Author:
Mahmud Firoz,Islam Bayezid,Hossain Arfat,Goala Pushpen Bikash
Cited by
6 articles.
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1. Review of Machine and Deep Learning Techniques for Expression based Facial Emotion Recognition;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24
2. Enhanced Facial Expression Recognition Based on Facial Action Unit Intensity and Region;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
3. Facial expression optimal class separability for expression recognition;Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023);2023-08-01
4. A Method for Improving AlexNet’s Performance in The Area of Facial Expressions Recognition;2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2023-07-13
5. Towards Machine Learning-Based Emotion Recognition from Multimodal Data;Lecture Notes in Networks and Systems;2023