Predicting Level of Visual Focus of Human’s Attention Using Machine Learning Approaches-Reference-Cited by-同舟云学术

Predicting Level of Visual Focus of Human’s Attention Using Machine Learning Approaches

Published:2020-12-17 Issue: Volume: Page:683-694
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Chakraborty Partha^ORCID,Yousuf Mohammad Abu^ORCID,Rahman Saifur^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4673-4_56

Reference16 articles.

1. Caye, A., Agnew-Blais, J., Arseneault, L., Gonçalves, H., Kieling, C., Langley, K., Menezes, A.M.B., Moffitt, T.E., Passos, I.C., Rocha, T.B., Sibley, M.H., Swanson, J.M., Thapar, A., Wehrmeister, F., Rohde, L.A.: A risk calculator to predict adult attention-deficit/hyperactivity disorder: generation and external validation in three birth cohorts and one clinical sample. In: Epidemiology and Psychiatric Sciences (2020)

2. Chakraborty, P., Yousuf, M.A., Zahidur Rahman, M., Faruqui, N.: How can a robot calculate the level of visual focus of human’s attention. In: Algorithms for Intelligent Systems. Springer, Singapore (2020)

3. Zhang, R., Liu, Z., Zhang, L., Whritner, J., Muller, K., Hayhoe, M., Ballard, D.: AGIL: learning attention from human for visuomotor tasks. In: 15th European Conference. Munich, Germany, 8–14 Sept 2018

4. Xu, M., Song, Y., Wang, J., Qiao, M., Huo, L., Wang, Z.: Predicting head movement in panoramic video: a deep reinforcement learning approach. IEEE Trans. Pattern Anal. Mach. Intell. 1 (2018)

5. AL-Shabandar, R., Hussain, A., Laws, A., Keight, R., Lunn, J., Radi, N.: Machine learning approaches to predict learning outcomes in Massive open online courses. In: International Joint Conference on Neural Networks (IJCNN), pp. 713-720 (2017)

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