Cagri Ozcaglar
Cagri Ozcaglar
Senior Machine Learning Engineer, Facebook
Verified email at - Homepage
Cited by
Cited by
Epidemiological models of Mycobacterium tuberculosis complex infections
C Ozcaglar, A Shabbeer, SL Vandenberg, B Yener, KP Bennett
Mathematical Biosciences, 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
Web tools for molecular epidemiology of tuberculosis
A Shabbeer, C Ozcaglar, B Yener, KP Bennett
Infection, Genetics and Evolution 12 (4), 767-781, 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
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
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
Classification of email messages into topics using latent dirichlet allocation
C Ozcaglar
Rensselaer Theses and Dissertations Online Collection, 2008
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
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
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
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
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
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
Visualization of tuberculosis patient and Mycobacterium tuberculosis complex genotype data via host-pathogen maps
KP Bennett, C Ozcaglar, J Ranganathan, S Raghavan, J Katz, D Croft, ...
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International …, 2011
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
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
Inferred spoligoforest topology unravels spatially bimodal distribution of mutations in the DR region
C Ozcaglar, A Shabbeer, N Kurepina, N Rastogi, B Yener, KP Bennett
NanoBioscience, IEEE Transactions on 11 (3), 191-202, 2012
Algorithmic data fusion methods for tuberculosis
C Ozcaglar
Rensselaer Polytechnic Institute, 2012
Feedback-based update of candidate recommendations
K Kenthapadi, C Ozcaglar
US Patent App. 16/682,968, 2021
Generating supervised embeddings using unsupervised embeddings
R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik
US Patent App. 16/021,654, 2020
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