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Boundary sampling to boost mutation testing for deep learning models.

, , , , , , и . Inf. Softw. Technol., (2021)

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Yanhui Wang

Li Li

Li Li

Li Li

Li Li

 

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Refined Approximation of Concepts in Ontology., , , , и . AI*IA, том 3673 из Lecture Notes in Computer Science, стр. 82-85. Springer, (2005)Variable Admittance Control for Robotic Contact Force Tracking in Dynamic Environment Based on Reinforcement Learning., , , , и . RCAR, стр. 180-185. IEEE, (2022)Back Deduction Based Testing for Word Sense Disambiguation Ability of Machine Translation Systems., , , , , и . ISSTA, стр. 601-613. ACM, (2023)Novel Algorithm for Distortion Correction of Image Intensifier in X-ray Angiography System., , , и . BMEI (2), стр. 203-207. IEEE Computer Society, (2008)978-0-7695-3118-2.Boundary sampling to boost mutation testing for deep learning models., , , , , , и . Inf. Softw. Technol., (2021)A Family of Extended Fuzzy Description Logics., , , , и . COMPSAC (1), стр. 221-226. IEEE Computer Society, (2005)A Framework of Checking Subsumption Relations Between Composite Concepts in Different Ontologies., , , , и . KES (1), том 3681 из Lecture Notes in Computer Science, стр. 953-959. Springer, (2005)Mapping Fuzzy Concepts Between Fuzzy Ontologies., , , , и . KES (3), том 3683 из Lecture Notes in Computer Science, стр. 199-205. Springer, (2005)Could We Predict the Result of a Continuous Integration Build? An Empirical Study., и . QRS Companion, стр. 311-315. IEEE, (2017)Connecting software metrics across versions to predict defects., , , , и . SANER, стр. 232-243. IEEE Computer Society, (2018)