SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
An Active Learning Paradigm for Online Audio-Visual Emotion Recognition
16 references·6 citing·43 second hop
An Active Learning Paradigm for Online Audio-Visual Emotion Recognition (2019)An Active Learning Paradigm for Online Au…Personalized machine learning for robot perception of affect and engagement in autism therapy (2018)Personalized machine learning…Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)Speech Emotion Recognition Us…Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017)Speech Emotion Recognition fr…Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Learning Affective Features W…End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)End-to-End Multimodal Emotion…AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)AffectNet: A Database for Fac…AVEC 2016 (2016)AVEC 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…Recurrent Neural Networks for Emotion Recognition in Video (2015)Recurrent Neural Networks for…Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning (2015)Deep Learning for Emotion Rec…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Democracy Barometer. Methodology. Version 4. (2004)Democracy Barometer. Methodol…Exploration and Exploitation in Organizational Learning (1991)Exploration and Exploitation …Multimodal emotion recognition: A comprehensive review, trends, and challenges (2024)Multimodal emotion recognitio…New Trends in Emotion Recognition Using Image Analysis by Neural Networks, a Systematic Review (2023)New Trends in Emotion Recogni…Multimodal Emotion Recognition via Convolutional Neural Networks: Comparison of different strategies on two multimodal datasets (2023)Multimodal Emotion Recognitio…A Survey on Technical Challenges of Assistive Robotics for Elder People in Domestic Environments: The ASPiDA Concept (2023)A Survey on Technical Challen…A Model for EEG-Based Emotion Recognition: CNN-Bi-LSTM with Attention Mechanism (2023)A Model for EEG-Based Emotion…Multi-Modal Emotion Recognition by Fusing Correlation Features of Speech-Visual (2021)Multi-Modal Emotion Recogniti…Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Emotion recognition in human-computer interaction (2001)Speech emotion recognition using deep neural network and extreme learning machine (2014)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)A database of German emotional speech (2005)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Evaluating deep learning architectures for Speech Emotion Recognition (2017)3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)Speech emotion recognition (2018)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Prospect theory: An analysis of decision under risk (1988)Toward a knowledge‐based theory of the firm (1996)Absorptive Capacity: A Review, Reconceptualization, and Extension (2002)The Theory of Economic Development (2003)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2014)FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition (2017)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)Deep learning-based facial emotion recognition for human–computer interaction applications (2021)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)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A Coefficient of Agreement for Nominal Scales (1960)Intraclass correlations: Uses in assessing rater reliability. (1979)A circumplex model of affect. (1980)Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2018)Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2020)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Deep Facial Expression Recognition: A Survey (2020)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Operationalizing a concept: The systematic review of composite indicator building for measuring community disaster resilience (2017)Sustainable and renewable energy supply chain: A system dynamics overview (2017)Just urban futures? Exploring equity in “100 Resilient Cities” (2019)
this work references cited by second hop

References

  • 1991Exploration and Exploitation in Organizational Learning21,910 cited
  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2017AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild2,335 cited
  • 2004Democracy Barometer. Methodology. Version 4.2,331 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
  • 2017End-to-End Multimodal Emotion Recognition Using Deep Neural Networks749 cited
  • 2015Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning657 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 2016AVEC 2016505 cited
  • 2017Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching443 cited
  • 2017Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network414 cited
  • 2015Recurrent Neural Networks for Emotion Recognition in Video386 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2017Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition346 cited
  • 2018Personalized machine learning for robot perception of affect and engagement in autism therapy311 cited
  • Cited by

    • 2023New Trends in Emotion Recognition Using Image Analysis by Neural Networks, a Systematic Review71 cited
    • 2021Multi-Modal Emotion Recognition by Fusing Correlation Features of Speech-Visual68 cited
    • 2023Multimodal Emotion Recognition via Convolutional Neural Networks: Comparison of different strategies on two multimodal datasets65 cited
    • 2024Multimodal emotion recognition: A comprehensive review, trends, and challenges59 cited
    • 2023A Model for EEG-Based Emotion Recognition: CNN-Bi-LSTM with Attention Mechanism58 cited
    • 2023A Survey on Technical Challenges of Assistive Robotics for Elder People in Domestic Environments: The ASPiDA Concept33 cited