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Learning Heterogeneous Hidden Markov Random Fields.

, , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 576-584. JMLR.org, (2014)

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A collective ranking method for genome-wide association studies., , , and . BCB, page 313-320. ACM, (2012)Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer., , , , , and . J. Digital Imaging, 23 (5): 554-561 (2010)Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants., , , , , , , , , and . AMIA, AMIA, (2018)View Learning for Statistical Relational Learning: With an Application to Mammography., , , , , , and . IJCAI, page 677-683. Professional Book Center, (2005)Support Vector Machines for Differential Prediction., , , , , and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 50-65. Springer, (2014)Using machine learning to identify benign cases with non-definitive biopsy., , , , , , , and . Healthcom, page 283-285. IEEE, (2013)Predicting malignancy from mammography findings and image-guided core biopsies., , , , and . IJDMB, 11 (3): 257-276 (2015)Fluorescence Spectroscopy: An Adjunct Diagnostic Tool to Image-Guided Core Needle Biopsy of the Breast., , , , , , and . IEEE Trans. Biomed. Eng., 56 (10): 2518-2528 (2009)Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies., , , , , and . UAI, page 511-522. AUAI Press, (2012)Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls., , , , , and . IWBI, volume 10718 of SPIE Proceedings, page 1071820. SPIE, (2018)