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 |
Scaling IP Advertising Using Manifest Manipulation
By Vipul Patel, Charter Communications; Xavier Denis, CommScope
|
2019 |
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
|
2016 |
Explainable AI for Data Clean Room Query Validation
By Srilal Weera PhD, Charter Communications
|
2022 |
Best Practices for A/B Testing Machine Learning Models
By Piper Williams, Charter Communications; Ryan Lewis, Charter Communications; Miranda Kroehl, Charter Communications; Veronica Bloom, Charter Communications; Brock Bose, Charter Communications
|
2023 |
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 |
Operational Transformation Via Machine Learning
By Shamil Assylbekov, PhD. & Devin Levy, Charter Communications
|
2018 |
Leveraging Machine Learning for Network Traffic Forecasting
By Diane Prisca Onguetou, PhD, Independent Consultant; Achintha Maddumabandara, Rogers Communications; Jeffrey Lee, Rogers Communications
|
2023 |
Detecting Video Piracy with Machine Learning
By Matthew Tooley & Thomas Belford, NCTA – The Internet & Television Assocation
|
2019 |
Exploring the Benefits of Network Intelligence Applications to Optimize HFC Networks Using a Data-Driven Design Approach
By Diana Linton, Charter Communications; Esteban Sandino, Charter Communications; Nader Foroughi, Technetix Inc.; Keith Auzenne, Charter Communications; Premton Bogaj, Technetix Inc.
|
2023 |
Terahertz Spectrum: Challenges, Potential And Applications
By Lakhbir Singh, Charter Communications
|
2021 |
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 |
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 |
Using SCTE 224 To Increase Advertising Revenue
By Gregg Brown. Stuart Kurkowski, PhD & Neill Kipp, Comcast Technology Solutions
|
2021 |
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
|
2016 |
How to Cook a Duck: The Importance of M-Learning
By Fernando Durman, Telecom SA; Damián Aguilar Cogan, Telecom SA
|
2023 |
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 |
Encourage EVERY Employee to Learn and Utilize Data, Analytics, and Machine Learning (DAML)
By Robert Gray Wald, MS, SCTE® a subsidiary of CableLabs®
|
2022 |
