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[21]基于深度神经网络的儿科临床辅助决策算法.中国数字医学,第13卷(第11期):32-34.
[22]CLB.INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging.ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023,2023,673-683.
[23]CLB.A Data-Driven Context-Aware Health Inference System for Children during School Closures.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,2023,7(1):
[24]CLB.Mining High-Value Patents Leveraging Massive Patent Data.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),13777 LNCS691-706.
[25]CLB.INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging.arXiv,2023,
[26]Shen Qu,CLB.A Machine Learning-Based Risk Prediction Model for Post-Traumatic Stress Disorder during the COVID-19 Pandemic.MEDICINA-LITHUANIA,2021,58(12):
[27]CLB.Risk detection of clinical medication based on knowledge graph reasoning.CCF Transactions on Pervasive Computing and Interaction,
[28]CLB.Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021,1-11.
[29]CLB,Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2021,1-15.
[30]CLB,GoComfort: Comfortable Navigation for Autonomous Vehicles Leveraging High-Precision Road Damage Crowdsensing.IEEE Transactions on Mobile Computing,22(11):1-18.
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