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Learning contextual dissimilarity on tensor product graph for visual re-ranking., , and . Image Vis. Comput., (2018)Empirical Studies of a Two-Stage Data Preprocessing Approach for Software Fault Prediction., , , , , and . IEEE Trans. Reliab., 65 (1): 38-53 (2016)Improving Machine Learning-Based Code Smell Detection via Hyper-Parameter Optimization., , , , and . APSEC, page 276-285. IEEE, (2020)A Two-Stage Data Preprocessing Approach for Software Fault Prediction., , , , , and . SERE, page 20-29. IEEE, (2014)FECS: A Cluster Based Feature Selection Method for Software Fault Prediction with Noises., , , , and . COMPSAC, page 276-281. IEEE Computer Society, (2015)S2 LMMD: Cross-Project Software Defect Prediction via Statement Semantic Learning and Maximum Mean Discrepancy., , , , , and . APSEC, page 369-379. IEEE, (2021)SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation., , , , , , and . Inf. Softw. Technol., (2024)A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction., , , , , and . J. Comput. Sci. Technol., 32 (6): 1090-1107 (2017)FECAR: A Feature Selection Framework for Software Defect Prediction., , , , , and . COMPSAC, page 426-435. IEEE Computer Society, (2014)Improving Shape Retrieval by Fusing Generalized Mean First-Passage Time., , and . ICONIP (4), volume 10637 of Lecture Notes in Computer Science, page 439-448. Springer, (2017)