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ORCIDElizabeth S. Burnside
- > Home > Persons > Elizabeth S. Burnside
Publications
- 2014
[c26]Finn Kuusisto, Vítor Santos Costa
, Houssam Nassif, Elizabeth S. Burnside, David Page, Jude W. Shavlik:
Support Vector Machines for Differential Prediction. ECML/PKDD (2) 2014: 50-65- 2013
- [c25]Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside:
Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. AMIA 2013 - [c23]Finn Kuusisto, Inês de Castro Dutra, Houssam Nassif, Yirong Wu, Molly E. Klein, Heather B. Neuman, Jude W. Shavlik, Elizabeth S. Burnside:
Using machine learning to identify benign cases with non-definitive biopsy. Healthcom 2013: 283-285 - [c22]Houssam Nassif, Finn Kuusisto, Elizabeth S. Burnside, Jude W. Shavlik:
Uplift Modeling with ROC: An SRL Case Study. ILP (Late Breaking Papers) 2013: 40-45 - [c21]Houssam Nassif, Finn Kuusisto, Elizabeth S. Burnside, David Page, Jude W. Shavlik, Vítor Santos Costa:
Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling. ECML/PKDD (3) 2013: 595-611 - 2010
- [j2]Ryan W. Woods, Louis Oliphant, Kazuhiko Shinki, David Page, Jude W. Shavlik, Elizabeth S. Burnside:
Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer. J. Digit. Imaging 23(5): 554-561 (2010) - [c12]Houssam Nassif, David Page, Mehmet Ayvaci, Jude W. Shavlik, Elizabeth S. Burnside:
Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming. IHI 2010: 76-82 - 2009
- [c11]Houssam Nassif, Ryan W. Woods, Elizabeth S. Burnside, Mehmet Ayvaci, Jude W. Shavlik, David Page:
Information Extraction for Clinical Data Mining: A Mammography Case Study. ICDM Workshops 2009: 37-42 - [c10]Louis Oliphant, Elizabeth S. Burnside, Jude W. Shavlik:
Boosting First-Order Clauses for Large, Skewed Data Sets. ILP 2009: 166-177 - 2005
- [c6]Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Raghu Ramakrishnan, Vítor Santos Costa, Jude W. Shavlik:
View Learning for Statistical Relational Learning: With an Application to Mammography. IJCAI 2005: 677-683
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