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4th international workshop on predictor models in SE (PROMISE 2008).

, , , and . ICSE Companion, page 1061-1062. ACM, (2008)978-1-60558-079-1.

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From software engineer to day trader in 3 easy steps: a comparison of software engineering (SE) data mining with financial data mining.. PROMISE, page 14. ACM, (2009)Engineering Financial Engineering.. CIFEr, page 231-238. IEEE, (2014)Improving Credibility of Machine Learner Models in Software Engineering. Advances in Machine Learning Applications in Software Engineering, chapter 3, Idea Group Publishing, (October 2006)The assessment and application of lineage information in genetic programs for producing better models., and . IRI, page 141-146. IEEE Systems, Man, and Cybernetics Society, (2006)Assessing the Reliability of a Human Estimator., and . PROMISE@ICSE, page 5. IEEE Computer Society, (2007)Optimizing lineage information in genetic algorithms for producing superior models., and . IRI, page 314-318. IEEE Systems, Man, and Cybernetics Society, (2008)When Will It Be Done? Machine Learner Answers to the 300-Billion-Dollar Question.. IEEE Intelligent Systems, 18 (3): 48-50 (2003)Using correlation and accuracy for identifying good estimators., and . PROMISE@ICSE, page 33-38. ACM, (2008)4th international workshop on predictor models in SE (PROMISE 2008)., , , and . ICSE Companion, page 1061-1062. ACM, (2008)978-1-60558-079-1.A Neural Net-Based Approach to Software Metrics., , and . SEKE, page 271-274. Knowledge Systems Institute, (1993)