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Interpretable models to predict Breast Cancer.

P. Ferreira, I. Dutra, R. Salvini, and E. Burnside. BIBM, page 1507-1511. IEEE Computer Society, (2016)

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Elizabeth Wainwright

Elizabeth Karema

Elizabeth Mukidjam

Elizabeth Cudjoe

Elizabeth Pilgramm

Other publications of authors with the same name

A collective ranking method for genome-wide association studies.J. Liu, E. Burnside, H. Vidaillet, and D. Page. BCB, page 313-320. ACM, (2012)Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.S. Feld, K. Woo, R. Alexandridis, Y. Wu, J. Liu, P. Peissig, A. Onitilo, J. Cox, D. Page, and E. Burnside. AMIA, AMIA, (2018)Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies.J. Liu, C. Zhang, C. McCarty, P. Peissig, E. Burnside, and D. Page. UAI, page 511-522. AUAI Press, (2012)Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls.L. Salkowski, M. Elezaby, A. Fowler, E. Burnside, R. Woods, and R. Strigel. IWBI, volume 10718 of SPIE Proceedings, page 1071820. SPIE, (2018)Boosting First-Order Clauses for Large, Skewed Data Sets.L. Oliphant, E. Burnside, and J. Shavlik. ILP, volume 5989 of Lecture Notes in Computer Science, page 166-177. Springer, (2009)Support Vector Machines for Differential Prediction.F. Kuusisto, V. Costa, H. Nassif, E. Burnside, D. Page, and J. Shavlik. 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.F. Kuusisto, I. de Castro Dutra, H. Nassif, Y. Wu, M. Klein, H. Neuman, J. Shavlik, and E. Burnside. Healthcom, page 283-285. IEEE, (2013)Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms.J. Liu, D. Page, H. Nassif, J. Shavlik, P. Peissig, C. McCarty, A. Onitilo, and E. Burnside. AMIA, AMIA, (2013)Using Multidimensional Mutual Information to Prioritize Mammographic Features for Breast Cancer Diagnosis.Y. Wu, D. Vanness, and E. Burnside. AMIA, AMIA, (2013)View Learning for Statistical Relational Learning: With an Application to Mammography.J. Davis, E. Burnside, I. de Castro Dutra, D. Page, R. Ramakrishnan, V. Costa, and J. Shavlik. IJCAI, page 677-683. Professional Book Center, (2005)

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Disambiguation of "Burnside, Elizabeth S."

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Interpretable models to predict Breast Cancer.

Please choose a person to relate this publication to

Elizabeth Wainwright

Elizabeth Karema

Elizabeth Mukidjam

Elizabeth Cudjoe

Elizabeth Pilgramm

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Burnside, Elizabeth S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Interpretable models to predict Breast Cancer.

Please choose a person to relate this publication to

Elizabeth Wainwright

Elizabeth Karema

Elizabeth Mukidjam

Elizabeth Cudjoe

Elizabeth Pilgramm

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Interpretable models to predict Breast Cancer.