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Machine Learning Based Approaches for Sex Identification in Bioarchaeology.

, , , и . SYNASC, стр. 311-314. IEEE, (2016)

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Lucia Diana Paul

Mahmud Dianati

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Source-Code Embedding-Based Software Defect Prediction., и . ICSOFT, стр. 185-196. SCITEPRESS, (2023)New Conceptual Cohesion Metrics: Assessment for Software Defect Prediction.. SYNASC, стр. 163-170. IEEE, (2021)A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks., , и . Inf. Sci., (2018)An analysis of aggregated coupling's suitability for software defect prediction., и . SYNASC, стр. 141-148. IEEE, (2020)An Improved Approach to Software Defect Prediction using a Hybrid Machine Learning Model.. SYNASC, стр. 443-448. IEEE, (2018)Instance based learning approaches for predicting the height of human skeletons., , , и . ICCP, стр. 309-316. IEEE, (2015)Machine Learning Based Approaches for Sex Identification in Bioarchaeology., , , и . SYNASC, стр. 311-314. IEEE, (2016)An aggregated coupling measure for the analysis of object-oriented software systems., , , и . J. Syst. Softw., (2019)A new incremental relational association rules mining approach., , и . KES, том 126 из Procedia Computer Science, стр. 126-135. Elsevier, (2018)Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code., и . KSEM (1), том 11775 из Lecture Notes in Computer Science, стр. 262-274. Springer, (2019)