Affective Computing for Visual Emotion Recognition Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Affective Computing for Visual Emotion Recognition Using Convolutional Neural Networks

Published:2021 Issue: Volume: Page:11-20
ISSN:2194-5357
Container-title:Advances in Robotics, Automation and Data Analytics
language:
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Author:

Ashraf Arselan,Gunawan Teddy Surya,Rahman Farah Diyana Abdul,Sophian Ali,Ambikairajah Eliathamby,Ihsanto Eko,Kartiwi Mira

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-70917-4_2

Reference14 articles.

1. Tao, J., Tan, T.: Affective Computing: A Review, pp. 981–995. Springer (2005)

2. Najah, G.M.S.: Emotion estimation from facial images (Masters dissertation), ResearchGate (2017)

3. Wingenbach, T.S., Ashwin, C., Brosnan, M.: Correction: validation of the amsterdam dynamic facial expression set – bath intensity variations (ADFES-BIV): a set of videos expressing low, intermediate, and high intensity emotions. PLOS ONE 11(12), e0168891 (2016). https://doi.org/10.1371/journal.pone.0168891

4. Wu, C.-H., Lin, J.-C., Wei, W.-L.: Survey on audiovisual emotion recognition: databases, features, and data fusion strategies. APSIPA Trans. Signal Inf. Process. 3, e12 (2014)

5. Gunawan, T.S., Ashraf, A., Riza, B.S., Haryanto, E.V., Rosnelly, R., Kartiwi, M., Janin, Z.: Development of video-based emotion recognition using deep learning with Google Colab. TELKOMNIKA (Telecommun. Comput. Electron. Control) 18(5), 2463 (2020). https://doi.org/10.12928/telkomnika.v18i5.16717

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1. Advancing Emotion Recognition in Visual Data with Artificial Intelligence;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

2. Sulfur Ingression on Encapsulated Leadframe of Discrete Semiconductor Package;IEEE Transactions on Components, Packaging and Manufacturing Technology;2022-03

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