Emotional Intelligence
portes grátis
Emotional Intelligence
Second CSIG Conference, CEI 2024, Nanjing, China, December 6-8, 2024, Proceedings
Mao, Qirong; Huang, Xiaohua
Springer Nature Switzerland AG
05/2025
240
Mole
Inglês
9789819650835
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- 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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Affective computing;Computer science proceedings;Affective computing;Healthcare;facial action unit recognition;multimodal interactions;Micro-expression spotting;Psychological and Behavioral Analysis;Non-verbal interactions;Unsupervised domain adaptation;Multi-modal learning;Cross-modal fusion;Emotion evaluation;Deep learning;Depression recognition;Online action detection;Representation learning;Fuzzy Graph Convolutional Network;Multimodal Dataset;Speech emotion recognition
.- 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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Affective computing;Computer science proceedings;Affective computing;Healthcare;facial action unit recognition;multimodal interactions;Micro-expression spotting;Psychological and Behavioral Analysis;Non-verbal interactions;Unsupervised domain adaptation;Multi-modal learning;Cross-modal fusion;Emotion evaluation;Deep learning;Depression recognition;Online action detection;Representation learning;Fuzzy Graph Convolutional Network;Multimodal Dataset;Speech emotion recognition
