|
[1]
|
Daradoumis, T., Bassi, R., Xhafa, F., et al. (2013) A Review on Massive E-Learning (MOOC) Design, Delivery and As-sessment. 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), Compiegne, 28-30 October 2013, 208-213.
|
|
[2]
|
Xu, J.Q., Liu, F. and Jiang, M. (2008) Task-Based Language Teaching: From the Practical Perspective. 2008 International Conference on Computer Science and Software Engineering, Hubei, 12-14 December 2008, 1054-1057.
|
|
[3]
|
Binali, H.H., Wu, C. and Potdar, V. (2009) A New Significant Area: Emotion Detection in E-Learning Using Opinion Mining Techniques. 3rd IEEE International Conference on Digital Ecosystems and Technologies, Istanbul, 1-3 June 2009, 259-264.
|
|
[4]
|
Sylwester, R. (1994) How Emotions Affect Learning. Educational Leadership, 52, 60-65.
|
|
[5]
|
Bower, G.H. (1992) How Might Emotions Affect Learning? The Handbook of Emotion and Memory: Research and Theory, 3, 31.
|
|
[6]
|
Xu, J., Huang, Z., Shi, M., et al. (2017) Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network. In: UK Workshop on Computational Intelligence, Springer, 245-252.
|
|
[7]
|
Shen, L., Wang, M. and Shen, R. (2009) Affective E-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment. Journal of Educational Technology & Society, 12, 176.
|
|
[8]
|
Graesser, A.C., Wiemer-Hastings, K., Wiemer-Hastings, P., et al. (1999) AutoTutor: A Simulation of a Human Tutor. Cognitive Systems Research, 1, 35-51. [Google Scholar] [CrossRef]
|
|
[9]
|
Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., et al. (2001) Emotion Recognition in Human-Computer Interaction. IEEE Signal Processing Magazine, 18, 32-80. [Google Scholar] [CrossRef]
|
|
[10]
|
Shojaeilangari, S., Yau, W.-Y., Nandakumar, K., et al. (2015) Robust Representation and Recognition of Facial Emotions using Extreme Sparse Learning. IEEE Transactions on Image Processing, 24, 2140-2152. [Google Scholar] [CrossRef]
|
|
[11]
|
LeCun, Y., Bengio, Y. and Hinton, G. (2015) Deep Learning. Nature, 521, 436-444. [Google Scholar] [CrossRef] [PubMed]
|
|
[12]
|
Jiang, M., Ding, Y., Goertzel, B., et al. (2014) Improving Machine Vision via Incorporating Expectation-Maximization into Deep Spatio-Temporal Learning. International Joint Conference on Neural Networks, Beijing, 6-11 July 2014, 1804-1811.
|
|
[13]
|
张永锋. 基于CUDA架构的深度时空推理网络[D]: [硕士学位论文]. 厦门: 厦门大学, 2012.
|
|
[14]
|
Arel, I., Rose, D.C. and Coop, R. (2009) DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, Arlington, 5-7 November 2009, 11-15.
|
|
[15]
|
NVIDIA (2011) NVIDIA CUDA C Programming Guide. Nvidia Corporation, Santa Clara, 120, 8.
|
|
[16]
|
Jiang, M., Huang, Z., Qiu, L., et al. (2017) Transfer Learning Based Dynamic Multiobjective Optimization Algorithms. IEEE Transactions on Evolutionary Computation, 1. [Google Scholar] [CrossRef]
|
|
[17]
|
Goertzel, B., De Garis, H., Pennachin, C., et al. (2010) OpenCogBot: Achieving Generally Intelligent Virtual Agent Control and Humanoid Robotics via Cognitive Synergy. Proceedings of ICAI, 10, 1-12.
|
|
[18]
|
Jiang, M., Huang, W., Huang, Z., et al. (2017) Integration of Global and Local Metrics for Domain Adaptation Learning via Dimensionality Reduction. IEEE Transactions on Cybernetics, 47, 38-51. [Google Scholar] [CrossRef]
|
|
[19]
|
Zhang, X., Jiang, M., Zhou, C., et al. (2012) Graded BDI Models for Agent Architectures Based on Lukasiewicz Logic and Propositional Dynamic Logic. In: International Conference on Web Information Systems and Mining, Springer, Berlin, 439-450.
|
|
[20]
|
Jiang, M., Qiu, L., Huang, Z. and Yen, G.G. (2018) Dynamic Multi-Objective Estimation of Distribution Algorithm Based on Domain Adaptation and Nonparametric Estimation. Information Sciences, 435, 203-223. [Google Scholar] [CrossRef]
|