T. Spetebroot, S. Afra, N. Aguilera, D. Saucez, and C. Barakat, From network-level measurements to expected quality of experience: The Skype use case, 2015 IEEE International Workshop on Measurements & Networking (M&N), p.2015, 2015.
DOI : 10.1109/IWMN.2015.7322989

URL : https://hal.archives-ouvertes.fr/hal-01071373

X. Yin, A. Jindal, V. Sekar, and B. Sinopoli, A control-theoretic approach for dynamic adaptive video streaming over http, Proceedings of ACM SIGCOMM, pp.325-338, 2015.
DOI : 10.1145/2829988.2787486

A. Balachandran, V. Sekar, A. Akella, S. Seshan, I. Stoica et al., Developing a predictive model of quality of experience for internet video, Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM, pp.339-350, 2013.

M. Z. Shafiq, J. Erman, L. Ji, A. X. Liu, J. Pang et al., Understanding the impact of network dynamics on mobile video user engagement, The 2014 ACM Int'l Conference on Measurement and Modeling of Computer Systems, pp.367-379, 2014.

G. Dimopoulos, I. Leontiadis, P. Barlet-ros, and K. Papagiannaki, Measuring Video QoE from Encrypted Traffic, Proceedings of the 2016 ACM on Internet Measurement Conference, IMC '16, pp.513-526, 2016.
DOI : 10.1145/2534169.2486025

J. Jiang, V. Sekar, H. Milner, D. Shepherd, I. Stoica et al., CFA: A practical prediction system for video qoe optimization, 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16, 2016.

B. Settles, Active learning literature survey, 2010.

M. J. Khokhar, N. A. Saber, T. Spetebroot, and C. Barakat, On Active Sampling of Controlled Experiments for QoE Modeling, Proceedings of the Workshop on QoE-based Analysis and Management of Data Communication Networks , Internet QoE '17, pp.31-36, 2017.
DOI : 10.1109/CVPR.2014.541

URL : https://hal.archives-ouvertes.fr/hal-01525723

B. C. Wallace, K. Small, C. E. Brodley, and T. A. Trikalinos, Active learning for biomedical citation screening, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '10, pp.173-182, 2010.
DOI : 10.1145/1835804.1835829

J. Zhu, H. Wang, E. Hovy, and M. Ma, Confidence-based stopping criteria for active learning for data annotation, ACM Transactions on Speech and Language Processing, vol.6, issue.3, pp.1-3, 2010.
DOI : 10.1145/1753783.1753784

URL : http://www.isi.edu/natural-language/people/hovy/papers/10ACMjournal-activelearning-stopping.pdf

T. Hoßfeld, R. Schatz, E. Biersack, and L. Plissonneau, Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience, pp.264-301, 2013.
DOI : 10.1007/978-3-642-36784-7_11