Research Interests
Part of my current research is on defining and providing quantifiable uncertainties of predictive models with focus on spatial and temporal graphical models and deep learning models. I am also dealing with many problems in the analysis of big data from heterogeneous sources with integration of qualitative knowledge in fields of medicine/healthcare and ad sciences.
Journal Publications
- Zhou, F., Gillespie, A., Gligorijevic, Dj., Gligorijevic, J., Obradovic, Z. (in press) " Use of Disease Embedding Technique to Predict the Risk of Progression to End-Stage Renal Disease," Journal of Biomedical Informatics
(Impact Factor: 2.950)
[link] [PDF] - Gligorijevic, J.*, Gligorijevic, Dj.*, Pavlovski, M., Milkovitz, E., Glass, L., Grier, K., Vankireddy, P., Obradovic, Z, (2019) " Optimizing Clinical Trials Recruitment via Deep Learning," Journal of the American Medical Informatics Association.
*Authors contributed equally.
(Impact Factor: 4.270)
[link] [PDF] - Ljubic, B., Gligorijevic, Dj., Gligorijevic, J., Pavlovski, M., Obradovic, Z. (2019) " Social Network Analysis for better Understanding of Influenza," Journal of Biomedical Informatics, vol. 93, May 2019, 103161.
(Impact Factor: 2.882)
[link] [PDF] - Mikovic, R., Arsic, B., Gligorijevic, Dj., Gacic, M., Petrovic, D., Filipovic, N. (2019) " The influence of social capital on knowledge management maturity of nonprofit organizations - predictive modelling based on a multilevel analysis," IEEE Access, IEEE, pp. 47929 - 47943, 2019, April 11, doi 10.1109/ACCESS.2019.2909812.
(Impact Factor: 3.557)
[link] [PDF] [bibtex] - Gligorijevic, J.*, Gligorijevic, Dj.*, Stojkovic, I., Bai, X., Goyal, A., Obradovic, Z. (2019) " Deeply Supervised Model for Click-Through Rate Prediction in Sponsored Search," Data Mining and Knowledge Discovery, Springer, 2019, April 3, doi 10.1007/s10618-019-00625-3.
*Authors contributed equally.
(Impact Factor: 2.481)
[link] [ArXiV pre-print] [bibtex] - Gligorijevic, Dj., Stojanovic, J., Djuric, N., Radosavljevic, V., Grbovic, M., Kulathinal, R.J., Obradovic, Z. (2016) " Large-Scale Discovery of Disease-Disease and Disease-Gene Associations," Scientific Reports, Nature Publishing Group, 2016, Aug 31, 6:32404 doi 10.1038/srep32404.
(Impact Factor: 5.578)
[link] [PDF] [bibtex]
Data (disease2vec and disease&gene2vec vectors): [README] [disease vectors] [disease&gene vectors] [Disease string to ICD9 code mapping] - Gligorijevic, Dj., Stojanovic, J., Obradovic, Z. (2016) " Disease Types Discovery from a Large Database of Inpatient Records: A Sepsis Study," Methods, Elsevier, Jul 28. S1046-2023(16)30232-8, doi:10.1016/j.ymeth.2016.07.021.
(Impact Factor: 3.645)
[link] [PDF] [bibtex] - Stojanovic, J., Gligorijevic, Dj., Radosavljavic, V., Djuric, N., Grbovic, M., Obradovic, Z. (2016) " Modeling Healthcare Quality via Compact Representations of Electronic Health Records," IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE, 2016, July 14, doi 10.1109/TCBB.2016.2591523.
(Impact Factor: 1.609)
[link] [PDF] [bibtex]
Data (disease&procedures2vec vectors): [README] [Medicare] [Medicaid] [Private] [Self pay] [Disease string to ICD9 code mapping] [Procedure string to ICD9 code mapping]
Conference Publications
- Pan, S., Kitts, B., Zhou, T., He, H., Shetty, B., Flores, A., Gligorijevic, Dj., Pan, J., Mao, T., Gultekin, S., Zhang, J. (2020) "Bid Shading by Auction Clearing Price Prediction and Fast Surplus Maximization Search", AdKDD workshop 2020 at the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Diego, California, August 23, 2020
[bibtex] - Pavlovski, M., Gligorijevic, J., Stojkovic, I., Agrawal, S., Komirishetty, S., Gligorijevic, Dj., Bhamidipati, N., Obradovic, Z. (in press) "Time-Aware User Embeddings as a Service," Proc. 26th ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD 2020), San Diego, Aug. 2020.
[PDF] [bibtex] - Gligorijevic, Dj., Gligorijevic, J., Flores, A. (2019) " Time-Aware Prospective Modeling of Users for Online Display Advertising,", AdKDD workshop 2019 at the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Anchorage, Alaska, August 5, 2019
*Runner-up best paper award
[PDF] [slides] [bibtex] - Stojkovic, I., Jelisavcic, V., Gligorijevic, J., Gligorijevic, Dj., Obradovic, Z. (2019) " Decomposition Based Reparameterization for Efficient Estimation of Sparse Gaussian Conditional Random Fields," 36th International Conference on Machine Learning (ICML) Workshop on Tractable Probabilistic Modeling (TMP), Long Beach, CA, June 2019
[PDF] [bibtex] - Dokic, T., Pavlovski, M., Gligorijevic, Dj., Kezunovic, M., Obradovic, Z. (2019) " Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission," Proc. 52nd IEEE Hawaii International Conference on System Science (HICSS), Maui, Hawaii, January 2019.
[PDF] [bibtex] - Gligorijevic, Dj., Gligorijevic, J., Raghuveer, A., Grbovic, M., Obradovic, Z. (2018) " Modeling Mobile User Actions for Purchase Recommendations using Deep Memory Networks," Proc. 41st Int'l ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, MI, July 2018.
[PDF] [bibtex] - Gligorijevic, Dj.*, Stojanovic, J.*, Satz, W., Stojkovic, I., Schreyer, K., Del Portal, D., Obradovic, Z. (2018) " Deep Attention Model for Triage of Emergency Department Patients," Proc. 2018 SIAM International Conference on Data Mining (SDM 2018), San Diego, CA, May 2018.
*Authors contributed equally.
[PDF] [slides] [code] [bibtex] - Stojanovic, J., Gligorijevic, Dj., Obradovic, Z. (2016) " Modeling Customer Engagement from Partial Observations," Proc. 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, United States October 24 - 28, 2016
[PDF] [bibtex] - Gligorijevic, Dj., Stojanovic, J., Obradovic, Z. (2016) " Uncertainty Propagation in Long-term Structured Regression on Evolving Networks," Proc. 30th AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ, February 2016
[PDF] [supplementary material] [code] [bibtex] - Gligorijevic, Dj., Stojanovic, J., Obradovic, Z. (2015) " Improving Confidence while Predicting Trends in Temporal Disease Networks," Proc. 4th Workshop on Data Mining for Medicine and Healthcare, 2015 SIAM International Conference on Data Mining, Vancouver, Canada, April 30 - May 02, 2015
[PDF] [slides] [bibtex] - Stojanovic, J., Jovanovic, M., Gligorijevic, Dj., Obradovic, Z. (2015) " Semi-supervised learning for structured regression on partially observed attributed graphs," Proc. 2015 SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada, April 30 - May 02, 2015
[PDF] [slides] [bibtex]
Research
Research Scientist at
Yahoo Research, Ad Platforms, Verizon Media Sunnyvale, CA, 2018 - present
Research Assistant at
Temple University, Philadelphia, PA, 2013 - 2018
Advisor: Dr. Zoran Obradovic
Academic projects
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IQVIA funded project: Ranking investigators for clinical studies optimization
- Developing novel methods for learning to match and rank investigators and clinical trials.
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Defense Advanced Research Projects Agency (DARPA) GRAPHS funded
Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks (grant FA9550-12-1-0406, negotiated by Air Force Office of Scientific Research (AFOSR))
- Modelling predictive uncertainty estimation of Conditional Random Fields for evolving graphs.
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Office of Naval Research (ONR) funded Structured Regression in Complex Networks by Fusion of Qualitative Knowledge and Big Data (grant N00014-15-1-2729)
- Fusing large scale hospital discharge records databases with various domain knowledge sources to obtain novel and meaningfull insights and improved predictions in healthcare.
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National Science Foundation (NSF) funded BIGDATA: Multi-level predictive analytics & motif discovery across massive dynamic spatio-temporal networks in complex socio-technical systems: An organizational genetics approach (grant 14476570)
- Correlating comorbidity and genetic disease networks across age, sex, and geography from large scale hospital discharge records databases.