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Constantin F. Aliferis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis
    A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:739-745 [Conf]
  2. Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis
    Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:1710-1711 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2003, pp:67-71 [Conf]
  4. Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
    Algorithms for Large Scale Markov Blanket Discovery. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2003, pp:376-381 [Conf]
  5. Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis
    Generating Realistic Large Bayesian Networks by Tiling. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:592-597 [Conf]
  6. Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
    Identifying Markov Blankets with Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:59-66 [Conf]
  7. Douglas Hardin, Ioannis Tsamardinos, Constantin F. Aliferis
    A theoretical characterization of linear SVM-based feature selection. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  8. Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
    Time and sample efficient discovery of Markov blankets and direct causal relations. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:673-678 [Conf]
  9. 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. [Citation Graph (0, 0)][DBLP]
    METMBS, 2003, pp:47-53 [Conf]
  10. Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown
    Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. [Citation Graph (0, 0)][DBLP]
    METMBS, 2003, pp:371-376 [Conf]
  11. Constantin F. Aliferis, Gregory F. Cooper
    An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:8-14 [Conf]
  12. Constantin F. Aliferis, Gregory F. Cooper
    A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. [Citation Graph (0, 0)][DBLP]
    UAI, 1996, pp:28-39 [Conf]
  13. 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. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1997, v:9, n:2, pp:107-138 [Journal]
  14. 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. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:5, pp:631-643 [Journal]
  15. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:5, pp:347-366 [Journal]
  16. Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis
    The max-min hill-climbing Bayesian network structure learning algorithm. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:65, n:1, pp:31-78 [Journal]
  17. Subramani Mani, Constantin F. Aliferis
    A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data. [Citation Graph (0, 0)][DBLP]
    AIME, 2007, pp:446-450 [Conf]

  18. Text Categorization Models for Identifying Unproven Cancer Treatments on the Web. [Citation Graph (, )][DBLP]


  19. A Comparison of Impact Factor, Clinical Query Filters, and Pattern Recognition Query Filters in Terms of Sensitivity to Topic. [Citation Graph (, )][DBLP]


  20. Learning Causal and Predictive Clinical Practice Guidelines from Data. [Citation Graph (, )][DBLP]


  21. A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification. [Citation Graph (, )][DBLP]


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