Z. Xiang and K. P. Bennett, Multitask Transfer Using Multiple Latent Analysis, workshop on Inductive Transfer: 10 Years Later Workshop at Neural Information Processing Systems Conference, December 2005, Whistler, Canada.

K. Bennett, C. Bergeron, E. Acar, R. Klees. S. Vandenberg, B. Yener, and G. Plopper, Multiple routes to the osteogenic phenotype in mesenchymal stem cells, BMC Genomics, under review, 2007.

G. Kunapuli, K. Bennett, J. Hu, and J.-S. Pang, Classification Model Selection via Bilevel Programming, Computational Optimization and Applications, to appear 2007.

P. Agius, B. Kreiswirth, N. Kurepina, and K. P. Bennett, Typing Staphylococcus aureus using the spa gene and novel distance measures, IEEE Transactions on Computational Biology and Bioinformatics, to appear, 2007.

C. Bergeron, T. Hepburn, M. Sundling, N. Sukumar, W. P. Katt, K. P. Bennett, C. M. Breneman, Prediction of peptide bonding affinity: Kernel methods for nonlinear modeling, Protein Peptide Lett, in press, 2008.

R. Klees, R. Salasznyk, S. Vandenberg, K. Bennett, and G. Plopper, "Laminin-5 Activates Extracellular Matrix Production and Osteogenic Gene Focusing in Human Mesenchymal Stem Cells", Matrix Biology, 2007.

L. Han, M. Embrechts and K. Bennett, Kernel-based Multiple Response Latent Analysis with Entropy Loss Function, submitted to International Joint Conference on Neural Networks, 2007.

Kristin P. Bennett, Emilio Parrado-Hernandez, The Interplay of Optimization and Machine Learning Research, Journal of Machine Learning Research,7(Jul):1265--1281, 2006.

I. Vitol, J. Driscoll, B. Kreiswirth, N. Kurepina, and K. P. Bennett, Identifying Mycobacterium tuberculosis complex Families using Spoligotypes, Infection, Genetics and Evolution, Nov;6(6):491- 504, 2006.

K. P. Bennett, J. Hu, G. Kunapuli, and J.-S. Pang, "Model Selection via Bilevel Optimization", Proceedings of the International Joint Conference in Neural Networks, Vancouver, 2006.

Zhiwei Zhu, Qiang Ji, Kristin P. Bennett: Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. ICPR (1) 2006: 1132-1135

Momma, M.; Bennett, K. (2005) "Constructing Orthogonal Latent Features for Arbitrary Loss", Feature Extraction, Foundations and Applications, Isabelle Guyon, Steve Gunn, Masoud Nikravesh, and Lofti Zadeh, editors, Springer, 2006.

Xiang, Z ; Bennett, K. , Cramer, S ; Breneman, C. Inductive Transfer using Kernel Multitask Latent Analysis, Proceedings or Workshop on Inductive Transfer, Neural Information Processing Systems, December 2005.

Bennett K. P.; Embrechts M. J. (2003) "An Optimization Perspective on Kernel Partial Least Squares Regression" in J.A.K. Suykens et. al., eds., Advances in Learning Theory: Methods, Models and Applications, NATO-ASI Series in Computer and System Sciences, IOS Press, Amsterdam, The Netherlands, 227-246.

Breneman, C. M.; Bennett, K. P.; Embrechts, M. J.; Cramer, S. M.; Song, M.; Bi, J.; Sukumar, N. (2002) "Descriptor Generation, Selection and Model Building in Quantitative Structure-Property Analysis" in Experimental Design for Combinatorial and High Throughput Materials Development, Cawse, J. N. (ed), John Wiley, New York, 203-238.

Campbell, C.; Bennett, K. P. (2001) "A Linear Programming Approach to Novelty Detection" Advances in Neural Information Processing Systems, Vol. 14, MIT Press.

Bennett, K.; Campbell, C. (2000) SIGKDD Explorations 2, 1-13.