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Jude Shavlik

Showing results (1-10 of 11) with videos related to

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Journal of Bioinformatics and Computational Biology|July 20, 2012
Probabilistic ensembles for improved inference in protein-structure determinationAmeet Soni, Jude Shavlik
Bioinformatics (Oxford, England)|July 29, 2006
A probabilistic approach to protein backbone tracing in electron density mapsFrank DiMaio, Jude Shavlik, George N Phillips
Proceedings. IEEE Computational Systems Bioinformatics Conference|February 2, 2006
A self-tuning method for one-chip SNP identificationMichael Molla, Jude Shavlik, Todd Richmond, et al.
Bioinformatics (Oxford, England)|July 2, 2003
A Bayesian network approach to operon predictionJoseph Bockhorst, Mark Craven, David Page, et al.
Proceedings. IEEE International Conference on Data Mining|June 15, 2013
Information Extraction for Clinical Data Mining: A Mammography Case StudyHoussam Nassif, Ryan Woods, Elizabeth Burnside, et al.
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD ... : Proceedings. ECML PKDD (Conference)|July 10, 2015
Support Vector Machines for Differential PredictionFinn Kuusisto, Vitor Santos Costa, Houssam Nassif, et al.
Journal of Digital Imaging|September 18, 2009
Validation of results from knowledge discovery: mass density as a predictor of breast cancerRyan W Woods, Louis Oliphant, Kazuhiko Shinki, et al.
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD ... : Proceedings. ECML PKDD (Conference)|July 10, 2015
Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift ModelingHoussam Nassif, Finn Kuusisto, Elizabeth S Burnside, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 26, 2015
Leveraging Expert Knowledge to Improve Machine-Learned Decision Support SystemsFinn Kuusisto, Inês Dutra, Mai Elezaby, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 20, 2014
Genetic variants improve breast cancer risk prediction on mammogramsJie Liu, David Page, Houssam Nassif, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Journal of Bioinformatics and Computational Biology|July 20, 2012
Probabilistic ensembles for improved inference in protein-structure determinationAmeet Soni, Jude Shavlik
Bioinformatics (Oxford, England)|July 29, 2006
A probabilistic approach to protein backbone tracing in electron density mapsFrank DiMaio, Jude Shavlik, George N Phillips
Proceedings. IEEE Computational Systems Bioinformatics Conference|February 2, 2006
A self-tuning method for one-chip SNP identificationMichael Molla, Jude Shavlik, Todd Richmond, et al.
Bioinformatics (Oxford, England)|July 2, 2003
A Bayesian network approach to operon predictionJoseph Bockhorst, Mark Craven, David Page, et al.
Proceedings. IEEE International Conference on Data Mining|June 15, 2013
Information Extraction for Clinical Data Mining: A Mammography Case StudyHoussam Nassif, Ryan Woods, Elizabeth Burnside, et al.
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD ... : Proceedings. ECML PKDD (Conference)|July 10, 2015
Support Vector Machines for Differential PredictionFinn Kuusisto, Vitor Santos Costa, Houssam Nassif, et al.
Journal of Digital Imaging|September 18, 2009
Validation of results from knowledge discovery: mass density as a predictor of breast cancerRyan W Woods, Louis Oliphant, Kazuhiko Shinki, et al.
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD ... : Proceedings. ECML PKDD (Conference)|July 10, 2015
Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift ModelingHoussam Nassif, Finn Kuusisto, Elizabeth S Burnside, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 26, 2015
Leveraging Expert Knowledge to Improve Machine-Learned Decision Support SystemsFinn Kuusisto, Inês Dutra, Mai Elezaby, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 20, 2014
Genetic variants improve breast cancer risk prediction on mammogramsJie Liu, David Page, Houssam Nassif, et al.
Pageof 2