Open Access
| Issue |
BIO Web Conf.
Volume 209, 2026
The 1st International Conference on Biological Technology for Sustainable Nature (IC-BioTEStA 2025)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 9 | |
| Section | Biodiversity and Environmental Sustainability | |
| DOI | https://doi.org/10.1051/bioconf/202620904009 | |
| Published online | 09 January 2026 | |
- A. Mollahosseini, B. Hasani, M. H. Mahoor, AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild, IEEE Trans. Affect. Comput. 10, 1 (2019). doi: 10.1109/TAFFC.2017.2740923. [Google Scholar]
- C. Liu, K. Hirota, B. Wang, Y. Dai, Z. Jia, Two-Channel Feature Extraction Convolutional Neural Network for Facial Expression Recognition, Journal of Advanced Computational Intelligence and Intelligent Informatics. 24, 6 (2020). DOI: 10.20965/JACIII.2020.P0792 [Google Scholar]
- J. Li, K. Jin, D. Zhou, N. Kubota, dan Z. Ju, Attention mechanism-based CNN for facial expression recognition, Neurocomputing, 411, 340–350 (2020). doi: 10.1016/i.neucom.2020.06.014. [Google Scholar]
- S. Happy and A. Routray, Automated facial expression recognition using features of salient facial patches, IEEE Transactions on Affective Computing, 6, 1 (2015). doi: 10.1109/TAFFC.2014.2386334. [Google Scholar]
- M. Matsugu, K. Mori, Y. Mitari, and Y. Kaneda, Subject independent facial expression recognition with robust face detection using a convolutional neural network, Neural Networks, 16, 5–6 (2003). doi: 10.1016/S0893-6080(03)00115-1. [Google Scholar]
- F. Badri, M. T. Alawiy, and E. M. Yuniarno, Deep learning architecture based on convolutional neural network (CNN) in image classification, J. Ilm. Kursor, 12, 2 (2023). doi: 10.21107/kursor.v12i2.349. [Google Scholar]
- Y. Deng, H. Hayashi, and H. Nagahara, Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting, Arxif 2403, 15994v1 (2024). Doi: http://arxiv.org/abs/2403.15994 [Google Scholar]
- AG. Viswanatha Reddy, C. V. R. Dharma Savarni, dan S. Mukherjee, Facial expression recognition in the wild, by fusion of deep learnt and hand-crafted features, Cognitive Systems Research, 62, 23–34 (2020), doi: 10.1016/i.cogsys.2020.03.002. [Google Scholar]
- A. Chowanda, Separable convolutional neural networks for facial expressions recognition, Journal of Big Data, 8, 132 (2021). doi: 10.1186/s40537-021-00522-x. [Google Scholar]
- MS. Chamdi, F. Badri, S. Sugiono, Sistem Ekstraksi Video Deteksi Mata Kantuk Pengemudi Bus AKAP (Antar kota Antar Provinsi) Menggunakan Metode Landmarks Machine Learning. Science Electro, 16, 4 (2023). Retrieved from https://iim.unisma.ac.id/index.php/ite/article/view/22802/17069 [Google Scholar]
- M. B. Ulum, F. Badri, and B. M. Basuki, Sistem klasifikasi citra batik berbasis CNN (Convolutional Neural Network) menggunakan arsitektur EfficientNet B0, Sci. Electro, 17, 5 (2024). doi: 10.29040/ite.v17i5.25339. [Google Scholar]
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