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ATPP: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes.

, , , and . DCOSS, page 83-91. IEEE, (2021)

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A complementing preference based method for location recommendation with cellular data., , , and . Knowl. Based Syst., (2019)Romou: rapidly generate high-performance tensor kernels for mobile GPUs., , , , , , and . MobiCom, page 487-500. ACM, (2022)DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction., , , , and . IEEE Trans. Mob. Comput., 22 (2): 824-840 (2023)Adaptable Switch: A Heterogeneous Switch Architecture for Network-Centric Computing., , , , and . IEEE Commun. Mag., 58 (12): 64-69 (2020)A Hybrid of Deep Reinforcement Learning and Local Search for the Vehicle Routing Problems., , , and . IEEE Trans. Intell. Transp. Syst., 22 (11): 7208-7218 (2021)Label Propagation with α-Degree Neighborhood Impact for Network Community Detection., , , , , and . Comput. Intell. Neurosci., (2014)Collision avoidance in an agent system for crowd simulation., , and . CASE, page 1380-1385. IEEE, (2017)City Metro Network Expansion with Reinforcement Learning., , , , and . KDD, page 2646-2656. ACM, (2020)ATPP: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes., , , and . DCOSS, page 83-91. IEEE, (2021)DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data., , , , , and . IEEE Trans. Knowl. Data Eng., 36 (10): 5120-5137 (October 2024)