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ORCIDElizabeth S. Burnside
- > Home > Persons > Elizabeth S. Burnside
Publications
- 2016
[c36]Pedro Ferreira
, Inês Dutra, Rogerio Salvini, Elizabeth S. Burnside:
Interpretable models to predict Breast Cancer. BIBM 2016: 1507-1511- [c35]Ricardo Sousa Rocha, Pedro Ferreira, Inês de Castro Dutra, Ricardo Cruz-Correia, Rogerio Salvini, Elizabeth S. Burnside:
A Speech-to-Text Interface for MammoClass. CBMS 2016: 1-6 - 2015
- [j10]Pedro Ferreira, Nuno A. Fonseca, Inês de Castro Dutra, Ryan W. Woods, Elizabeth S. Burnside:
Predicting malignancy from mammography findings and image-guided core biopsies. Int. J. Data Min. Bioinform. 11(3): 257-276 (2015) - [c32]Joana Côrte-Real, Theofrastos Mantadelis, Inês de Castro Dutra, Ricardo Rocha, Elizabeth S. Burnside:
SkILL - A Stochastic Inductive Logic Learner. ICMLA 2015: 555-558 - [p1]Marina Velikova, Inês Dutra, Elizabeth S. Burnside:
Automated Diagnosis of Breast Cancer on Medical Images. Foundations of Biomedical Knowledge Representation 2015: 47-67 - 2014
- [c27]Ezilda Almeida, Pedro Ferreira, Tiago T. V. Vinhoza, Inês de Castro Dutra, Paulo Vinicius Koerich Borges, Yirong Wu, Elizabeth S. Burnside:
Expert Bayes: Automatically Refining Manually Built Bayesian Networks. ICMLA 2014: 362-366 - [i2]Ezilda Almeida, Pedro Ferreira, Tiago T. V. Vinhoza, Inês de Castro Dutra, Jingwei Li, Yirong Wu, Elizabeth S. Burnside:
ExpertBayes: Automatically refining manually built Bayesian networks. CoRR abs/1406.2395 (2014) - 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 - 2012
- [c18]Houssam Nassif, Filipe Cunha, Inês C. Moreira, Ricardo Cruz-Correia, Eliana Sousa, David Page, Elizabeth S. Burnside, Inês de Castro Dutra:
Extracting BI-RADS features from Portuguese clinical texts. BIBM 2012: 1-4 - 2011
- [c14]Pedro Ferreira, Nuno A. Fonseca, Inês de Castro Dutra, Ryan W. Woods, Elizabeth S. Burnside:
Predicting Malignancy from Mammography Findings and Surgical Biopsies. BIBM 2011: 339-344 - [c13]Pedro Ferreira, Inês de Castro Dutra, Nuno A. Fonseca, Ryan W. Woods, Elizabeth S. Burnside:
Studying the Relevance of Breast Imaging Features. HEALTHINF 2011: 337-342 - 2005
- [c8]Elizabeth S. Burnside, Jesse Davis, Vítor Santos Costa, Inês de Castro Dutra, Charles E. Kahn Jr., Jason Fine, David Page:
Knowledge Discovery from Structured Mammography Reports Using Inductive Logic Programming. AMIA 2005 - [c7]Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa:
An Integrated Approach to Learning Bayesian Networks of Rules. ECML 2005: 84-95 - [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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