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Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
13 references·6 citing·45 second hopsampled
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data (2018)Semi-supervised Deep Generative Modelling…EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)EmotionMeter: A Multimodal Fr…End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)End-to-End Multimodal Emotion…A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…Multimodal emotion recognition using deep learning architectures (2016)Multimodal emotion recognitio…Emotion Recognition Using Multimodal Deep Learning (2016)Emotion Recognition Using Mul…Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Investigating Critical Freque…Deep Multimodal Learning for Affective Analysis and Retrieval (2015)Deep Multimodal Learning for …Combining eye movements and EEG to enhance emotion recognition (2015)Combining eye movements and E…Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection (2015)Analysis of EEG Signals and F…A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals (2014)A Novel Semi-Supervised Deep …Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data (2011)Exploring Fusion Methods for …DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Affect Detection: An Interdis…SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition (2024)SEED-VII: A Multimodal Datase…Research Progress of EEG-Based Emotion Recognition: A Survey (2024)Research Progress of EEG-Base…Exploiting Modality-Invariant Feature for Robust Multimodal Emotion Recognition with Missing Modalities (2023)Exploiting Modality-Invariant…A review on semi-supervised learning for EEG-based emotion recognition (2023)A review on semi-supervised l…Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features (2022)Robust Audiovisual Emotion Re…Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching (2020)Semi-supervised Multi-modal E…A revised version of the psychoticism scale (1985)Personality and Individual Differences (1985)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)The expression of the emotions in man and animals. (1872)A Coefficient of Agreement for Nominal Scales (1960)Emotion And Adaptation (1991)Facial Expression Analysis under Partial Occlusion (2018)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2017)Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals (2017)EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations (2019)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences (2021)Investigating EEG-based functional connectivity patterns for multimodal emotion recognition (2022)Differential entropy feature for EEG-based emotion classification (2013)Multimodal Emotion Recognition Using Deep Neural Networks (2017)A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges (2018)A systematic survey on multimodal emotion recognition using learning algorithms (2023)IEMOCAP: interactive emotional dyadic motion capture database (2008)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020)Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale (2022)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Vocal communication of emotion: A review of research paradigms (2003)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)EEG Based Emotion Recognition: A Tutorial and Review (2022)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS) (2018)Emotion Recognition from Multiband EEG Signals Using CapsNet (2019)EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network (2020)
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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2015Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks2,616 cited
  • 2010Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications1,892 cited
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 2018EmotionMeter: A Multimodal Framework for Recognizing Human Emotions1,274 cited
  • 2017End-to-End Multimodal Emotion Recognition Using Deep Neural Networks749 cited
  • 2015Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection555 cited
  • 2016Emotion Recognition Using Multimodal Deep Learning301 cited
  • 2016Multimodal emotion recognition using deep learning architectures249 cited
  • 2015Combining eye movements and EEG to enhance emotion recognition185 cited
  • 2011Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data156 cited
  • 2015Deep Multimodal Learning for Affective Analysis and Retrieval154 cited
  • 2014A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals100 cited

Cited by

  • 2023Exploiting Modality-Invariant Feature for Robust Multimodal Emotion Recognition with Missing Modalities

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75 cited
  • 2020Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching73 cited
  • 2024Research Progress of EEG-Based Emotion Recognition: A Survey67 cited
  • 2024SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition62 cited
  • 2022Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features53 cited
  • 2023A review on semi-supervised learning for EEG-based emotion recognition37 cited