| A data-driven approach to extract operational signatures of HVAC systems and analyze impact on electricity consumption X Yu, S Ergan, G Dedemen Applied energy 253, 113497, 2019 | 56 | 2019 |
| Unifying ontological similarity measures: A theoretical and empirical investigation V Cross, X Yu, X Hu International Journal of Approximate Reasoning 54 (7), 861-875, 2013 | 47 | 2013 |
| Investigating ontological similarity theoretically with fuzzy set theory, information content, and Tversky similarity and empirically with the gene ontology V Cross, X Yu Scalable Uncertainty Management: 5th International Conference, SUM 2011 …, 2011 | 23 | 2011 |
| A fuzzy set framework for ontological similarity measures VV Cross, X Yu International Conference on Fuzzy Systems, 1-8, 2010 | 12 | 2010 |
| Super-sequence frequent pattern mining on sequential dataset X Yu, T Korkmaz 2013 IEEE International Conference on Big Data, 52-59, 2013 | 10 | 2013 |
| Mathematical and experimental investigation of ontological similarity measures and their use in biomedical domains X Yu Miami University, 2010 | 9 | 2010 |
| Hypergraph querying using structural indexing and layer-related-closure verification X Yu, T Korkmaz Knowledge and Information Systems 46, 537-565, 2016 | 7 | 2016 |
| PageRank influence analysis of protein-protein association networks in the malaria parasite Plasmodium falciparum X Yu, TG Lilburn, H Cai, J Gu, T Korkmaz, Y Wang International Journal of Computational Biology and Drug Design 10 (2), 137-156, 2017 | 6 | 2017 |
| Heavy path based super-sequence frequent pattern mining on web log dataset. X Yu, T Korkmaz Artif. Intell. Res. 4 (2), 1-12, 2015 | 6 | 2015 |
| Finding the most evident co-clusters on web log dataset using frequent super-sequence mining X Yu, T Korkmaz Proceedings of the 2014 IEEE 15th International Conference on Information …, 2014 | 3 | 2014 |
| Heavy path mining reveals novel protein-protein associations in the malaria parasite plasmodium falciparum X Yu, T Korkmaz, TG Lilburn, H Cai, J Gu, Y Wang 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014 | 2 | 2014 |
| Evident behavior analysis on adls X Yu, T Korkmaz 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014 | 2 | 2014 |
| Finding the Most Evident Co-Clusters on Web Log Dataset Using Frequent Super Sequence Mining., 2014 August, 13–15 X Yu, T Korkmaz San Francisco, California, USA, 529-536, 0 | 2 | |
| Heavy path mining of protein–protein associations in the malaria parasite X Yu, T Korkmaz, TG Lilburn, H Cai, J Gu, Y Wang Methods 83, 63-70, 2015 | 1 | 2015 |
| Hyper-sequence-graph mining X Yu The University of Texas at San Antonio, 2015 | 1 | 2015 |
| Transcriptomic and network analyses combine to identify genes that drive the red blood cell cycle of Plasmodium falciparum X Yu, H Zhang, TG Lilburn, H Cai, J Gu, T Korkmaz, Y Wang International Journal of Data Mining and Bioinformatics 18 (3), 179-195, 2017 | | 2017 |
| Just-in-time expression of influential genes in the cellular networks of the malaria parasite Plasmodium falciparum during the red blood cycle X Yu, H Zhang, TG Lilburn, H Cai, J Gu, T Korkmaz, Y Wang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | | 2016 |
Turgay Korkmazcomputer science, University of texas at San AntonioVerified email at cs.utsa.edu
