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The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches.

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Research on Infrared Methane Detecting System Based on Support Vector Machines Used in Mine., , , and . ISCID (2), page 450-453. IEEE Computer Society, (2009)Research on Application of Wax Deposition Detection in the Nonmetallic Pipeline Based on Electrical Capacitance Tomography., , , and . J. Sensors, (2016)You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems., , , , , and . CoRR, (2018)D&C: A Divide-and-Conquer Approach to IR-based Bug Localization., , , , , , and . CoRR, (2019)Deep Pattern Mining for Program Repair.. University of Luxembourg, Luxembourg City, Luxembourg, (2019)base-search.net (ftunivluxembourg:oai:orbilu.uni.lu:10993/41348).A Novel Mobile Data Collection Algorithm for Wireless Sensor Networks., , and . Ad Hoc Sens. Wirel. Networks, 36 (1-4): 285-311 (2017)Multi-target Interactive Neural Network for Automated Segmentation of the Hippocampus in Magnetic Resonance Imaging., , , and . Cogn. Comput., 11 (5): 630-643 (2019)Smart DAG Task Scheduling with Efficient Pruning-Based MCTS Method., , , and . ISPA/BDCloud/SocialCom/SustainCom, page 348-355. IEEE, (2019)The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches., , , , , , , , , and . CoRR, (2022)App Review Driven Collaborative Bug Finding., , , , , and . CoRR, (2023)