Constantin F. Aliferis - researchr alias

researchr

You are not signed in
Sign in
Sign up

2011

A comparison of evaluation metrics for biomedical journals, articles, and websites in terms of sensitivity to topicLawrence D. Fu, Yindalon Aphinyanaphongs, Lily Wang, Constantin F. Aliferis. jbi, 44(4):587-594, 2011. [doi]

Time Series Analysis with the Causality WorkbenchIsabelle Guyon, Alexander Satnikov, Constantin F. Aliferis. jmlr, 12:115-139, 2011. [doi]

2010

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical EvaluationConstantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos. jmlr, 11:171-234, 2010. [doi]

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and ExtensionsConstantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos. jmlr, 11:235-284, 2010. [doi]

Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literatureLawrence D. Fu, Constantin F. Aliferis. scientometrics, 85(1):257-270, 2010. [doi]

Bayesian Algorithms for Causal Data MiningSubramani Mani, Constantin F. Aliferis, Alexander R. Statnikov. jmlr, 6:121-136, 2010. [doi]

TIED: An Artificially Simulated Dataset with Multiple Markov BoundariesAlexander R. Statnikov, Constantin F. Aliferis. jmlr, 6:249-256, 2010. [doi]

2009

The FAST-AIMS Clinical Mass Spectrometry Analysis SystemNafeh Fananapazir, Alexander R. Statnikov, Constantin F. Aliferis. abi, 2009, 2009. [doi]

2008

Design and Analysis of the Causation and Prediction ChallengeIsabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov. jmlr, 3:1-33, 2008. [doi]

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classificationAlexander R. Statnikov, Lily Wang, Constantin F. Aliferis. bmcbi, 9, 2008. [doi]

2007

2006

2005

Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal MedicineYindalon Aphinyanaphongs, Ioannis Tsamardinos, Alexander R. Statnikov, Douglas Hardin, Constantin F. Aliferis. jamia, 12(2):207-216, 2005. [doi]

A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning AlgorithmsLaura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis. AAAI 2005: 739-745

Predicting dire outcomes of patients with community acquired pneumoniaGregory 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. jbi, 38(5):347-366, 2005. [doi]

GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression dataAlexander R. Statnikov, Ioannis Tsamardinos, Yerbolat Dosbayev, Constantin F. Aliferis. ijmi, 74(7-8):491-503, 2005. [doi]

Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression DataAlexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis. AAAI 2005: 1710-1711

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosisAlexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos, Douglas Hardin, Shawn Levy. bioinformatics, 21(5):631-643, 2005. [doi]

2004

A theoretical characterization of linear SVM-based feature selectionDouglas Hardin, Ioannis Tsamardinos, Constantin F. Aliferis. icml 2004: [doi]

2003

Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical DiscoveryConstantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown. metmbs 2003: 371-376

Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory FactorsConstantin F. Aliferis, Ioannis Tsamardinos, P. Massion, Alexander R. Statnikov, Douglas Hardin. metmbs 2003: 47-53

Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression DataConstantin F. Aliferis, Ioannis Tsamardinos, P. Massion, Alexander R. Statnikov, N. Fananapazir, Douglas Hardin. flairs 2003: 67-71

Identifying Markov Blankets with Decision Tree InductionLewis Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov. icdm 2003: 59-66 [doi]

Time and sample efficient discovery of Markov blankets and direct causal relationsIoannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov. kdd 2003: 673-678 [doi]

Algorithms for Large Scale Markov Blanket DiscoveryIoannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov. flairs 2003: 376-381

1997

An evaluation of machine-learning methods for predicting pneumonia mortalityGregory 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. artmed, 9(2):107-138, 1997.

1996

A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling TechniquesConstantin F. Aliferis, Gregory F. Cooper. uai 1996: 28-39 [doi]

1994

An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data SetsConstantin F. Aliferis, Gregory F. Cooper. uai 1994: 8-14 [doi]