[1] |
Wong K, Patzelt M, Poulette B, Hathaway R. Scenario-based learning in a MOOC specialization capstone on software product management. In: Proceedings of the IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C). Buenos Aires, Argentina: IEEE, 2017. 317-318 https://www.researchgate.net/publication/318123881_Scenario-Based_Learning_in_a_MOOC_Specialization_Capstone_on_Software_Product_Management |
[2] |
Staubitz T, Willems C, Hagedorn C, Meinel C. The gamification of a MOOC platform. In: Proceedings of the 2017 IEEE Global Engineering Education Conference (EDUCON). Athens, Greece: IEEE, 2017. 383-892 http://www.researchgate.net/publication/316790928_The_Gamification_of_a_MOOC_Platform |
[3] |
Lei C U, Yeung Y C A, Kwok T T O, Lau R, Ang A. Leveraging videos and forums for small-class learning experience in a MOOC environment. In: Proceedings of the 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). Bangkok, Thailand: IEEE, 2016. 409-411 |
[4] |
Luo H, Millet A, Alley R, Zuo M. Dealing with ethical issues in MOOC design and delivery: a case study. In: Proceedings of the 2016 Blended Learning: Aligning Theory with Practices. ICBL 2016. Lecture Notes in Computer Science, vol. 9757. Cham, Switzerland: Springer, 2016. 128-138 doi: 10.1007/978-3-319-41165-1_12 |
[5] |
Kearney R C, Premaraj S, Smith B M, Olson G W, Williamson A E, Romanos G. Massive open online courses in dental education: two viewpoints: viewpoint 1: massive open online courses offer transformative technology for dental education and viewpoint 2: massive open online courses are not ready for primetime. Journal of Dental Education, 2016, 80(2): 121-127 http://cn.bing.com/academic/profile?id=1df6bb18edbf1e3bbb7a357ca961c6b1&encoded=0&v=paper_preview&mkt=zh-cn |
[6] |
Brinton C G, Buccapatnam S, Wong F M F, Chiang M, Poor H V. Social learning networks: efficiency optimization for MOOC forums. In: Proceedings of the IEEE INFOCOM 2016 — The 35th Annual IEEE International Conference on Computer Communications. San Francisco, USA: IEEE, 2016. 1-9 http://ieeexplore.ieee.org/document/7524579/ |
[7] |
Jaouedi N, Boujnah N, Htiwich O, Bouhlel M S. Human action recognition to human behavior analysis. In: Proceedings of the 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT). Hammamet, Tunisia: IEEE, 2016. 263-266 http://ieeexplore.ieee.org/abstract/document/7939877/ |
[8] |
Xiao B, Georgiou P, Baucom B, Narayanan S S. Head motion modeling for human behavior analysis in dyadic interaction. IEEE Transactions on Multimedia, 2015, 17(7): 1107-1119 doi: 10.1109/TMM.2015.2432671 |
[9] |
Tsai H C, Chuang C H, Tseng S P, Wang J F. The optical flow-based analysis of human behavior-specific system. In: Proceedings of the 1st International Conference on Orange Technologies (ICOT). Tainan, China: IEEE, 2013. 214-218 http://ieeexplore.ieee.org/document/6521195/ |
[10] |
Batchuluun G, Kim J H, Hong H G, Kang J K, Park K R. Fuzzy system based human behavior recognition by combining behavior prediction and recognition. Expert Systems with Applications, 2017, 81: 108-133 doi: 10.1016/j.eswa.2017.03.052 |
[11] |
Alonso J B, Cabrera J, Travieso C M, López-de-Ipiña K. First approach to continuous tracking of emotional temperature. In: Proceedings of the 4th International Work Conference on Bioinspired Intelligence (IWOBI). San Sebastian, Spain: IEEE, 2015. 177-184 http://ieeexplore.ieee.org/document/7160163/ |
[12] |
Hwang K A, Yang C H. Attentiveness assessment in learning based on fuzzy logic analysis. Expert Systems with Applications, 2009, 36(3): 6261-6265 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=CC025018788 |
[13] |
Durucan E, Ebrahimi T. Moving object detection between multiple and color images. In: Proceedings of the 2013 IEEE Conference on Advanced Video and Signal Based Surveillance. Miami, FL, USA: IEEE, 2003. 243-251 http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=1217928 |
[14] |
Hu M J, Liu Z, Zhang J Y, Zhang G J. Robust object tracking via multi-cue fusion. Signal Processing, 2017, 139: 86-95 http://cn.bing.com/academic/profile?id=90bbb8ab657b7b82722022921f518324&encoded=0&v=paper_preview&mkt=zh-cn |
[15] |
Zhang P, Zhuo T, Huang W, Chen K L, Kankanhalli M. Online object tracking based on CNN with spatial-temporal saliency guided sampling. Neurocomputing, 2017, 257: 115-127 doi: 10.1016/j.neucom.2016.10.073 |
[16] |
Bilge Y C, Kaya F, Cinbis N İ, Celikcan U, Sever H. Anomaly detection using improved background subtraction. In: Proceedings of the 25th Signal Processing and Communications Applications Conference (SIU). Antalya, Turkey: IEEE, 2017. 1-4 http://ieeexplore.ieee.org/document/7960592/ |
[17] |
Elyounsi A, Tlijani H, Bouhlel M S. Shape detection by mathematical morphology techniques for radar target classification. In: Proceedings of the 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). Sousse, Tunisia: IEEE, 2016. 352-356 https://ieeexplore.ieee.org/document/7952078/ |
[18] |
Shi X S, Huang Y J, Liu Y G. Text on Oracle rubbing segmentation method based on connected domain. In: Proceedings of the 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference. Xi'an, China: IEEE, 2016. 414-418 http://ieeexplore.ieee.org/abstract/document/7867245/ |
[19] |
Shi H B, Yang S Y, Cao Z L, Pan W, Li W H. An improved evidence combination method of D-S theory. In: Proceedings of the 2016 International Symposium on Computer, Consumer and Control. Xi'an, China: IEEE, 2016. 319-322 http://ieeexplore.ieee.org/document/7545200/ |
[20] |
Chu Q, Ouyang W L, Li H S, Wang X G, Liu B, Yu N H. Online multi-object tracking using CNN-based single object tracker with spatial-temporal attention mechanism. In: Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV). Venice, Italy: IEEE. 2017. 4846-4855 |