Research Scientist, Yahoo Research

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Contact

Djordje (George) Gligorijevic
Verizon Media
700 1st Ave.
Sunnyvale, CA 94089, USA

E-mail(s):
gligorijevic <at> temple <dot> edu
djordje <at> verizonmedia <dot> com








"If you want to go fast, go alone. If you want to go far, go together."

Research Interests

Machine Learning, Spatial and Temporal Data Mining, Structured Regression, Extreme Multi-Label Classification, Natural Language Processing, Analysis of Big Data from Heterogeneous Sources, Integration of Qualitative Knowledge. I have Particular interests in domains of Computational Healthcare and Precision Medicine, Bidding Landscape Prediction, and Computational Advertising.

Journal Publications

  1. Zhou, F., Gillespie, A., Gligorijevic, Dj., Gligorijevic, J., Obradovic, Z. (2020) " Use of Disease Embedding Technique to Predict the Risk of Progression to End-Stage Renal Disease," Journal of Biomedical Informatics, vol. 105, May 2020, doi 10.1016/j.jbi.2020.103409
    (Impact Factor: 2.950)
    [link] [PDF]
  2. 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, Volume 26, Issue 11, November 2019, pp. 1195-1202, doi 10.1093/jamia/ocz064.
    *Authors contributed equally.
    (Impact Factor: 4.270)
    [link] [PDF]
  3. 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, doi 10.1016/j.jbi.2019.103161.
    (Impact Factor: 2.882)
    [link] [PDF]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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

  1. Gligorijevic, Dj., Gligorijevic, J., Flores, A., (2020) " Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model", 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), October 19-23, 2020, Virtual Event, Ireland
    [PDF] [bibtex] [Prospective CVR dataset]
  2. Gligorijevic, Dj., Zhou, T., Shetty, B., Kitts, B., Pan, S., Pan, J., Flores, A., (2020) " Bid Shading in The Brave New World of First-Price Auctions", 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), October 19-23, 2020, Virtual Event, Ireland
    [PDF] [bibtex]
  3. 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 2020), San Diego, California, August 23, 2020
    [PDF] [bibtex]
  4. Pavlovski, M., Gligorijevic, J., Stojkovic, I., Agrawal, S., Komirishetty, S., Gligorijevic, Dj., Bhamidipati, N., Obradovic, Z. (2020) " Time-Aware User Embeddings as a Service," Proc. 26th ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD 2020), San Diego, California, August 23, 2020
    [PDF] [bibtex]
  5. 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 2019), Anchorage, Alaska, August 5, 2019
    *Runner-up best paper award
    [PDF] [slides] [bibtex]
  6. 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]
  7. 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 2018), Maui, Hawaii, January 2019.
    [PDF] [bibtex]
  8. 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]
  9. 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]
  10. 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]
  11. 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 2016), Phoenix, AZ, February 2016
    [PDF] [supplementary material] [code] [bibtex]
  12. 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]
  13. 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]

Education

Ph.D., Computer and Information Sciences, Center for Data Analytics and Biomedical Informatics, Department of Computer and Information Sciences, Temple University, Philadelphia, USA, 2018.
Doctoral dissertation: "Predictive Uncertainty Quantification and Explainable Machine Learning in Healthcare"
Advisor: Prof. Zoran Obradovic

B.Eng., Information Systems and Technologies, Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia, 2013.

Work and Research Experience

Academic projects

Teaching

Teaching assistant at Computer and Information Sciences Department, Temple University, Philadelphia, PA, 2013-2017