Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
  • Maman L, Lehmann-Willenbrock N, Chetouani M, Likforman-Sulem L and Varni G. Modeling the Interplay Between Cohesion Dimensions: A Challenge for Group Affective Emergent States. IEEE Transactions on Affective Computing. 10.1109/TAFFC.2024.3349910. 15:3. (1526-1538).

    https://ieeexplore.ieee.org/document/10417049/

  • Barrera-Llanga K, Burriel-Valencia J, Sapena-Bañó Á and Martínez-Román J. (2023). A Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors. Sensors. 10.3390/s23198196. 23:19. (8196).

    https://www.mdpi.com/1424-8220/23/19/8196

  • Ghosh S, Dhall A, Sebe N and Gedeon T. Automatic Prediction of Group Cohesiveness in Images. IEEE Transactions on Affective Computing. 10.1109/TAFFC.2020.3026095. 13:3. (1677-1690).

    https://ieeexplore.ieee.org/document/9204834/

  • Quiroz M, Patiño R, Diaz-Amado J and Cardinale Y. (2022). Group Emotion Detection Based on Social Robot Perception. Sensors. 10.3390/s22103749. 22:10. (3749).

    https://www.mdpi.com/1424-8220/22/10/3749

  • Maman L, Chetouani M, Likforman-Sulem L and Varni G. (2021). Using Valence Emotion to Predict Group Cohesion’s Dynamics: Top-down and Bottom-up Approaches 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII). 10.1109/ACII52823.2021.9597429. 978-1-6654-0019-0. (1-8).

    https://ieeexplore.ieee.org/document/9597429/

  • Tien D, Yang H, Lee G and Kim S. D2C-Based Hybrid Network for Predicting Group Cohesion Scores. IEEE Access. 10.1109/ACCESS.2021.3088340. 9. (84356-84363).

    https://ieeexplore.ieee.org/document/9450831/

  • Gavrikov I and Savchenko A. (2021). Efficient Group-Based Cohesion Prediction in Images Using Facial Descriptors. Recent Trends in Analysis of Images, Social Networks and Texts. 10.1007/978-3-030-71214-3_12. (140-148).

    https://link.springer.com/10.1007/978-3-030-71214-3_12

  • Walocha F, Maman L, Chetouani M and Varni G. Modeling Dynamics of Task and Social Cohesion from the Group Perspective Using Nonverbal Motion Capture-based Features. Companion Publication of the 2020 International Conference on Multimodal Interaction. (182-190).

    https://doi.org/10.1145/3395035.3425963

  • Wang Y, Wu J, Huang J, Hattori G, Takishima Y, Wada S, Kimura R, Chen J and Kurihara S. LDNN: Linguistic Knowledge Injectable Deep Neural Network for Group Cohesiveness Understanding. Proceedings of the 2020 International Conference on Multimodal Interaction. (343-350).

    https://doi.org/10.1145/3382507.3418830

  • Wang Y, Wu J, Heracleous P, Wada S, Kimura R and Kurihara S. Implicit Knowledge Injectable Cross Attention Audiovisual Model for Group Emotion Recognition. Proceedings of the 2020 International Conference on Multimodal Interaction. (827-834).

    https://doi.org/10.1145/3382507.3417960

  • Li S, Zheng W, Zong Y, Lu C, Tang C, Jiang X, Liu J and Xia W. Bi-modality Fusion for Emotion Recognition in the Wild. 2019 International Conference on Multimodal Interaction. (589-594).

    https://doi.org/10.1145/3340555.3355719

  • Wang K, Yang J, Guo D, Zhang K, Peng X and Qiao Y. Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. 2019 International Conference on Multimodal Interaction. (551-556).

    https://doi.org/10.1145/3340555.3355711