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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. Ioannis Tsamardinos, Nicola Muscettola, Paul H. Morris
   Fast Transformation of Temporal Plans for Efficient Execution. [Citation Graph (0, 0)][DBLP]
   AAAI/IAAI, 1998, pp:254-261 [Conf]
   
4. Ioannis Tsamardinos, Martha E. Pollack, John F. Horty
   Merging Plans with Quantitative Temporal Constraints, Temporally Extended Actions, and Conditional Branches. [Citation Graph (0, 0)][DBLP]
   AIPS, 2000, pp:264-272 [Conf]
   
5. Martha E. Pollack, Colleen E. McCarthy, Sailesh Ramakrishnan, Ioannis Tsamardinos
   Execution-Time Plan Management for a Cognitive Orthotic System. [Citation Graph (0, 0)][DBLP]
   Advances in Plan-Based Control of Robotic Agents, 2001, pp:179-192 [Conf]
   
6. 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]
   
7. 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]
   
8. 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]
   
9. 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]
   
10. 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]
    
11. 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]
    
12. Nicola Muscettola, Paul H. Morris, Ioannis Tsamardinos
    Reformulating Temporal Plans for Efficient Execution. [Citation Graph (0, 0)][DBLP]
    KR, 1998, pp:444-452 [Conf]
    
13. 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]
    
14. 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]
    
15. Alan Berfield, Panos K. Chrysanthis, Ioannis Tsamardinos, Martha E. Pollack, Sujata Banerjee
    A Scheme for Integrating e-Services in Establishing Virtual Enterprises. [Citation Graph (0, 0)][DBLP]
    RIDE, 2002, pp:134-142 [Conf]
    
16. Ioannis Tsamardinos
    A Probabilistic Approach to Robust Execution of Temporal Plans with Uncertainty. [Citation Graph (0, 0)][DBLP]
    SETN, 2002, pp:97-108 [Conf]
    
17. Ioannis Tsamardinos, Martha E. Pollack
    Efficient solution techniques for disjunctive temporal reasoning problems. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2003, v:151, n:1-2, pp:43-89 [Journal]
    
18. 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]
    
19. Ioannis Tsamardinos, Thierry Vidal, Martha E. Pollack
    CTP: A New Constraint-Based Formalism for Conditional, Temporal Planning. [Citation Graph (0, 0)][DBLP]
    Constraints, 2003, v:8, n:4, pp:365-388 [Journal]
    
20. Cristina Bicchieri, Martha E. Pollack, Carlo Rovelli, Ioannis Tsamardinos
    The potential for the evolution of co-operation among web agents. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 1998, v:48, n:1, pp:9-29 [Journal]
    
21. 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]
    
22. Martha E. Pollack, Laura E. Brown, Dirk Colbry, Colleen E. McCarthy, Cheryl Orosz, Bart Peintner, Sailesh Ramakrishnan, Ioannis Tsamardinos
    Autominder: an intelligent cognitive orthotic system for people with memory impairment. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2003, v:44, n:3-4, pp:273-282 [Journal]
    
23. 
    Bounding the False Discovery Rate in Local Bayesian Network Learning. [Citation Graph (, )][DBLP]
    
    
24. 
    Multi-Source Causal Analysis: Learning Bayesian Networks from Multiple Datasets. [Citation Graph (, )][DBLP]
    
    
25. 
    Permutation Testing Improves Bayesian Network Learning. [Citation Graph (, )][DBLP]
    
    
26. 
    Structure-based variable selection for survival data. [Citation Graph (, )][DBLP]