Boosting the Margin Distribution. - Huma Lodhi; Grigoris I. Karakoulas; John Shawe-Taylor (IDEAL, 2000)

Text Classification using String Kernels. - Huma Lodhi; John Shawe-Taylor; Nello Cristianini; Christopher J. C. H. Watkins (NIPS, 2000)

Gram-Schmidt Kernels Applied to Structure Activity Analysis for Drug Design. - Huma Lodhi; Yike Guo (BIOKDD, 2002)

Boosting strategy for classification. - Huma Lodhi; Grigoris I. Karakoulas; John Shawe-Taylor (Intell. Data Anal., 2002)

Latent Semantic Kernels. - Nello Cristianini; John Shawe-Taylor; Huma Lodhi (J. Intell. Inf. Syst., 2002)

Text Classification using String Kernels. - Huma Lodhi; Craig Saunders; John Shawe-Taylor; Nello Cristianini; Christopher J. C. H. Watkins (J. Mach. Learn. Res., 2002)

Automatic Scientific Text Classification Using Local Patterns: KDD Cup 2002 (Task 1). - Moustafa Ghanem; Yike Guo; Huma Lodhi; Yong Zhang 034 (SIGKDD Explor., 2002)

Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods. - Huma Lodhi; Stephen H. Muggleton (CMSB, 2004)

Support Vector Inductive Logic Programming. - Stephen H. Muggleton; Huma Lodhi; Ata Amini; Michael J. E. Sternberg (Discovery Science, 2005)

Computing Confidence Measures in Stochastic Logic Programs. - Huma Lodhi; Stephen H. Muggleton (MICAI, 2005)

A Novel Logic-Based Approach for Quantitative Toxicology Prediction. - Ata Amini; Stephen H. Muggleton; Huma Lodhi; Michael J. E. Sternberg (J. Chem. Inf. Model., 2007)

On Bias-Variance Analysis for Probabilistic Logic Models. - Huma Lodhi (J. Inf. Technol. Res., 2008)

Learning Large Margin First Order Decision Lists for Multi-Class Classification. - Huma Lodhi; Stephen H. Muggleton; Michael J. E. Sternberg (Discovery Science, 2009)

Multi-Class protein fold recognition using large margin logic based divide and conquer learning. - Huma Lodhi; Stephen H. Muggleton; Michael J. E. Sternberg (SIGKDD Explor., 2009)

Bootstrapping Parameter Estimation in Dynamic Systems. - Huma Lodhi; David R. Gilbert (Discovery Science, 2011)

Deep Relational Machines. - Huma Lodhi (ICONIP (2), 2013)