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Dr Huma Lodhi


Books

sysbio.jpgChemoinformatics and Advanced Machine Learning Perspectives

Journal Articles

  • Huma Lodhi. "Computational Biology Perspective: Kernel Methods and Deep Learning". Wiley Interdisciplinary Reviews: Computational Statistics, vol 4, no. 5 (pp. 455--465), 2012.
  • Huma Lodhi, Stephen Muggleton, Mike J E Sternberg. "Multi-class Mode of Action Classification of Toxic Compounds using Logic based Kernel Methods". Molecular Informatics, vol 29, no. 8-9 (pp. 655--664), 2010.
  • Huma Lodhi, Stephen Muggleton, Mike J E Sternberg. "Multi-class Protein Fold Recognition using Large Margin Logic based Divide and Conquer Learning". SIGKDD Explorations, vol. 11, no. 2 (117--122), 2009. (PDF Document)
  • Huma Lodhi, "On Bias-Variance Analysis for Probabilistic Logic Models". Journal of Information Technology and Research, vol. 1, no. 3 (pp. 27--40), 2008.
  • Ata Amini, Stephen Muggleton, Huma Lodhi and Mike J. E. Sternberg. "A Novel Logic-based Approach for Quantitative Toxicology Prediction". Journal of Chemical Information and Modelling, vol. 47, no. 3 (pp. 998--1006), 2007.
  • Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini and Chris Watkins. "Text Classification using String Kernels". Journal of Machine Learning Research, vol. 2 (pp. 419--444), 2002.(PDF Document)
  • Nello Cristianini, John Shawe-Taylor and Huma Lodhi. "Latent Semantic Kernels". Journal of Intelligent Information Systems, Special issue on Automatic Text Categorization, vol. 2, no. (2-3) (pp. 127--152), 2002.(PDF Document)
  • Huma Lodhi, Grigoris. Karakoulas and J. Shawe-Taylor. "Boosting Strategy for Classification". Intelligent Data Analysis, vol. 6, no. 2 (pp. 149--174), 2002.(PDF Document)
  • Moustafa Ghanem, Yike Guo, Huma Lodhi and Yong Zhang. "Automatic Scientific Text Classification using Local Patterns: KDD CUP 2002 (Task1)". SIGKDD Explorations, vol. 4, no. 2 (pp. 95--96), 2002. (PDF Document)

Conference and Workshop Papers

  • Huma Lodhi. "Deep Relational Machines" The 20th International Conference on Neural Information Processing (ICONIP 2013), 2013. (PDF Document) 
  •  Huma Lodhi, David Gilbert. "Bootstrapping Parameter Estimation in Dynamic Systems" The Fourteenth International Conference on Discovery Science (DS2011), 2011. (PDF Document)
  • Huma Lodhi, Stephen Muggleton and Mike J. E. Sternberg. "Learning Large Margin First Order Decision Lists for Multi-class Classification" The Twelfth International Conference on Discovery Science (DS 2009), 2009. (PDF Document)
  •  Huma Lodhi, Stephen Muggleton and Mike J. E. Sternberg. "Multi-Class Protein Fold Recognition using Large Margin Logic based Divide and Conquer Learning" STREBIO'09: Workshop on Statistical Relational Mining and Learning in Bioinformatics (with SIGKDD09 Conference), 2009. (PDF Document)
  • Stephen Muggleton, Huma Lodhi, Aata Amini and Mike J. E. Sternberg. "Support Vector Inductive Logic Programming". The Eighth International Conference on Discovery Science, 2005 (DS 2005). (PDF Document)
  •  Huma Lodhi and Stephen Muggleton. "Computing Confidence Measures in Stochastic Logic Programs". Fourth Mexican International Conference on Artificial Intelligence (MICAI), 2005. (PDF Document)
  •  Huma Lodhi and Stephen Muggleton. "Is Mutagenesis Still Challenging?". International Conference on Inductive Logic Programming, (ILP - Late-Breaking Papers), 2005. (PDF Document)
  •  Huma Lodhi and Stephen Muggleton, "Modelling Metabolic Pathways using Stochastic Logic Programs-Based Ensemble Methods". International Conference on Computational Methods in System Biology (CMSB), 2004. (PDF Document) 
  • Huma Lodhi and Yike Guo. "Gram-Schmidt Kernels Applied to Structure Activity Analysis for Drug Design". BIOKDD 2002: Second Workshop on Data Mining in Bioinformatics (with SIGKDD02 Conference), 2002. (PDF Document)
  • Nello Cristianini, John Shawe-Taylor and Huma Lodhi. "Latent Semantic Kernels". International Conference on Machine Learning (ICML), 2001. (PDF Document)
  •  Huma Lodhi, John Shawe-Taylor, Nello Cristianini and Chris Watkins. "Text Classification using String Kernels". Neural Information Processing Systems (NIPS 13), 2000. (PDF Document)
  •  Huma Lodhi, Grigoris Karakoulas and John Shawe-Taylor. "Boosting the Margin Distribution". Second International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2000. (PDF Document)
  •  Huma Lodhi, John Shawe-Taylor, Nello Cristianini¬°¬° and Chris Watkins. "Text Classification using String Kernels". European Conference on Principles and Practice of Knowledge Discovery in Databases, workshop Machine Learning and Textual Information Access, 2000.

Book Chapters

  • Huma Lodhi. "Advances in Computational Systems Biology". Elements of Computational Systems Biology, H. Lodhi and S. Muggleton (editors), Wiley, 2010. (PDF Document)
  • Huma Lodhi. "Learning Methodologies for Detection and Classification of Mutagens". Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, H. Lodhi and Y. Yamanishi (editors), Medical Information Science Reference (IGI Global), 2010.
  • Huma Lodhi. "On Bias-Variance Analysis for Probabilistic Logic Models". Breakthrough Discoveries in Information Technology Research: Advancing Trends, M. Khorsow-Pour (editor), IGI Global, 2009.
  • Stephen Muggleton, Huma Lodhi, Ata Amini and Mike J. E. Sternberg. "Support Vector Inductive Logic Programming". Innovations in Machine Learning, D. Holmes and L. C. Jain (editors), Springer, 2006.
  • Huma Lodhi, "Kernel Methods in Chemoinformatics", The Encyclopedia of Data Warehousing and Mining, J. Wang (editor), Idea Group Reference. 2005.

Patents

  • Stephen Muggleton, Huma Lodhi, Mike J. E. Sternberg and Ata Amini. "Support Vector Inductive Logic Programming". US Patent number: 8126823, Granted: 28/02/2012.