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Journal Articles and Book Chapters

• Menor, M., Baek, K., and Poisson, G., Multiclass relevance units machine: Benchmark evaluation and application to small ncRNA discovery. BMC Genomics, 14(Suppl 2):S6, 2013. (This is an extended version of the ISCB-Asia/SCCG 2012 paper.)
• Menor, M., Baek, K., and Poisson, G., Probabilistic prediction of protein phosphorylation sites using classification relevance units machines. ACM SIGAPP Applied Computing Review, Vol.12, No.4, pp.8-20, 2012. (This is an extended version of the ACM-SAC 2012 paper, which was invited to be published by ACR.)
• Sajda, P., Baek, K., and Finkel, L., Bayesian networks for modeling cortical integration. Handbook of Neural Engineering, M. Akay (Editor), Wiley/IEEE Press, 2007.
• Draper, B.A., Elliott, D.L., Hayes, J., and Baek, K., EM in high dimensional spaces. IEEE Transactions on Systems, Man and Cybernetics, Vol.35, No.3, pp.571-577, 2005. [pdf]
• Baek, K. and Sajda, P., Inferring figure-ground using a recurrent integrate-and-fire neural circuit. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.13, No.2, pp.125-130, 2005. [pdf]
• Sajda, P. and Baek, K., Integration of form and motion within a generative model of visual cortex. Neural Networks: Special Issue on Vision and Brain, Vol.17, pp.809-821, 2004. [pdf]
Also appeared in S. Grossberg, L. Finkel, and D.J. Field, editors, Vision and Brain: how the brain sees - new approaches to computer vision, Amsterdam: Elsevier Science.
• Draper, B.A., Baek, K., and Boody, J., Implementing the expert object recognition pathway. Machine Vision and Applications, Vol.16, No.1, pp.27-32, 2004. @Springer-Verlag, [pdf]
• Draper, B.A., Baek, K., Bartlett, M.S., and Beveridge, J.R., Recognizing faces with PCA and ICA. Computer Vision and Image Understanding, Vol.91, pp.115-137, 2003. [pdf]
• Draper, B.A., Bins, J., and Baek, K., ADORE: Adaptive object recognition. Videre, Vol.1, No.4, pp.86-99, 2000. [pdf]
• Lee, R., Baek, K., Han, H., Jung, W., Jung, H., Im, K.,  Park, M., and Ihm, I., SGRT: Design and implementation of an advanced rendering system. Journal of Korea Information Science Society (C), Vol.4, No.5, pp.633-643, 1998.
• Baek, K. and Ihm, I., SGVR: A collaborative volume visualization system. Journal of Korea Information Science Society (A), Vol.24, No.5, pp.417-428, 1997.
• Lee, R., Baek, K., and Ihm, I., Enhancing the speed of splatting with indexing and implementation of the user interface. Journal of Korea Information Science Society (A), Vol.23, No.5, pp.443-453, May, 1996.

• Menor, M., Baek, K., and Poisson, G., Multiclass relevance units machine: Benchmark evaluation and application to small ncRNA discovery. ISCB-Asia/SCCG 2012 Proceedings Track, Shenzhen, China, December 17-19, 2012.
• Menor, M., Poisson, G., and Baek, K., Probabilistic prediction of protein phosphorylation sites using kernel machines. The 27th ACM Symposium on Applied Computing (ACM-SAC 2012) Conference Track on Bioinformatics and Computational Systems Biology (BIO), Riva Del Garda Congress Center, Italy, March, pp.1393-1398, 2012.
• Menor, M. and Baek, K., Relevance units machine for classification. Proceedings of the 4th International Conference on BioMedical Engineering and Informatics, Shanghai, China, October 15-17, pp.2281-2285, 2011.
• Belcaid, M., Baek, K., Haymer, D., and Poisson, G., Efficient clustering of populations using a minimal SNP panel. Proceedings of the 26th ACM Symposium on Applied Computing (ACM-SAC 2011) Conference Track on Bioinformatics and Computational Systems Biology (BIO), Taichung, Taiwan, March 21-24, pp.83-88, 2011.
• Fabel, S., Baek, K., and Berkelman, P., Robotic surgical instrument wrist pose estimation. Proceedings of the 32nd Annual International Conferene of the IEEE Engineering in Medicine and Biology Society (EMBS'10), Buenos Aires, Argentina, August 31-September 4, pp.971-974, 2010.
• Menor, M., Baek, K., Belcaid, M., Gingras, Y., and Poisson, G., Virus DNA-fragment classification using taxonomic Hidden Markov Model profiles. Proceedings of the 25th ACM Symposium on Applied Computing (ACM-SAC 2010) Conference Track on Bioinformatics and Computational Systems Biology (BIO), Sierre, Switzerland, March 22-26, pp.1567-1571, 2010.
• Baek, K., Kim, D.H., and Sajda, P., Inferring direction of figure using a recurrent integrate-and-fire neural circuit. Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'04), San Francisco, California, September 1-5, pp.4576-4579, 2004.
• Baek, K. and Sajda, P., A probabilistic network model for integrating visual cues and inferring intermediate-level representations. IEEE Workshop on Statistical and Computational Theories of Vision (SCTV'03), Nice, France, October 12, 2003. [pdf]
• Draper, B.A., Baek, K., and Boody, J., Implementing the expert object recognition pathway. Winner: Best Cognitive Vision Paper Award, International Conference on Vision Systems, Graz, Austria, April 1-3, 2003.
  Lecture Notes in Computer Science, Springer-Verlag, Vol. 2626, pp.1-11, 2003. [pdf]
• Baek, K. and Draper, B.A., Factor analysis for background suppression. International Conference on Pattern Recognition (ICPR '02), Quebec, Canada. August 11-15, 2002. [pdf]
• Draper, B.A., Baek, K., and Boody, J., A biologically plausible approach to cat and dog discrimination. Joint IAPR International Workshops on Statistical, Syntactical and Structural Pattern Recognition (SSSPR'02), Windsor, Canada, August 6-9, 2002.
  Lecture Notes in Computer Science, Springer-Verlag, Vol. 2396, pp.779-788, 2002. [pdf]
• Baek, K., Draper, B.A., Beveridge, J.R., and She, K., PCA vs. ICA: A comparison on the FERET data set. The 6th Joint Conference on Information Sciences, Durham, North Carolina, March 8-14, pp.824-827, 2002. [pdf]
• Draper, B.A. and Baek, K., Unsupervised learning of biologically plausible object recognition strategies. IEEE International Workshop on Biologically Motivated Computer Vision (BMCV '00), Seoul, Korea, May 15-17, 2000.
  In S.-W. Lee, H. H. Buelthoff, and T. Poggio, editors, Biologically Motivated Computer Vision, Lecture Notes in Computer Science, Springer-Verlag, Vol. 1811, pp.238-247, 2000. [pdf]
• Draper, B.A., Bins, J., and Baek, K., ADORE: Adaptive object recognition. International Conference on Vision Systems, Los Palmas, Gran Canaria, Spain, Jan. 13-15, 1999.
  Lecture Notes in Computer Science, Springer-Verlag, Vol. 1542, pp.522-537, 1999. [pdf]
• Draper, B.A. and Baek, K., Bagging in Computer Vision. IEEE Conference on Computer Vision and Pattern Recognition, CVPR'98, Santa Barbara CA, June 23-25, pp. 144-149, 1998. [pdf]
• Lee, R., Baek, K., Han, H., Jung, W., Eo, S., and Ihm, I., Design and implementation of an advanced rendering system. The Korea Information Science Society Fall Conference, Yongin, Korea, October, 1996.
• Rhee, T., Baek, K., Lee, R., and Ihm, I., Case study: Construction of sogang volume rendering system V0.55. Computer Graphics Society '95, pp.112-114, Seoul, Korea, November, 1995.
• Baek, K., Rhee, T., Lee, R., and Ihm, I., SGVR: Construction of scientific visualization system for collaboration. Proceedings of  the 22nd Korea Information Science Society Fall Conference, Vol.22, No.2, pp. 563-566, Incheon, Korea, October, 1995.

• Belcaid, M., Poisson, G., Schanzenbach, D., and Baek, K., Inferring hierarchical population structure through a consensus of significant evolutionary events, 15th Annual International Conference on Research in Computational Molecular Biology (RECOMB'11), Vancouver, BC, Canada, March 28-31, 2011.
• Baek, K. and Sajda, P., A probabilistic network model of the influence of local figure-ground representations on the perception of motion. The 5th Annual Vision Sciences Society (VSS) Meeting, Sarasota, Florida, May 6-11, 2005.
[pdf]

• Menor, M., Baek, K., and Poisson G., Multiple-genome annotation of genome fragments using hidden markov model profiles, Technical Report, Dept. of ICS, University of Hawaii at Manoa, Jan. 2008.