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Publications of Author

1. Huma Lodhi, Stephen Muggleton
   Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods. [Citation Graph (0, 0)][DBLP]
   CMSB, 2004, pp:119-133 [Conf]
   
2. Stephen Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg
   Support Vector Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
   Discovery Science, 2005, pp:163-175 [Conf]
   
3. Nello Cristianini, John Shawe-Taylor, Huma Lodhi
   Latent Semantic Kernels. [Citation Graph (0, 0)][DBLP]
   ICML, 2001, pp:66-73 [Conf]
   
4. Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Taylor
   Boosting the Margin Distribution. [Citation Graph (0, 0)][DBLP]
   IDEAL, 2000, pp:54-59 [Conf]
   
5. Huma Lodhi, Yike Guo
   Gram-Schmidt Kernels Applied to Structure Activity Analysis for Drug Design. [Citation Graph (0, 0)][DBLP]
   BIOKDD, 2002, pp:37-42 [Conf]
   
6. Huma Lodhi, Stephen Muggleton
   Computing Confidence Measures in Stochastic Logic Programs. [Citation Graph (0, 0)][DBLP]
   MICAI, 2005, pp:890-899 [Conf]
   
7. Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
   Text Classification using String Kernels. [Citation Graph (0, 0)][DBLP]
   NIPS, 2000, pp:563-569 [Conf]
   
8. Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Taylor
   Boosting strategy for classification. [Citation Graph (0, 0)][DBLP]
   Intell. Data Anal., 2002, v:6, n:2, pp:149-174 [Journal]
   
9. Nello Cristianini, John Shawe-Taylor, Huma Lodhi
   Latent Semantic Kernels. [Citation Graph (0, 0)][DBLP]
   J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:127-152 [Journal]
   
10. Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
    Text Classification using String Kernels. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:419-444 [Journal]
    
11. Moustafa Ghanem, Yike Guo, Huma Lodhi, Yong Zhang
    Automatic Scientific Text Classification Using Local Patterns: KDD Cup 2002 (Task 1). [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:4, n:2, pp:95-96 [Journal]
    
12. 
    Learning Large Margin First Order Decision Lists for Multi-Class Classification. [Citation Graph (, )][DBLP]
    
    
13. 
    Multi-class protein fold recognition using large margin logic based divide and conquer learning. [Citation Graph (, )][DBLP]