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Mining heterogeneous causal effects for personalized cancer treatment.

, , , , and . Bioinform., 33 (15): 2372-2378 (2017)

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Multi-Instance Learning with Distribution Change., and . AAAI, page 2184-2190. AAAI Press, (2014)A new design of the continual reassessment method., , and . Commun. Stat. Simul. Comput., 50 (7): 2015-2024 (2021)Imbalanced volunteer engagement in cultural heritage crowdsourcing: a task-related exploration based on causal inference., , , and . Inf. Process. Manag., 59 (5): 103027 (2022)RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (6): 6290-6304 (June 2023)Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation., , , , , , and . ICDM, page 348-357. IEEE, (2022)Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections., , , , , and . KDD, page 4852-4861. ACM, (2023)A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation., , and . KDD, page 4346-4356. ACM, (2023)Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction., , , , and . AAAI, page 1186-1193. AAAI Press, (2020)A revisit-based mixed-initiative nested classification scheme for Unmanned Aerial Vehicles., , , and . ACC, page 1793-1798. IEEE, (2014)Review-driven configuration scheme evaluation methodology with configuration interaction effects., , , and . Adv. Eng. Informatics, (April 2023)