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Record Nr. |
UNINA9911047662703321 |
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Autore |
Mahmud Mufti |
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Titolo |
Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part XIII / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (760 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2294 |
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Altri autori (Persone) |
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DoborjehMaryam |
HuangDejiang |
LeungAndrew Chi Sing |
DoborjehZohreh |
TanveerM |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Integrating Hierarchical Fine-Grained and Global Information for Multimodal Sentiment Analysis -- Elemental Discourse Unit Guidance Based Model for Multimodal Sentence Summarization -- DeemCLIP: Multimodal Emotion Information Enhanced Human Action Recognition -- Can Multimodal Large Language Model Think Analogically? -- PKRD-CoT: A unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving -- Multi-Granularity Multimodal Information Interaction for Knowledge Graph Completion -- |
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Graph Enhanced Cross-Modal Retrieval based on Visual-Language Knowledge Distillation -- A Simple Interactive Attention for Multimodal Named Entity Recognition -- Multimodal Polarity-semantic Coupling Network for Sarcasm Analysis -- A Two-Stage Multi-Domain Collaborative Optimization Network for 3D Human Mesh Recovery -- Supporting Event Sentence Coreference Identification with Progressive Prompt-guided Implicit knowledge Distillation -- CRGAT: Contextualized Relational Graph Attention Network for Knowledge Graph Completion -- Leveled Learning: An Interpolation-Based Data Augmentation Method on Few-Shot Text Classification -- Prompt-tuning for Clickbait Detection via Text Summarization -- Optimizing BERT for Superior NLP Performance: Balancing Efficiency with Advanced Pre-Training Techniques -- EBPL: Financial Event Causality Extraction Based on Prompt Learning -- TCAN: Triple Context-Aware Network for Multi-Modal Conversational Emotion Recognition -- DDKG: Dual attention KG-to-text Generation with Dual-view Graph Attention -- The Master-Slave Encoder Model for Improving Patent Text Summarization: A New Approach to Combining Specifications and Claims -- MulLog: A Software Defect Prediction Approach Based on Multi-Label Contrastive Learning and Line Property Graph Learning -- Video Piracy Websites Detection using Continual Learning with Elastic Weight Consolidation -- MetaRAED: Meta Learning Prototype-based Retrieval Augmented Few-shot Event Detection -- Cantonese Dialect Transcription in Diverse Sophisticated Scenarios via the OpenAI Whisper Speech Recognition Model -- Cross-lingual Sentence Representations via Focus Learning -- SPSEAE: Soft Prompt with Relevant Context Aggregation for Sentence-Level Event Argument Extraction -- HinglishCap: A Code Mixed Hindi-English Image Captioning Framework -- Silent Intruders: Dissecting Textual Backdoor Attacks in Federated Dialog Systems -- SBoRA: Low-Rank Adaptation with Regional Weight Updates -- Improving Document-level Event Coreference Resolution with Knowledge Distillation -- Improving In-Context Learning with Inquiry Style Classification in Table Question Answering -- Role-playing based on Large Language Models via Style Extraction. |
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Sommario/riassunto |
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The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications. |
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