2007 |
17 | EE | Subramani Mani,
Constantin F. Aliferis:
A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data.
AIME 2007: 446-450 |
2006 |
16 | | Ioannis Tsamardinos,
Alexander R. Statnikov,
Laura E. Brown,
Constantin F. Aliferis:
Generating Realistic Large Bayesian Networks by Tiling.
FLAIRS Conference 2006: 592-597 |
15 | EE | Ioannis Tsamardinos,
Laura E. Brown,
Constantin F. Aliferis:
The max-min hill-climbing Bayesian network structure learning algorithm.
Machine Learning 65(1): 31-78 (2006) |
2005 |
14 | | Alexander R. Statnikov,
Ioannis Tsamardinos,
Constantin F. Aliferis:
Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data.
AAAI 2005: 1710-1711 |
13 | | Laura E. Brown,
Ioannis Tsamardinos,
Constantin F. Aliferis:
A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms.
AAAI 2005: 739-745 |
12 | EE | Alexander R. Statnikov,
Constantin F. Aliferis,
Ioannis Tsamardinos,
Douglas Hardin,
Shawn Levy:
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.
Bioinformatics 21(5): 631-643 (2005) |
11 | EE | Gregory F. Cooper,
Vijoy Abraham,
Constantin F. Aliferis,
John M. Aronis,
Bruce G. Buchanan,
Rich Caruana,
Michael J. Fine,
Janine E. Janosky,
Gary Livingston,
Tom M. Mitchell:
Predicting dire outcomes of patients with community acquired pneumonia.
Journal of Biomedical Informatics 38(5): 347-366 (2005) |
2004 |
10 | EE | Douglas Hardin,
Ioannis Tsamardinos,
Constantin F. Aliferis:
A theoretical characterization of linear SVM-based feature selection.
ICML 2004 |
2003 |
9 | | Ioannis Tsamardinos,
Constantin F. Aliferis,
Alexander R. Statnikov:
Algorithms for Large Scale Markov Blanket Discovery.
FLAIRS Conference 2003: 376-381 |
8 | | Constantin F. Aliferis,
Ioannis Tsamardinos,
P. Massion,
Alexander R. Statnikov,
N. Fananapazir,
Douglas Hardin:
Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data.
FLAIRS Conference 2003: 67-71 |
7 | EE | Lewis Frey,
Douglas H. Fisher,
Ioannis Tsamardinos,
Constantin F. Aliferis,
Alexander R. Statnikov:
Identifying Markov Blankets with Decision Tree Induction.
ICDM 2003: 59-66 |
6 | EE | Ioannis Tsamardinos,
Constantin F. Aliferis,
Alexander R. Statnikov:
Time and sample efficient discovery of Markov blankets and direct causal relations.
KDD 2003: 673-678 |
5 | | Constantin F. Aliferis,
Ioannis Tsamardinos,
Alexander R. Statnikov,
Laura E. Brown:
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.
METMBS 2003: 371-376 |
4 | | Constantin F. Aliferis,
Ioannis Tsamardinos,
P. Massion,
Alexander R. Statnikov,
Douglas Hardin:
Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors.
METMBS 2003: 47-53 |
1997 |
3 | | Gregory F. Cooper,
Constantin F. Aliferis,
R. Ambrosino,
John M. Aronis,
Bruce G. Buchanan,
Rich Caruana,
Michael J. Fine,
Clark Glymour,
G. Gordon,
B. H. Hanusa,
Janine E. Janosky,
Christopher Meek,
Tom M. Mitchell,
Thomas Richardson,
Peter Spirtes:
An evaluation of machine-learning methods for predicting pneumonia mortality.
Artificial Intelligence in Medicine 9(2): 107-138 (1997) |
1996 |
2 | EE | Constantin F. Aliferis,
Gregory F. Cooper:
A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques.
UAI 1996: 28-39 |
1994 |
1 | EE | Constantin F. Aliferis,
Gregory F. Cooper:
An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets.
UAI 1994: 8-14 |