Huma Lodhi

According to our database, Huma Lodhi authored at least 16 papers between 2000 and 2013.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2013

Deep Relational Machines.

Huma Lodhi

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2011

Bootstrapping Parameter Estimation in Dynamic Systems.

Huma Lodhi, David R. Gilbert

Proceedings of the Discovery Science - 14th International Conference, 2011

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

Learning Large Margin First Order Decision Lists for Multi-Class Classification.

Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg

Proceedings of the Discovery Science, 12th International Conference, 2009

2008

On Bias-Variance Analysis for Probabilistic Logic Models.

Huma Lodhi

J. Inf. Technol. Res., 2008

2007

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

2005

Computing Confidence Measures in Stochastic Logic Programs.

Huma Lodhi, Stephen H. Muggleton

Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Support Vector Inductive Logic Programming.

Stephen H. Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg

Proceedings of the Discovery Science, 8th International Conference, 2005

2004

Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods.

Huma Lodhi, Stephen H. Muggleton

Proceedings of the Computational Methods in Systems Biology, International Conference, 2004

2002

Automatic Scientific Text Classification Using Local Patterns: KDD Cup 2002 (Task 1).

Moustafa Ghanem, Yike Guo, Huma Lodhi, Yong Zhang

SIGKDD Explor., 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

Latent Semantic Kernels.

Nello Cristianini, John Shawe-Taylor, Huma Lodhi

J. Intell. Inf. Syst., 2002

Boosting strategy for classification.

Huma Lodhi, Grigoris I. Karakoulas, John Shawe-Taylor

Intell. Data Anal., 2002

Gram-Schmidt Kernels Applied to Structure Activity Analysis for Drug Design.

Huma Lodhi, Yike Guo

Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

2000

Text Classification using String Kernels.

Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Boosting the Margin Distribution.

Huma Lodhi, Grigoris I. Karakoulas, John Shawe-Taylor

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000