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An Integrated Approach to Learning Bayesian Networks of Rules.

, , , , and . ECML, volume 3720 of Lecture Notes in Computer Science, page 84-95. Springer, (2005)

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A collective ranking method for genome-wide association studies., , , and . BCB, page 313-320. ACM, (2012)Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants., , , , , , , , , and . AMIA, AMIA, (2018)Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls., , , , , and . IWBI, volume 10718 of SPIE Proceedings, page 1071820. SPIE, (2018)Boosting First-Order Clauses for Large, Skewed Data Sets., , and . ILP, volume 5989 of Lecture Notes in Computer Science, page 166-177. Springer, (2009)Using machine learning to identify benign cases with non-definitive biopsy., , , , , , , and . Healthcom, page 283-285. IEEE, (2013)Support Vector Machines for Differential Prediction., , , , , and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 50-65. Springer, (2014)Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies., , , , , and . UAI, page 511-522. AUAI Press, (2012)Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms., , , , , , , and . AMIA, AMIA, (2013)Using Multidimensional Mutual Information to Prioritize Mammographic Features for Breast Cancer Diagnosis., , and . AMIA, AMIA, (2013)View Learning for Statistical Relational Learning: With an Application to Mammography., , , , , , and . IJCAI, page 677-683. Professional Book Center, (2005)