Constantin F. Aliferis

	2008
22		Alexander R. Statnikov, Lily Wang, Constantin F. Aliferis: A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification. BMC Bioinformatics 9: (2008)
	2007
21		Subramani Mani, Constantin F. Aliferis: A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data. AIME 2007: 446-450
20		Lawrence D. Fu, Lily Wang, Yindalon Aphinyanagphongs, Constantin F. Aliferis: A Comparison of Impact Factor, Clinical Query Filters, and Pattern Recognition Query Filters in Terms of Sensitivity to Topic. MedInfo 2007: 716-720
19		Subramani Mani, Constantin F. Aliferis, Shanthi Krishnaswami, Theodore Kotchen: Learning Causal and Predictive Clinical Practice Guidelines from Data. MedInfo 2007: 850-854
18		Yin Aphinyanaphongs, Constantin F. Aliferis: Text Categorization Models for Identifying Unproven Cancer Treatments on the Web. MedInfo 2007: 968-972
	2006
17		Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis: Generating Realistic Large Bayesian Networks by Tiling. FLAIRS Conference 2006: 592-597
16		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
15		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
14		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
13		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)
12		Alexander R. Statnikov, Ioannis Tsamardinos, Yerbolat Dosbayev, Constantin F. Aliferis: GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data. I. J. Medical Informatics 74(7-8): 491-503 (2005)
11		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		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		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		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		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		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

Coauthor Index

1	Vijoy Abraham	[11]
2	R. Ambrosino	[3]
3	Yindalon Aphinyanagphongs	[20]
4	Yin Aphinyanaphongs	[18]
5	John M. Aronis	[3] [11]
6	Laura E. Brown	[5] [14] [16] [17]
7	Bruce G. Buchanan	[3] [11]
8	Rich Caruana	[3] [11]
9	Gregory F. Cooper	[1] [2] [3] [11]
10	Yerbolat Dosbayev	[12]
11	N. Fananapazir	[8]
12	Michael J. Fine	[3] [11]
13	Douglas H. Fisher	[7]
14	Lewis Frey	[7]
15	Lawrence D. Fu	[20]
16	Clark Glymour	[3]
17	G. Gordon	[3]
18	B. H. Hanusa	[3]
19	Douglas Hardin	[4] [8] [10] [13]
20	Janine E. Janosky	[3] [11]
21	Theodore Kotchen	[19]
22	Shanthi Krishnaswami	[19]
23	Shawn Levy	[13]
24	Gary Livingston	[11]
25	Subramani Mani	[19] [21]
26	P. Massion	[4] [8]
27	Christopher Meek	[3]
28	Tom M. Mitchell	[3] [11]
29	Thomas Richardson	[3]
30	Peter Spirtes	[3]
31	Alexander R. Statnikov	[4] [5] [6] [7] [8] [9] [12] [13] [15] [17] [22]
32	Ioannis Tsamardinos	[4] [5] [6] [7] [8] [9] [10] [12] [13] [14] [15] [16] [17]
33	Lily Wang	[20] [22]

Colors in the list of coauthors