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Exploiting User Context and Network Information for Mobile Application Usage Prediction.

, , , and . HOTPOST@MobiHoc, page 25-30. ACM, (2015)

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Game Theoretic Resource Planning and Request Scheduling in Mobile Edge Computing Networks., , , , and . IFIP Networking, page 1-9. IEEE, (2023)Comparison Lift: Bandit-based Experimentation System for Online Advertising., , , , , and . AAAI, page 15117-15126. AAAI Press, (2021)Attacks and Solutions of a Mutual Authentication with Anonymity for Roaming Service with Smart Cards in Wireless Communications., , , , and . ICGEC, volume 579 of Advances in Intelligent Systems and Computing, page 191-198. Springer, (2017)Greedy-Ant: Ant Colony System-Inspired Workflow Scheduling for Heterogeneous Computing., , and . IEEE Access, (2017)Exploiting User Context and Network Information for Mobile Application Usage Prediction., , , and . HOTPOST@MobiHoc, page 25-30. ACM, (2015)How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving., , , , and . Mob. Inf. Syst., (2016)Reinforcement Learning Driven Adaptive VR Streaming with Optical Flow Based QoE., , , and . INDIN, page 231-236. IEEE, (2020)Challenges Towards Modeling and Generating Infrastructure-as-Code., , , and . ICPE (Companion), page 189-193. ACM, (2023)Joint Network Slicing and Mobile Edge Computing in 5G Networks., , , and . ICC, page 1-7. IEEE, (2019)Exploring mobile data on smartphones from collection to analysis., , , , and . ICT, page 452-456. IEEE, (2014)