A Study on Emotion Recognition Based on Hierarchical Adaboost Multi-class Algorithm-Reference-Cited by-同舟云学术

A Study on Emotion Recognition Based on Hierarchical Adaboost Multi-class Algorithm

Published:2018 Issue: Volume: Page:105-113
ISSN:0302-9743
Container-title:Algorithms and Architectures for Parallel Processing
language:
Short-container-title:

Author:

Zhang Song,Hu Bin,Li Tiantian,Zheng Xiangwei

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05054-2_8

Reference10 articles.

1. Su Yun, H., Lixin, B.X., et al.: Knowledge modeling and emotion recognition for EEG data. Chin. Sci. Bull. 60(11), 1002–1009 (2015)

2. Lecture Notes in Computer Science;W Liu,2016

3. Bui, D.T., Ho, T.C., Pradhan, B., et al.: GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks. Environ. Earth Sci. 75(14), 1–22 (2016)

4. Khosrowabadi, R., Quek, H.C., Wahab, A., et al.: EEG-based emotion recognition using self-organizing map for boundary detection. In: International Conference on Pattern Recognition, pp. 4242–4245. IEEE (2010)

5. Petrantonakis, P.C., Hadjileontiadis, L.J.: Emotion recognition from EEG using higher order crossings. IEEE Trans. Inf Technol. Biomed. 14(2), 186 (2010)

Cited by 6 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. Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined stimulation;Frontiers in Human Neuroscience;2024-01-08

2. Multi-domain fusion deep graph convolution neural network for EEG emotion recognition;Neural Computing and Applications;2022-08-17

3. Autonomous Facial Expression Detection and Human-Robot-Interaction: A Survey;Lecture Notes in Networks and Systems;2021-09-10

4. An experience of the cognitive map-based classifier usage in astronaut's emotional state monitoring;Acta Astronautica;2021-04

5. SLiKER: Sparse loss induced kernel ensemble regression;Pattern Recognition;2021-01