David Page
Zitiert von
Zitiert von
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
Estimation of the warfarin dose with clinical and pharmacogenetic data
International Warfarin Pharmacogenetics Consortium
New England Journal of Medicine 360 (8), 753-764, 2009
Privacy in pharmacogenetics: An {End-to-End} case study of personalized warfarin dosing
M Fredrikson, E Lantz, S Jha, S Lin, D Page, T Ristenpart
23rd USENIX Security Symposium (USENIX Security 14), 17-32, 2014
Area under the precision-recall curve: point estimates and confidence intervals
K Boyd, KH Eng, CD Page
Joint European conference on machine learning and knowledge discovery in …, 2013
Modelling regulatory pathways in E. coli from time series expression profiles
IM Ong, JD Glasner, D Page
Bioinformatics 18 (suppl_1), S241-S248, 2002
Human pluripotent stem cell-derived neural constructs for predicting neural toxicity
MP Schwartz, Z Hou, NE Propson, J Zhang, CJ Engstrom, VS Costa, ...
Proceedings of the National Academy of Sciences 112 (40), 12516-12521, 2015
An automated decision‐tree approach to predicting protein interaction hot spots
SJ Darnell, D Page, JC Mitchell
Proteins: Structure, Function, and Bioinformatics 68 (4), 813-823, 2007
Pharmacophore discovery using the inductive logic programming system Progol
P Finn, S Muggleton, D Page, A Srinivasan
Machine Learning 30 (2), 241-270, 1998
CLP (BN): Constraint logic programming for probabilistic knowledge
VS Costa, D Page, M Qazi, J Cussens
arXiv preprint arXiv:1212.2519, 2012
KDD Cup 2001 report
J Cheng, C Hatzis, H Hayashi, MA Krogel, S Morishita, D Page, J Sese
ACM SIGKDD Explorations Newsletter 3 (2), 47-64, 2002
A Bayesian network approach to operon prediction
J Bockhorst, M Craven, D Page, J Shavlik, J Glasner
Bioinformatics 19 (10), 1227-1235, 2003
Evaluation of the modified asthma predictive index in high-risk preschool children
TS Chang, RF Lemanske Jr, TW Guilbert, JE Gern, MH Coen, MD Evans, ...
The Journal of Allergy and Clinical Immunology: In Practice 1 (2), 152-156, 2013
Prediction of insemination outcomes in Holstein dairy cattle using alternative machine learning algorithms
S Shahinfar, D Page, J Guenther, V Cabrera, P Fricke, K Weigel
Journal of dairy science 97 (2), 731-742, 2014
Multi-instance tree learning
H Blockeel, D Page, A Srinivasan
Proceedings of the 22nd international conference on Machine learning, 57-64, 2005
A PheWAS approach in studying HLA-DRB1* 1501
SJ Hebbring, SJ Schrodi, Z Ye, Z Zhou, D Page, MH Brilliant
Genes & Immunity 14 (3), 187-191, 2013
Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings
ES Burnside, J Davis, J Chhatwal, O Alagoz, MJ Lindstrom, BM Geller, ...
Radiology 251 (3), 663, 2009
To the international computing community: A new East-West challenge
D Michie, S Muggleton, D Page, A Srinivasan
Distributed email document available from http://www. doc. ic. ac. uk/~ shm …, 1994
A probabilistic learning approach to whole-genome operon prediction.
MW Craven, D Page, JW Shavlik, J Bockhorst, JD Glasner
ISMB 8, 116-27, 2000
Unachievable region in precision-recall space and its effect on empirical evaluation
K Boyd, VS Costa, J Davis, D Page
arXiv preprint arXiv:1206.4667, 2012
Quickfoil: Scalable inductive logic programming
Q Zeng, JM Patel, D Page
Proceedings of the VLDB Endowment 8 (3), 197-208, 2014
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