Book:

Evaluating Learning Algorithms: A Classification Perspective, Cambridge University Press, 2011,
with Nathalie Japkowicz.

Paperback edition available now (April 2014)

For more information, please visit the book webpage: Click here.

Proceedings:

N. Chawla, B. Krishnapuram, M. Kumar, M. Shah and J. Sun (Eds.), Proceedings of the Workshop on Data Mining for Healthcare, KDD 2013.

Thesis:

M. Shah, Sample Compression, Margins and Generalization: Extensions to the Set Covering Machine, University of Ottawa, Canada, May, 2006.

A bound copy can be purchased here.

Refereed Journal Publications and Book Chapters

(Note: ** indicates author names in alphabetical order)

Z. Karimaghaloo, M. Shah, S. Francis, D. Arnold, D. L. Collins, and T. Arbel. Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields., in IEEE Transactions on Medical Imaging (TMI), 31(6), 1181--1194, 2012

M. Shah, M. Marchand, and J. Corbeil. Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data., in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 34(1), 174--186, 2012

M. Sirois, L. Robitaille, R. Allary, M. Shah, C. H. Woelk, J. Estaquier and J. Corbeil. TRAF6 and IRF7 Control HIV Replication in Macrophages, in PLoS ONE, 6(11):e28125, doi:10.1371/journal.pone.0028125, 2011

M. Shah, Y. Xiao, N. Subbanna, S. Francis, D. L. Arnold, D. L. Collins and T. Arbel. Evaluating intensity normalization on MRIs of human brain with multiple sclerosis., in Medical Image Analysis,15, 267--282, 2011

M. Shah, and J. Corbeil. A General Framework for Analyzing Data from Two Short Time-Series Microarray Experiments., in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(1), 14--26, 2011

**F. Laviolette, M. Marchand, M. Shah and S. Shanian. Learning the Set Covering Machine by Bound Minimization and Margin-Sparsity Trade-off, in Machine Learning, 78(1-2), 275--301 Springer, 2010

M. Shah, M. Sokolova and S. Szpakowicz. Process-Specific Information for Learning E-Negotiation Outcomes, in Fundamenta Informaticae, 74(2-3), 351--373, 2006

M. Sokolova, M. Shah and S. Szpakowicz. Comparative Analysis of Data from Successful Face-to-Face and E-Negotiation, in Group Decision and Negotiation, 15(2), 127--140 Springer, 2006

M. Sokolova, V. Nastase, M. Shah and S. Szpakowicz. Feature Selection for Electronic Negotiation Texts, in E-Negotiation-An Introduction, R. Kumar and J. Banda (eds.), the ICFAI University Press, ISBN: 81-314-0448-X, 2006.

M. Sokolova, V. Nastase, S. Szpakowicz and M. Shah. Analysis and Models of Language in Electronic Negotiations, in M. Draminski, P. Grzegorzewski, K. Trojanowski, S. Zadrozny (eds.), Issues in Intelligent Information Systems, Models and Techniques, Akademicka Oficyna Wydawnicza EXIT, Warszawa, 2005, ISBN: 83-87674-91-5, 197-211

Refereed Conferences and Workshop Publications

(Note: ** indicates author names in alphabetical order)

C. Brasco, N. Eklund, M. Shah, and D. Marthaler. Predictive Modeling of High-Bypass Turbofan Engine Deterioration, in the Proceedings of the Annual Conference of the Prognostics and Health Management Society (PHM 2013) , 2013.

B. Deb, M. Shah, S. Evans, M. Mehta, A. Gargulak and T. Lasky. Towards System Level Prognostics in the Cloud: Assuring Availability and Quality of Service of Cloud hosted Systems, to appear in the Proceedings of the IEEE International Conference on Prognostics and Health Management (PHM) , 2013.

M. Shah. Generalized Agreement Statistics over Fixed Group of Experts, in the Proceedings of European Conference on Machine Learning (ECML), Part III, Lecture Notes in Artificial Intelligence, vol. 6913, 191--206 Springer, 2011.

K. Abou-Moustafa, M. Shah, F. De La Torre and F. Ferrie. Relaxed Exponential Kernels for Unsupervised Learning, in the Proceedings of the 33rd international conference on Pattern recognition (DAGM), 184--195, Springer-Verlag, Berlin, Heidelberg, 2011.

H. Pirzadeh, A. Hamou-Lhadj and M. Shah. Exploiting text mining techniques in the analysis of execution traces, in the Proceedings of 27th IEEE International Conference on Software Maintenance (ICSM), 223--232, IEEE Computer Society, 2011.

M. Kumar, R. Ghani M. Shah, J. G. Carbonell and A. I. Rudnicky. Framework for interactive classification problems, in the Proceedings of ICML 2011 workshop on Combining Learning Strategies to Reduce Label Cost, 2011..

M. Sirois, L. Robitaille, M. Shah, C. Woelk, J. Estaquier and J. Corbeil. TRAF6 and IRF7 Control HIV Replication in Macrophages (Abs. 225), in 18th Conference on Retroviruses and Opportunistic Infections (CROI-2011), Boston, MA, USA, 2011.

Z. Karimaghaloo, M. Shah, S. Francis, D. Arnold, D. L. Collins and T. Arbel. Detection of Gad-enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields, in the Proceedings of 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2010) 3, Lecture Notes in Computer Science, vol. 6363, 41--48 Springer, 2010.

Y. Xiao, M. Shah, S. Francis, D. Arnold, T. Arbel and D. L. Collins. Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple Sclerosis, in the Proceedings of 1st International Workshop on Machine Learning in Medical Imaging (MLMI) in conjunction with the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2010), Lecture Notes in Computer Science, vol. 6357, 165--173, Springer, 2010.

M. Shah. Risk Bounds for Randomized Sample Compressed Classifiers, in Advances in Neural Information Processing Systems (NIPS) 21, 1449--1456, MIT Press, Cambridge, MA, USA, 2009

M. Sirois, L. Robitaille, M. Shah, C. Woelk and J. Corbeil. Modulation of TRAF6 by HIV-1 in Interferon-a2-treated Human Monocyte-derived Macrophages (Abs. 271), in 16th Conference on Retroviruses and Opportunistic Infections (CROI-2009), Montreal, Canada, 2009.

M. Shah, Y. Xiao, S. Francis, D. Arnold, D. L. Collins and T. Arbel. Effectiveness of Intensity Normalization on Human Brain MRIs with Multiple Sclerosis, in the MICCAI Workshop on Medical Image Analysis on Multiple Sclerosis (MIAMS 2009), 37--48, London, UK, September 2009. [slides(pdf)]

N. K. Subbanna, M. Shah, S. Francis, S. Narayanan, D. L. Collins, D. Arnold and T. Arbel. MS Lesion Segmentation using Markov Random Fields, in the MICCAI Workshop on Medical Image Analysis on Multiple Sclerosis (MIAMS 2009), 37--48, London, UK, September 2009. [slides(pdf)]

M. Shah and S. Shanian. Hold-out Risk Bounds for Classifier Performance Evaluation, in the 4th ICML Workshop on Evaluation Methods for Machine Learning, Montreal, Canada, 2009.

M. Shah. Risk Bounds for Classifier Evaluation: Possibilities and Challanges, in 3rd ICML Workshop on Evaluation Methods for Machine Learning, Helsinki, Finland, 2008.

M. Sirois, L. Robitaille, M. Shah, C. Woelk and J. Corbeil. HIV Modulates Host Gene Expression in Macrophages after IFN Alpha2 Treatment (Abs. 381), in 15th Conference on Retroviruses and Opportunistic Infections (CROI-2008), Boston, MA, USA, 2008.

M. Shah. Sample Compression Bounds for Decision Trees, in the Proceedings of the 24th International Conference on Machine Learning (ICML-2007), 799--806, ACM Press, New York, NY, USA, 2007

**F. Laviolette, M. Marchand and M. Shah. A PAC-Bayes approach to the Set Covering Machine, in Advances in Neural Information Processing Systems (NIPS) 18, 731--738, MIT Press, Cambridge, MA, USA, 2006

M. Sokolova, V. Nastase, M. Shah and S. Szpakowicz. Feature Selection for Electronic Negotiation Text, in the Proceedings of the 5th International Conference on Recent Advances in Natural Language Processing (RANLP), 518--524, 2005

**F. Laviolette, M. Marchand and M. Shah. Margin-Sparsity trade-off for the Set Covering Machine, in the Proceedings of the 16th European Conference on Machine Learning (ECML), Springer LNAI vol. 3720, 206--217, 2005

**M. Marchand and M. Shah. PAC-Bayes Learning of Conjunctions and Classification of Gene Expression Data, in Advances in Neural Information Processing Systems (NIPS) 17, 881--888, MIT Press, Cambridge, MA, USA, 2005

M. Sokolova, M. Shah and S. Szpakowicz. Comparative Analysis of Text Data in Face-to-Face and Electronic Negotiations, in Proceedings of the Workshop on Informal and Formal Information Exchange during Negotiations, Ottawa, 31--42, 2005

M. Shah, M. Sokolova and S. Szpakowicz. The Role of Domain Specific Knowledge in Classifying the Language of E-Negotiations, in the Proceedings of International Conference on Natural Language Processing, ICON 2004, 99--108, Hyderabad, India, 2004

**M. Marchand, M. Shah, J. Shawe-Taylor and M. Sokolova. The Set Covering Machine with Data-dependent Half-spaces, in the Proceedings of the 20th International Conference on Machine Learning (ICML), 520--527, Morgan Kaufmann, San Francisco, CA, USA, 2003

Other Contributions

M. Shah, M. Marchand and J. Corbeil. Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data, eprint arXiv:1005.0530, May, 2010

M. Shah, M. Marchand. Learning Rays’ Conjunction for Classifying DNA Microarray Data, IRIS Machine Learning Workshop, Ottawa, Canada, 2004

M. Shah, M. Sokolova and S. Szpakowicz. Using Domain Specific Knowledge to Classify E-Negotiations, InterNeg Working Paper, INR 07/04. (http://interneg.org)