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Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs.

, , , , and . J. Chem. Inf. Model., 62 (24): 6398-6410 (2022)

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Intra-domain and cross-domain transfer learning for time series data - How transferable are the features?, , , , , and . Knowl. Based Syst., (2022)Assessing the Impact of Untraceable Bugs on the Quality of Software Defect Prediction Datasets., and . SQAMIA, volume 1677 of CEUR Workshop Proceedings, page 47-56. CEUR-WS.org, (2016)Rotation Forest in Software Defect Prediction., , , and . SQAMIA, volume 1375 of CEUR Workshop Proceedings, page 35-43. CEUR-WS.org, (2015)Adapting God Class thresholds for software defect prediction: A case study., , , and . MIPRO, page 1537-1542. IEEE, (2019)Using string similarity metrics for automated grading of SQL statements., and . MIPRO, page 1250-1255. IEEE, (2015)Hill Climbing and simulated annealing in large scale next release problem., , , and . EUROCON, page 452-459. IEEE, (2013)On the distribution of software faults in evolution of complex systems., and . SiSoS@ECSA, page 2:1-2:7. ACM, (2016)Relationship Between Design and Defects for Software in Evolution., , , and . SQAMIA, volume 1938 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Data Storage and Analysis system for conducting Biotechnological Experiments., , , and . MIPRO, page 470-475. IEEE, (2015)Software defect prediction with Bug-Code analyzer - A data collection tool demo., , and . SoftCOM, page 425-426. IEEE, (2014)