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A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips
5 references·3 citing·33 second hop
A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips (2019)A multimodal convolutional neuro-fuzzy ne…Proceedings of the 19th ACM international conference on Multimedia (2011)Proceedings of the 19th ACM i…Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels (2010)Emotion Recognition of Affect…On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues (2009)On-line emotion recognition i…Affective computing: challenges (2003)Affective computing: challeng…The art of color : the subjective experience and objective rationale of color (1961)The art of color : the subjec…Trial Selection Tensor Canonical Correlation Analysis (TSTCCA) for Depression Recognition With Facial Expression and Pupil Diameter (2023)Trial Selection Tensor Canoni…Feature Fusion for Multimodal Emotion Recognition Based on Deep Canonical Correlation Analysis (2021)Feature Fusion for Multimodal…Emotional Intensity-based Success Prediction Model for Crowdfunded Campaigns (2020)Emotional Intensity-based Suc…A database of German emotional speech (2005)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)The INTERSPEECH 2009 emotion challenge (2009)Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information (2012)Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition (2021)Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion (2022)Positive affect and decision making. (1993)Affective Computing (1997)Toward machine emotional intelligence: analysis of affective physiological state (2001)Multimodal human–computer interaction: A survey (2007)Fundamentals of physiological computing (2008)Human Emotion Recognition: Review of Sensors and Methods (2020)Toward detecting emotions in spoken dialogs (2005)Praat: Doing Phonetics by Computer (2011)Survey on audiovisual emotion recognition: databases, features, and data fusion strategies (2014)Hierarchical committee of deep convolutional neural networks for robust facial expression recognition (2016)Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction (2019)The language that gets people to give (2014)Project description and crowdfunding success: an exploratory study (2016)Understanding the effect of social media marketing activities: The mediation of social identification, perceived value, and satisfaction (2018)Predicting the fundraising performance of environmental crowdfunding projects: An interpretable machine learning approach (2023)IEMOCAP: interactive emotional dyadic motion capture database (2008)ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)The Epidemiology of Major Depressive Disorder (2003)Attentional Biases for Negative Interpersonal Stimuli in Clinical Depression. (2004)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)The Effects of Color on the Moods of College Students (2014)Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion (2016)Survey on visual sentiment analysis (2020)Multi-cue fusion for emotion recognition in the wild (2018)The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning (2019)Visual-audio emotion recognition based on multi-task and ensemble learning with multiple features (2020)
this work references cited by second hop

References

  • 2003Affective computing: challenges978 cited
  • 1961The art of color : the subjective experience and objective rationale of color309 cited
  • 2011Proceedings of the 19th ACM international conference on Multimedia304 cited
  • 2010Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels267 cited
  • 2009On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues136 cited

Cited by

  • 2023Trial Selection Tensor Canonical Correlation Analysis (TSTCCA) for Depression Recognition With Facial Expression and Pupil Diameter53 cited
  • 2021Feature Fusion for Multimodal Emotion Recognition Based on Deep Canonical Correlation Analysis51 cited
  • 2020Emotional Intensity-based Success Prediction Model for Crowdfunded Campaigns21 cited

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