2007 |
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 |