Jelena Gligorijevic

Orcid: 0000-0003-3935-7106

Affiliations:
  • Temple University, Center for Data Analytics and Biomedical Informatics, Philadelphia, PA, USA


According to our database1, Jelena Gligorijevic authored at least 24 papers between 2015 and 2023.

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Bibliography

2023
Adaptive neuro fuzzy estimation of the most influential speckle noise distributions in color images for denoising performance prediction.
Multim. Tools Appl., 2023

Extreme Multi-Label Classification for Ad Targeting using Factorization Machines.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Appraisal of information and communications technologies on the teaching process by neuro fuzzy logic.
Comput. Appl. Eng. Educ., 2022

Predicting Actions of Users Using Heterogeneous Online Signals.
Big Data, 2022

2021
Application of distance learning in mathematics through adaptive neuro-fuzzy learning method.
Comput. Electr. Eng., 2021

2020
Use of disease embedding technique to predict the risk of progression to end-stage renal disease.
J. Biomed. Informatics, 2020

Time-Aware User Embeddings as a Service.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Social network analysis for better understanding of influenza.
J. Biomed. Informatics, 2019

Optimizing clinical trials recruitment via deep learning.
J. Am. Medical Informatics Assoc., 2019

Deeply supervised model for click-through rate prediction in sponsored search.
Data Min. Knowl. Discov., 2019

Time-Aware Prospective Modeling of Users for Online Display Advertising.
CoRR, 2019

Learning from Multi-User Activity Trails for B2B Ad Targeting.
CoRR, 2019

Guiding creative design in online advertising.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Understanding Consumer Journey using Attention based Recurrent Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Improving confidence while predicting trends in temporal disease networks.
CoRR, 2018

Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search.
CoRR, 2018

Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep Attention Model for Triage of Emergency Department Patients.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017
Modeling Healthcare Quality via Compact Representations of Electronic Health Records.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

2016
Risk Assessment of a Transmission Line Insulation Breakdown Due to Lightning and Severe Weather.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Modeling Customer Engagement from Partial Observations.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Semi-supervised learning for structured regression on partially observed attributed graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015


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