Research Publications for Harris T-H Lin

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Author's Publications

Publications ByLIN, Harris T-H

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  • Moon, J., Lin, H. T., & Eulenstein, O. (2016). Consensus properties and their large-scale applications for the gene duplication problem. Journal of Bioinformatics and Computational Biology, 14(03), 1642005. doi:10.1142/S0219720016420051

  • Lin, H. T., Moon, J., & Eulenstein, O. (2015). Consensus properties of the gene duplication problem for enhanced phylogenetic inference. In E. Saeed, & N. Haspel (Eds.), Proc 7th International Conference on Bioinformatics and Computational Biology (pp. 131-136). Honolulu, Hawaii.

  • Lin, H. T., Bui, N., & Honavar, V. (2015). Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies. In 2015 IEEE International Conference on Big Data (pp. 1807-1813). Santa Clara, CA: IEEE. doi:10.1109/BigData.2015.7363953

  • Lin, H. T. -H., Kinkel, N., & Strasburg, C. (2015). CyDIME: Cyber Dynamic Impact Modeling Engine [Computer Software]. Github. Retrieved from https://github.com/Ames-Laboratory-Cyber-Group/Cydime

  • Kinkel, N., Lin, H. T., & Strasburg, C. (2015). Advances in semantically augmented flow data for dynamic impact assessment, response selection, and alert prioritization. In FloCon 2015. Portland, Oregon, USA.

  • Strasburg, C., Lin, H. T., & Kinkel, N. (2014). Semantic flow augmentation for the automated discovery of organizational relationships. In FloCon 2014. Charleston, South Carolina, USA.

  • Lin, H. (2013). Learning classifiers from linked data. (PhD Thesis, Iowa State University). Retrieved from http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=4552&context=etd

  • Qi, L., Lin, H. T., & Honavar, V. (2013). Clustering remote RDF data using SPARQL update queries. In C. Y. Chan, J. Lu, K. Nørvåg, & E. Tanin (Eds.), 2013 IEEE 29th International Conference on Data Engineering Workshops (pp. 236-242). Brisbane, Australia: IEEE Computer Society. doi:10.1109/ICDEW.2013.6547456

  • Lin, H. T., & Honavar, V. (2013). Learning classifiers from chains of multiple interlinked RDF data stores. In Proc 2013 IEEE International Congress on Big Data (pp. 94-101). Santa Clara, Calfornia: IEEE Computer Society. doi:10.1109/BigData.Congress.2013.22

  • Lin, H. T., Lee, S., Bui, N., & Honavar, V. (2013). Learning classifiers from distributional data. In Proc 2013 IEEE International Congress on Big Data (pp. 302-309). Santa Clara, California: IEEE Computer Society. doi:10.1109/BigData.Congress.2013.47

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