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Machine Learning Applications in Cable TV Advertising: Usage and Challenges
By Srilal M Weerasinghe PhD, Charter Communications
2019
MLaaS Applications in Digital Video: Supplanting Disliked Content
By Srilal Weerasinghe PhD, Charter Communications
2020
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
2016
Scaling IP Advertising Using Manifest Manipulation
By Vipul Patel, Charter Communications; Xavier Denis, CommScope
2019
Operational Transformation Via Machine Learning
By Shamil Assylbekov, PhD. & Devin Levy, Charter Communications
2018
Cable and Mobile Convergence: A Vision from the Cable Communities Around the World
By Jennifer Andréoli-Fang, PhD, CableLabs; John T. Chapman, Ian Campbell, & Mark Grayson, Cisco; Ahmed Bencheikh, Praveen Srivastava & Vikas Sarawat, Charter Communications; Drew Davis & Paul Blaser, Cox Communications; Damian Poltz & Dave Morley, Shaw Communications; Eduardo Panciera, Telecom Argentina; Philippe Perron, Sylvain Archambault, Eric Menu, Géraldine Trouillard & David Lagacé, Videotron; Gavin Young & Bruno Cornaglia, Vodafone
2020
Detecting Video Piracy with Machine Learning
By Matthew Tooley & Thomas Belford, NCTA – The Internet & Television Assocation
2019
Terahertz Spectrum: Challenges, Potential And Applications
By Lakhbir Singh, Charter Communications
2021
New Generation Data Governance for Charter Network:1
By Jay Liew, Mark Teflian, Bruce Bacon, Jay Brophy & Randy Pettus, Charter Communications
2019
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
2017
Network Capacity and Machine Learning
By Dr. Claudio Righetti, Emilia Gibellini, Florencia De Arca, Carlos Germán Carreño Romano, Mariela Fiorenzo, Gabriel Carro & Fernando Rodrigo Ochoa, Cablevisión S.A.
2017
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
2016
Using SCTE 224 To Increase Advertising Revenue
By Gregg Brown. Stuart Kurkowski, PhD & Neill Kipp, Comcast Technology Solutions
2021
Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
2019
Operationalizing Streaming Telemetry and Machine Learning Model Serving: Customer Experience Automation
By Nick Pinckernell & Scott Rome, Comcast
2020
Right Technician at the Right Time: Using Machine Learning to Predict Network Maintenance Issues
By Anastasia Vishnyakova, Rama Mahajanam, Mike O’Dell, May Merkle-Tan, Catherine Hay & Lisa Pham, Comcast Cable
2021
Toward Automated Intelligent Resource Optimization for vCMTS Using Machine Learning
By Kieran Mulqueen, Michael O’Hanlon, Marcin Spoczynski, Brendan Ryan, Thijs Metsch, Leonard Feehan & Ruth Quinn, Intel
2018
Embracing Service Delivery Changes with Machine Learning
By Andrew Sundelin, Guavus, Inc.
2018
Improving Pedestrian Safety using Computer Vision, Machine Learning and Data Analytics
By Parmjit Dhillon, Mohamed Daoud & Hossam Hmimy, Charter Communications Inc.
2021
Communications Applications Of Fiber Optics
By Dr. W. M. Caton, TRW Defense and Space Systems & Dr. D. J. Albares, Naval Electronics Laboratory Center
1976