2007 | ||
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29 | EE | Pedro A. F. Galante, Jeff Trimarchi, Constance L. Cepko, Sandro J. de Souza, Lucila Ohno-Machado, Winston Patrick Kuo: Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data. Bioinformatics 23(7): 903-905 (2007) |
28 | EE | Beatriz Stransky, Junior Barrera, Lucila Ohno-Machado, Sandro J. de Souza: Modeling Cancer: Integration of "omics" Information in Dynamic Systems. J. Bioinformatics and Computational Biology 5(4): 977-986 (2007) |
27 | EE | Michael E. Matheny, Frederic S. Resnic, Nipun Arora, Lucila Ohno-Machado: Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortality. Journal of Biomedical Informatics 40(6): 688-697 (2007) |
2006 | ||
26 | EE | Staal A. Vinterbo, Stephan Dreiseitl, Lucila Ohno-Machado: Approximation properties of haplotype tagging. BMC Bioinformatics 7: 8 (2006) |
25 | EE | Griffin Weber, Lucila Ohno-Machado, Stuart M. Shieber: Representation in stochastic search for phylogenetic tree reconstruction. Journal of Biomedical Informatics 39(1): 43-50 (2006) |
2005 | ||
24 | EE | Steven Haker, William M. Wells III, Simon K. Warfield, Ion-Florin Talos, Jui G. Bhagwat, Daniel Goldberg-Zimring, Asim Mian, Lucila Ohno-Machado, Kelly H. Zou: Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation. MICCAI 2005: 506-514 |
23 | EE | Staal A. Vinterbo, Eun-Young Kim, Lucila Ohno-Machado: Small, fuzzy and interpretable gene expression based classifiers. Bioinformatics 21(9): 1964-1970 (2005) |
22 | EE | Lucila Ohno-Machado: Clinical machine learning. Journal of Biomedical Informatics 38(5): 345-346 (2005) |
21 | EE | Michael E. Matheny, Lucila Ohno-Machado, Frederic S. Resnic: Discrimination and calibration of mortality risk prediction models in interventional cardiology. Journal of Biomedical Informatics 38(5): 367-375 (2005) |
20 | EE | Kelly H. Zou, Frederic S. Resnic, Ion-Florin Talos, Daniel Goldberg-Zimring, Jui G. Bhagwat, Steven Haker, Ron Kikinis, Ferenc A. Jolesz, Lucila Ohno-Machado: A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method. Journal of Biomedical Informatics 38(5): 395-403 (2005) |
19 | EE | Thomas A. Lasko, Jui G. Bhagwat, Kelly H. Zou, Lucila Ohno-Machado: The use of receiver operating characteristic curves in biomedical informatics. Journal of Biomedical Informatics 38(5): 404-415 (2005) |
2004 | ||
18 | EE | Griffin Weber, Staal A. Vinterbo, Lucila Ohno-Machado: Multivariate selection of genetic markers in diagnostic classification. Artificial Intelligence in Medicine 31(2): 155-167 (2004) |
17 | EE | Lucila Ohno-Machado: Research on machine learning issues in biomedical informatics modeling. Journal of Biomedical Informatics 37(4): 221-223 (2004) |
16 | EE | Richard Butterworth, Dan A. Simovici, Gustavo S. Santos, Lucila Ohno-Machado: A greedy algorithm for supervised discretization. Journal of Biomedical Informatics 37(4): 285-292 (2004) |
15 | EE | Winston Patrick Kuo, Eun-Young Kim, Jeff Trimarchi, Tor-Kristian Jenssen, Staal A. Vinterbo, Lucila Ohno-Machado: A primer on gene expression and microarrays for machine learning researchers. Journal of Biomedical Informatics 37(4): 293-303 (2004) |
2003 | ||
14 | EE | Lucila Ohno-Machado, Winston Patrick Kuo: Stochastic Algorithms for Gene Expression Analysis (Invited Talk). SAGA 2003: 39-49 |
13 | EE | Andreas Alexander Albrecht, Staal A. Vinterbo, Lucila Ohno-Machado: An Epicurean learning approach to gene-expression data classification. Artificial Intelligence in Medicine 28(1): 75-87 (2003) |
2002 | ||
12 | EE | Andreas Alexander Albrecht, Staal A. Vinterbo, C. K. Wong, Lucila Ohno-Machado: A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data. ICANN 2002: 401-407 |
11 | Winston Patrick Kuo, Tor-Kristian Jenssen, Atul J. Butte, Lucila Ohno-Machado, Isaac S. Kohane: Analysis of matched mRNA measurements from two different microarray technologies. Bioinformatics 18(3): 405-412 (2002) | |
10 | EE | Ju-Han Kim, Isaac S. Kohane, Lucila Ohno-Machado: Visualization and evaluation of clusters for exploratory analysis of gene expression data. Journal of Biomedical Informatics 35(1): 25-36 (2002) |
9 | EE | Stephan Dreiseitl, Lucila Ohno-Machado: Logistic regression and artificial neural network classification models: a methodology review. Journal of Biomedical Informatics 35(5-6): 352-359 (2002) |
8 | EE | Lucila Ohno-Machado, Staal A. Vinterbo, Griffin Weber: Classification of gene expression data using fuzzy logic. Journal of Intelligent and Fuzzy Systems 12(1): 19-24 (2002) |
2001 | ||
7 | EE | Ju-Han Kim, Lucila Ohno-Machado, Isaac S. Kohane: Unsupervised Learning from Complex Data: The Matrix Incision Tree Algorithm. Pacific Symposium on Biocomputing 2001: 30-41 |
6 | EE | Stephan Dreiseitl, Lucila Ohno-Machado, Harald Kittler, Staal A. Vinterbo, Holger Billhardt, Michael Binder: A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions. Journal of Biomedical Informatics 34(1): 28-36 (2001) |
5 | EE | Lucila Ohno-Machado: Modeling Medical Prognosis: Survival Analysis Techniques. Journal of Biomedical Informatics 34(6): 428-439 (2001) |
2000 | ||
4 | Staal A. Vinterbo, Lucila Ohno-Machado: A genetic algorithm approach to multi-disorder diagnosis. Artificial Intelligence in Medicine 18(2): 117-132 (2000) | |
1999 | ||
3 | Aleksander Øhrn, Lucila Ohno-Machado: Using Boolean reasoning to anonymize databases. Artificial Intelligence in Medicine 15(3): 235-254 (1999) | |
1997 | ||
2 | EE | Lucila Ohno-Machado, Mark A. Musen: Modular Neural Networks for Medical Prognosis: Quantifying the Benefits of Combining Neural Networks for Survival Prediction. Connect. Sci. 9(1): 71-86 (1997) |
1995 | ||
1 | Lucila Ohno-Machado, Mark A. Musen: Learning Rare Categories in Backpropagation. SBIA 1995: 201-209 |