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MSLPNet: multi-scale location perception network for dental panoramic X-ray image segmentation., , , , , , , and . Neural Comput. Appl., 33 (16): 10277-10291 (2021)DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems., , , , , , and . CoRR, (2018)Less training, more repairing please: revisiting automated program repair via zero-shot learning., and . ESEC/SIGSOFT FSE, page 959-971. ACM, (2022)Optimizing test prioritization via test distribution analysis., , , , , , and . ESEC/SIGSOFT FSE, page 656-667. ACM, (2018)Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models., , , , and . ISSTA, page 423-435. ACM, (2023)Fuzzing Automatic Differentiation in Deep-Learning Libraries., , , , , and . ICSE, page 1174-1186. IEEE, (2023)One Fuzzing Strategy to Rule Them All., , , , , , and . ICSE, page 1634-1645. ACM, (2022)Defexts: a curated dataset of reproducible real-world bugs for modern JVM languages., , and . ICSE (Companion Volume), page 47-50. IEEE / ACM, (2019)On the Effectiveness of Unified Debugging: An Extensive Study on 16 Program Repair Systems., , , and . ASE, page 907-918. IEEE, (2020)Learning to Construct Better Mutation Faults., , , , and . ASE, page 64:1-64:13. ACM, (2022)