Recent Papers:
Journal Papers
1. Rudniy, A., Song, M., Geller, J. (2010) Detecting Duplicate Biological Entities Using Shortest Path Edit Distance, to be published in 2010, International Journal of Data Mining and Bioinformatics.
2. Song, M. and Rudniy, A. (2010) Detecting Duplicate Biological Entities using Markov Random Field-based Edit Distance, to be published in 2010 Knowledge and Information Systems.
3. Song, M. and Liu, H. (2009) AbbrevExtractor: a Robust Extraction Technique for Biomedical Literature, to be published in 2009, International Journal of Functional Informatics and Personalised Medicine, vol. 2, no. 3.
4. Song, M. Hu, X., Koppel, E. Yoo, I.Y. (2009) A Dynamic and Semantically-aware Technique for Document Clustering in Biomedical Literature, (Accepted) International Journal of Data Warehousing and Mining (IJDWM), vol. 5, no. 4.
5. Duan, W., Song, M., Yates, A. (2009). Fast Max-margin Clustering for Unsupervised Word Sense Disambiguation in Biomedical Texts. BMC Bioinformatics, 2009, 10(Suppl 3):S4.
Conference Papers
1. Song, M. and Murillo, J. (2009) An Outcome Discovery System to Determine Mortality Factors in Primary Care Facilities, DTMBIO 09.
2. Song, M., Ljaz, A.Z., and Lee, D. (2009) MKEM: a Multi-level Knowledge Emergence Model for Mining Undiscovered Public Knowledge, DTMBIO 09
3. Song, M., Ruecker, S., and Youngman, P. (2009) Indications of Emotional Connection: Epistolary Text Mining for Intimate Language, BookOnline 09, October 2, Corfu, Greece
4. Song, M., Ho, S.M., Bieber, M., Koppel, E., Hamidullah, V., and Bokota, P. (2009) A scalable Digital Library Infrastructure Expands Search and Beyond (2009) Ind, BookOnline 09, October 2, Corfu, Greece
5. Qi, T., Zhang, Y., and Song, M. (2009). Text Mining for Bioinformatics: State of the Art Review, 2009 the 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2009).
6. Qi, T., Yagci, A., and Song, M. (2009). Extraction of Key-phrases from Biomedical Full-text with Supervised Learning Techniques, 15th Americas Conference on Information Systems.
7. Bleik, S., Smalter, A., Song, M., Huan, J. and Lushington, G. (2009) CGM: A Biomedical Text Categorization Approach Using Concept Graph Mining, Workshop of Applications of Machine Learning in Bioinformatics in conjunction with BIBM 09.