Emotional Intelligence Second CSIG Conference, CEI 2024, Nanjing, China, December 6-8, 2024, Proceedings /
This book constitutes the proceedings of the Second CSIG Conference on Emotional Intelligence, CEI 2024, held in Nanjing, China during December 6-8, 2024. The 14 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 41 submissions. These papers have been c...
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| Autor Corporativo: | |
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| Outros Autores: | , |
| Formato: | Recurso Eletrônico livro eletrônico |
| Idioma: | inglês |
| Publicado em: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Edição: | 1st ed. 2025. |
| coleção: | Communications in Computer and Information Science,
2450 |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/978-981-96-5084-2 |
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Sumário:
- -- Emotional Intelligence Surveys and Databases.
- Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond.
- REFN: A Multimodal Database for Emotion Analysis Using Functional Near-infrared Spectroscopy.
- Emotional Intelligence Methods.
- EIDA: Explicit- and Implicit-space Self-supervised Learning for Visual Emotion Adaptation.
- A Three streams Convolutional Transformer Fusion Model for Facial Macro- and Micro-Expressions Spotting.
- Facial Action Unit Recognition with Micro-Action-Aware Transformer.
- Local and Global Iterative Adaptation Based on Meta learning for Source-free Cross-Corpus Speech Emotion Recognition.
- Decoupled Representation with Multimodal Prompts for Emotion Recognition in Conversation.
- Emotional Intelligence Applications.
- Generative Text Prompts for Image Aesthetic Quality Assessment.
- Large Language Model Enhanced Fuzzy Logic Fusion Framework for Stance Detection.
- Skeleton-based Online Action Detection with Temporal Enhancement.
- Fine-Grained Spatial-Temporal Framework for Engagement Prediction.
- Multimodal Engagement Recognition by fusing Transformer and Bi-LSTM.
- Emotional Interaction Hardware Design for Wrist Rehabilitation Based on Secondary Fuzzy Reasoning.
- Attention-Based Audio Depression Recognition Integrating Handcrafted and Deep Features.
- STC-ND: Leveraging Spatialtemporal Characteristics with NeXtVLAD for Depression Detection from Few-Channel EEG Signals.
- DepLLM: Fine-Tuning Large Language Models with a Chinese Dialogue Dataset for Depression Diagnosis via Mixture of Specialized Experts.