynamic Rotated Proposals Decoder for Oriented object detection -- MFSFFuse: Multi-Receptive Field Feature Extraction for Infrared and Visible Image Fusion using Self-Supervised Learning -- Progressive Temporal Transformer for Bird's-Eye-View Camera Pose Estimation -- Adaptive Focal Inverse Distance Transform Maps for Cell Recognition -- Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates -- Micro-Expression Recognition Based on PCB-PCANet+ -- Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios -- Optimal Task Grouping Approach in Multitask Learning -- Effective Guidance in Zero-Shot Multilingual Translation via Multiple Language Prototypes -- Extending DenseHMM with Continuous Emission -- An Efficient Enhanced-YOLOv5 Algorithm for Multi-scale Ship Detection -- Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-Chain Cross-Chain Data -- Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection -- Learning to Match Features with Geometry-aware Pooling -- PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic -- Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection -- Exploring Non-Isometric Alignment Inference for Representation Learning of Irregular Sequences -- Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain -- Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-Task Learning and Physical Information -- Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction -- Long Short-Term Planning for Conversational Recommendation Systems -- Gated Bi-View Graph Structure Learning -- How Legal Knowledge Graph Can Help Predict Charges for Legal Text -- CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition -- Introducing Semantic-based Receptive Field into Semantic Segmentation via Graph Neural Networks -- Transductive Cross-Lingual Scene-Text Visual Question Answering -- Learning Representations for Sparse Crowd Answers -- Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System based on Deep Domain Adaptation. 330 $aThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14452 606 $aPattern recognition systems 606 $aData mining 606 $aMachine learning 606 $aSocial sciences$xData processing 606 $aAutomated Pattern Recognition 606 $aData Mining and Knowledge Discovery 606 $aMachine Learning 606 $aComputer Application in Social and Behavioral Sciences 615 0$aPattern recognition systems. 615 0$aData mining. 615 0$aMachine learning. 615 0$aSocial sciences$xData processing. 615 14$aAutomated Pattern Recognition. 615 24$aData Mining and Knowledge Discovery. 615 24$aMachine Learning. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a745.05 702 $aLuo$b Biao 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910763591103321 996 $aNeural Information Processing$92554499 997 $aUNINA