Open Access
Issue
SHS Web Conf.
Volume 139, 2022
The 4th ETLTC International Conference on ICT Integration in Technical Education (ETLTC2022)
Article Number 03017
Number of page(s) 9
Section Topics in Computer Science
DOI https://doi.org/10.1051/shsconf/202213903017
Published online 13 May 2022
  1. S. Minaee, M. Minaei and A. Abdolrashidi, "Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network," mdpi, vol. 21, 2021. [Google Scholar]
  2. W. Mellouka and W. Handouzi, "Facial emotion recognition using deep learning: review and insights," Procedia Computer Science, vol. 175, no. 6, p. 690, 2020. [Google Scholar]
  3. C. Primasiwi, H. Tjandrasa and D. Navastara, "Deteksi Ekspresi Wajah Menggunakan Fitur Gabor dan Haar Wavelet," vol. 7, no. 1, 2018. [Google Scholar]
  4. A. Santoso and A. Gunawan, "Implementasi Deep Learning Berbasis Keras Untuk Pengenalan Wajah," vol. 18, no. 1, pp. 18-20, 2018. [Google Scholar]
  5. I. Talegaonkar, K. Joshi, S. Valunj and K. Rucha, "Real Time Facial Expression Recognition using Deep Learning," in Elsevier-SSRN, Karvenagar, 2019. [Google Scholar]
  6. M. Nakamura, J. Wang, S. Phea and A. Abdallah, "Comprehensive Study of Coronavirus Disease 2019 (COVID-19) Classification based on Deep Convolution Neural Networks," in SHS Web of Conferences, Aizu-Wakamatsu, 2021. [Google Scholar]
  7. Y. N. Fu'adah, N. K. C. Pratiwi and N. Ibrahim, "Convolutional Neural Network (CNN) for Automatic Skin Cancer Classification System," IOP Science, vol. 2, no. 3, pp. 3-7, 2020. [Google Scholar]
  8. Y. N. Fu'adah, N. K. C. Pratiwi, F. F. Taliningsih and S. Rizal, "Automated Classification of Alzheimer’s Disease Based on MRI Image Processing using Convolutional Neural Network (CNN) with AlexNet Architecture," IOP Science, vol. 1844, no. 3, pp. 1-8, 2020. [Google Scholar]
  9. V. Roy and S. Shukla, "Mth Order FIR Filtering for EEG Denoising Using Adaptive Recursive Least Squares Algorithm," in IEEE, Jabalpur, India, 2015. [Google Scholar]
  10. S. Khan, H. Rahmani, S. Shah and M. Bennamoun, A Guide to Convolutional Neural Networks for Computer Vision, Morgan and Claypool Publishers, 2018. [Google Scholar]
  11. J. Feng and S. Lu, "Performance Analysis of Various Activation Functions in Artificial Neural Networks," Performance Analysis of Various Activation Functions in Artificial Neural Networks, vol. 1237, no. 2, pp. 1-6, 2019. [Google Scholar]
  12. W. Nawaz, S. Ahmed, A. Tahir and H. A. Khan, "Classification Of Breast Cancer Histology Images Using ALEXNET," in ICIAR 2018: Image Analysis and Recognition, vol. 10882, Springer, Cham, 2018, pp. 869-876. [Google Scholar]
  13. A. Santra and C. J. Christy, "Genetic Algorithm and Confusion Matrix for Document Clustering," IJCSI International Journal of Computer Science, vol. 9, no. 1, pp. 322-328, 2012. [Google Scholar]
  14. P. Murugan, Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification, Singapore: Nanyang Technological University, 2018. [Google Scholar]

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