Kim IC, Le DX, Thoma GR.Hybrid approach combining contextual and statistical information for identifying and statistical information for identifying MEDLINE citation terms. Proc. SPIE-IS/T Electronic Imaging. San Jose, CA. January 2008;6815:68150P(1-9)
Kim IC, Le DX, Thoma GR.Identification of "comment-on sentences" in online biomedical documents using support vector machines. Proc. SPIE conference on Document Recognition and Retrieval, 6500:65000O (1-8), San Jose, January 2007.
Kim J, Le DX, Thoma GR.Identification of Investigator Name Zones Using SVM Classifiers and Heuristic Rules. 12th international Conference on Document Analysis and Recognition (ICDAR). Washington D.C., August 2013.
Kim I, Le DX, Thoma GR.Identifying “comment-on” citation data in online biomedical articles using SVM-based text summarization technique. Proc. Int’l Conf. Artificial Intelligence (ICAI’12), vol. 1, pp. 431-437, Las Vegas, July 2012.
Zhang X, Zou J, Le DX, Thoma GR.Investigator Name Recognition From Medical Journal Articles: A Comparative Study of SVM and Structural SVM International Workshop on Document Analysis Systems. June 2010:121-8
Kim J, Hong S, Thoma GR.Labeling Author Affiliations in Biomedical Articles Using Markov Model Classifiers. The 13th International Conference on Data Mining (DMIN2017), pp. 105-110, Las Vegas, USA, July 2017.
Zou J, Antani SK, Thoma GR.Localizing and Recognizing Labels for Multi-Panel Figures in Biomedical Journals. Proceedings of International Conference on Document Analysis and Recognition, November 13, 2017
Kim I, Thoma GR.Machine Learning with Selective Word Statistics for Automated Classification of Citation Subjectivity in Online Biomedical Articles. Proc. Int’l Conf. Artificial Intelligence (ICAI’17), pp. 201-207, Las Vegas, July 2017.
Rae A, Kim J, Le DX, Thoma GR.Main Content Detection in HTML Journal Articles. DocEng ’18: ACM Symposium on Document Engineering 2018, August 28–31, 2018, Halifax, NS, Canada. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3209280.3229115
Xue Z, Rahman M, Antani SK, Long LR, Demner-Fushman D, Thoma GR.Modality Classification for Searching Figures in Biomedical Literature. Proceedings of the IEEE 29th International Symposium on Computer-Based Medical Systems, pp. 152-157, 2016. doi:10.1109/CBMS.2016.29.
Kim J, Le DX, Thoma GR.Naive Bayes and SVM Classifiers For Classifying Databank Accession Number Sentences From Online Biomedical Articles IS&T/SPIE's 22nd Annual Symposium on Electronic Imaging. San Jose, CA. January 2010;7534:75340U-1 - 8
Kim J, Le DX, Thoma GR.Naive Bayes Classifier for Extracting Bibliographic Information From Biomedical Online Articles Proc 2008 International Conference on Data Mining. Las Vegas, Nevada, USA. July 2008;II:373-8
Kim J, Thoma GR.Named Entity Recognition in Affiliations of Biomedical Articles Using Statistics and HMM Classifiers. The 2016 International Conference on Data Mining (DMIN2016), Las Vegas, USA, pp. 236-241, July, 2016.
Mrabet Y, Kilicoglu H, Demner-Fushman D.TextFlow: A Text Similarity Measure based on Continuous Sequences. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017, Vancouver, Canada, July 30 - August 4, Volume
Misra D, Thoma GR.Use of descriptive metadata as a knowledgebase for analyzing data in large textual collections. Proc. IS&T Archiving 2013. Washington D.C. Proc. IS&T Archiving 2013. Washington D.C. pg 193-199.