| Epidemiological models of Mycobacterium tuberculosis complex infections C Ozcaglar, A Shabbeer, SL Vandenberg, B Yener, KP Bennett Mathematical Biosciences, 2012 | 147 | 2012 |
| TB-Lineage: An online tool for classification and analysis of strains of< i> Mycobacterium tuberculosis</i> complex A Shabbeer, LS Cowan, C Ozcaglar, N Rastogi, SL Vandenberg, B Yener, ... Infection, Genetics and Evolution, 2012 | 128 | 2012 |
| Towards deep and representation learning for talent search at linkedin R Ramanath, H Inan, G Polatkan, B Hu, Q Guo, C Ozcaglar, X Wu, ... Proceedings of the 27th ACM international conference on information and …, 2018 | 66 | 2018 |
| Talent search and recommendation systems at LinkedIn: Practical challenges and lessons learned SC Geyik, Q Guo, B Hu, C Ozcaglar, K Thakkar, X Wu, K Kenthapadi The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 57 | 2018 |
| Web tools for molecular epidemiology of tuberculosis A Shabbeer, C Ozcaglar, B Yener, KP Bennett Infection, Genetics and Evolution 12 (4), 767-781, 2012 | 52 | 2012 |
| Sublineage structure analysis of Mycobacterium tuberculosis complex strains using multiple-biomarker tensors C Ozcaglar, A Shabbeer, S Vandenberg, B Yener, KP Bennett BMC genomics 12 (Suppl 2), S1, 2011 | 25 | 2011 |
| Classification of email messages into topics using latent dirichlet allocation C Ozcaglar Rensselaer Theses and Dissertations Online Collection, 2008 | 19 | 2008 |
| Entity personalized talent search models with tree interaction features C Ozcaglar, S Geyik, B Schmitz, P Sharma, A Shelkovnykov, Y Ma, ... The World Wide Web Conference, 3116-3122, 2019 | 16 | 2019 |
| Contextual search ranking using entity topic representations C Ozcaglar, GCC Borje, SC Geyik, GS Gulati, K Thakkar US Patent 11,403,597, 2022 | 15 | 2022 |
| MFMS: Maximal frequent module set mining from multiple human gene expression data sets S Salem, C Ozcaglar Proceedings of the 12th International Workshop on Data Mining in …, 2013 | 13 | 2013 |
| Unsupervised learning of entity representations using graphs R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent 11,106,979, 2021 | 11 | 2021 |
| Techniques for querying user profiles using neural networks R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent 10,795,897, 2020 | 11 | 2020 |
| Optimal embedding of heterogeneous graph data with edge crossing constraints A Shabbeer, C Ozcaglar, M Gonzalez, KP Bennett Presented at NIPS Workshop on Challenges of Data Visualization, 1, 2010 | 11 | 2010 |
| Generating supervised embedding representations for search R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent App. 16/021,639, 2020 | 10 | 2020 |
| Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets S Salem, C Ozcaglar BioData Mining 7, 1-16, 2014 | 10 | 2014 |
| Feedback-based update of candidate recommendations K Kenthapadi, C Ozcaglar US Patent App. 16/682,968, 2021 | 7 | 2021 |
| Generalized linear mixed models for improving search C Ozcaglar, X Wu, J Yang, A Gupta, AR Nair US Patent 10,769,136, 2020 | 6 | 2020 |
| Applying learning-to-rank for search R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent App. 16/021,692, 2020 | 6 | 2020 |
| The AI behind LinkedIn recruiter search and recommendation systems Q Guo, SC Geyik, C Ozcaglar, K Thakkar, N Anjum, K Kenthapadi Retrieved August 7, 2019, 2019 | 6 | 2019 |
| Knowledge-based Bayesian network for the classification of Mycobacterium tuberculosis complex sublineages M Aminian, A Shabbeer, K Hadley, C Ozcaglar, S Vandenberg, ... Proceedings of the 2nd ACM Conference on Bioinformatics, Computational …, 2011 | 6 | 2011 |
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
