Author:
Karatay Buşra,Beştepe Deniz,Sailunaz Kashfia,Özyer Tansel,Alhajj Reda
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference75 articles.
1. Agrawal A, Mittal N (2020) Using cnn for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy. Vis Comput 36(2):405–412
2. Agrawal A, Mittal N (2020) Using cnn for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy, Vis Comput, 36(2):405–412
3. Akçay MB, Oǧuz K (2020) Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers, Speech Commun, Elsevier, 116:56–76
4. Akçay MB, Oǧuz K (2020) Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers. Speech Commun, Elsevier 116:56–76
5. Alswaidan N, El Bachir Menai M (2020) A survey of state-of-the-art approaches for emotion recognition in text. Springer, Knowl Inf Syst, pp 1–51
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. CNN-LSTM based Facial Expression Detection System;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03
2. EACT-Det: An Efficient Adjusting Criss-cross windows Transformer Embedding Pyramid Networks for Similar Disease Detection;Multimedia Tools and Applications;2023-11-29
3. Creating a Learning Profile by Using Face and Emotion Recognition;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06