PDF Publication Title:
Text from PDF Page: 161
[5] M. Garcia et al., "A QoE Management System for Ubiquitous IPTV Devices," 2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Sliema, 2009, pp. 147-152. [6] Y. Chen, K. Wu and Q. Zhang, "From QoS to QoE: A Tutorial on Video Quality Assessment," IEEE Communications Surveys & Tutorials, vol. 17, no. 2, 2015, pp. 1126- 1165. [7] V. Menkovski, G. Exarchakos and A. Liotta, "Machine Learning Approach for Quality of Experience Aware Networks," 2010 International Conference on Intelligent Networking and Collaborative Systems, Thessaloniki, 2010, pp. 461-466. [8] S. Aroussi, A. Mellouk, "Survey on machine learning-based QoE-QoS correlation models," 2014 International Conference on Computing, Management and Telecommunications (ComManTel), Da Nang, 2014, pp. 200-204. [9] A. Balachandran et al., “Developing a predictive model of quality of experience for internet video,” Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM (SIGCOMM '13). ACM, New York, NY, USA, 2013, pp. 339-350. [10] C. G. Bampis, A. C. Bovik, “Learning to Predict Streaming Video QoE: Distortions, Rebuffering and Memory,” arXiv:1703.00633 [cs.MM], 2017. [11] W. Rawat, Z. Wang, “Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review,” Neural Computation, vol. 29, no. 9, 2017, pp. 2352–2449. [12] Z. C. Lipton, J. Berkowitz, and C. Elkan, “A Critical Review of Recurrent Neural Networks for Sequence Learning,” arXiv:1506.00019 [cs.LG], 2015. [13] C. K. I. Williams, D. Barber, "Bayesian classification with Gaussian processes," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 12, 1998, pp. 1342-1351. [14] S. Hochreiter, J. Schmidhuber, “Long Short-Term Memory”, Neural Computation,” vol. 9, no. 8, 1997, pp. 1735–1780. [15] M. Lopez-Martin et al., "Network Traffic Classifier with Convolutional and Recurrent Neural Networks for Internet of Things," IEEE Access, vol. 5, 2017, pp. 18042-18050. BIOGRAPHIES MANUEL LOPEZ-MARTIN [M’91, SM’12] (mlopezm@ieee.org) is a research associate and Ph.D. candidate at Universidad de Valladolid (Spain). His research activities include the application of machine learning models to data networks. He received his M.Sc. in Telecommunications Engineering in 1985 from UPM-Madrid and his M.Sc. in Computer Sciences in 2013 from UAM-Madrid. He has worked as data-scientist at Telefonica and has more than 25 years of experience in the development of IT software projects. BELEN CARRO (belcar@tel.uva.es) received a Ph.D. degree in the field of broadband access networks from the Universidad de Valladolid, Spain, in 2001. She is Professor and Director of the Communications Systems and Networks (SRC) laboratory at Universidad de Valladolid, working as Research Manager in NGN communications and services, VoIP/QoS and machine learning. She has supervised a dozen Ph.D. students and has extensive research publications experience, as author, reviewer and editor. JAIME LLORET [M’07, SM’10] (jlloret@dcom.upv.es) received his M.Sc. in Physics in 1997, his M.Sc. in Electronic Engineering in 2003 and his Ph.D. in telecommunication engineering in 2006. He is Associate Professor at the UPV and Chair of the Research Institute IGIC. He has authored more than 450 research papers and book chapters. He is EiC of the “Ad Doctoral Thesis: Novel applications of Machine Learning to NTAP - 159PDF Image | Novel applications of Machine Learning to Network Traffic Analysis
PDF Search Title:
Novel applications of Machine Learning to Network Traffic AnalysisOriginal File Name Searched:
456453_1175348.pdfDIY PDF Search: Google It | Yahoo | Bing
Cruise Ship Reviews | Luxury Resort | Jet | Yacht | and Travel Tech More Info
Cruising Review Topics and Articles More Info
Software based on Filemaker for the travel industry More Info
The Burgenstock Resort: Reviews on CruisingReview website... More Info
Resort Reviews: World Class resorts... More Info
The Riffelalp Resort: Reviews on CruisingReview website... More Info
CONTACT TEL: 608-238-6001 Email: greg@cruisingreview.com (Standard Web Page)