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 |
Machine Learning Applications in Cable TV Advertising: Usage and Challenges
By Srilal M Weerasinghe PhD, Charter Communications
|
2019 |
The New Explosion of Social Engineering: Defensive Techniques to Manage the Risk
By Abdul Saleem, Comcast India Engineering Center; Poornasakthi Sivaraman, Comcast India Engineering Center
|
2023 |
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
|
2017 |
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
|
2016 |
Hybrid Fiber Coaxial (HFC) Spectrum Efficiency and Quality - Systematically Evolving Networks using Profile Management Platform (PMA)
By Jay Liew, Charter Communications
|
2022 |
Impacts of Legacy and Next Generation Cooling Technologies on Power Demands and Environmental, Social and Governance Strategies
By John Dolan, Rogers Communications Canada; Arnold Murphy, SCTi; Michael Glaser, Cox Communications; Allison Richards, Charter Communications; Ken Nickel, Quest Controls, Inc.; John Teague, Worldwide Environmental Services
|
2022 |
Operational Transformation Via Machine Learning
By Shamil Assylbekov, PhD. & Devin Levy, Charter Communications
|
2018 |
How to Cook a Duck: The Importance of M-Learning
By Fernando Durman, Telecom SA; Damián Aguilar Cogan, Telecom SA
|
2023 |
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
|
2016 |
From Support Calls to Insights - Using Automatic Speech Recognition and Natural Language Processing to Drive Product Roadmaps
By Jing Qing, Veronica Bloom, Michael Addonisio, Christy Gearheart; Charter Communications
|
2022 |
Social Networking Applications For Cable
By Frank Sandoval
|
2011 |
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 |
Computer-Aided CATV System Design
By Richard L. Amell, Cox Cable Communications, Inc.
|
1979 |
Using Cable TV's Hybrid Fiber Coax (HFC) Infrastructure for Data Communications
By Rouzbeh Yassini, LANcity Corporation
|
1995 |
Using Machine Learning to Automate Node Split Designs and HFC Augmentation Options
By Keith R. Hayes, IMMCO, Inc.
|
2020 |
From CSP To DSP: Is the COVID-19 Crisis a Partner or Another Steppingstone?
By Javier Ger, Telecom Argentina; Claudio Saes, Bell Labs Consulting
|
2020 |
Encourage EVERY Employee to Learn and Utilize Data, Analytics, and Machine Learning (DAML)
By Robert Gray Wald, MS, SCTE® a subsidiary of CableLabs®
|
2022 |
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 |
Offloading Data Using Unlicensed LTE
By Loay Kreishan, Charter Communications
|
2019 |
