LEARNING CONCAVE BID SHADING STRATEGIES IN ONLINE AUCTIONS VIA MEASURE-VALUED PROXIMAL OPTIMIZATION
I. Nodozi, et. al. @ IEEE 2025
This letter proposes a bid-shading strategy for first-price auctions as a measure-valued optimization problem
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IMPORTANCE OF SOCIAL CAPITAL FOR KNOWLEDGE ACQUISITION – DEEPLIFT LEARNING FROM INTERNATIONAL DEVELOPMENT PROJECTS
Mikovic, R., et. al. @ Inf. Processing & Management 2022
This paper aimed to examine the influence of internal and external social links within NGOs’ international -
PREDICTING ACTIONS OF USERS USING HETEROGENEOUS ONLINE SIGNALS
Gligorijevic, Dj., et. al. @ Big Data Journal 2022
Advertising platforms have a growing need for improving prediction quality, as missing out on ad -
USE OF DISEASE EMBEDDING TECHNIQUE TO PREDICT THE RISK OF PROGRESSION TO END-STAGE RENAL DISEASE
Zhou, F., et .al. @ J. Biomed. Inform.
The accurate prediction of progression of Chronic Kidney Disease (CKD) to End Stage Renal Disease (ESRD) -
OPTIMIZING CLINICAL TRIALS RECRUITMENT VIA DEEP LEARNING
Gligorijevic, J., Gligorijevic, Dj., et. al. @ J Am Med Inform Assoc
Clinical trials, prospective research studies on human participants carried out by a distributed team of -
SOCIAL NETWORK ANALYSIS FOR BETTER UNDERSTANDING OF INFLUENZA
Ljubic, B., et. al. @ J. Biomed. Inform.
The objective of this study is to improve the understanding of spatial spreading of complicated cases of -
THE INFLUENCE OF SOCIAL CAPITAL ON KNOWLEDGE MANAGEMENT MATURITY OF NONPROFIT ORGANIZATIONS – PREDICTIVE MODELLING BASED ON A MULTILEVEL ANALYSIS
Mikovic, R., et. al. @ IEEE Access
Nonprofit, nongovernmental organizations (NGOs) are important development actors that operate in -
DEEPLY SUPERVISED MODEL FOR CLICK-THROUGH RATE PREDICTION IN SPONSORED SEARCH
Gligorijevic, J., Gligorijevic, Dj., et. al. @ Data Min. Knowl. Discov.
In sponsored search it is critical to match ads that are relevant to a query and to accurately predict their -
LARGE-SCALE DISCOVERY OF DISEASE-DISEASE AND DISEASE-GENE ASSOCIATIONS
Gligorijevic, Dj., et. al. @ Sci. Rep.
Data-driven phenotype analyses on Electronic Health Record (EHR) data have recently drawn benefits -
DISEASE TYPES DISCOVERY FROM A LARGE DATABASE OF INPATIENT RECORDS: A SEPSIS STUDY
Gligorijevic, Dj., et. al. @ Methods
Data-driven phenotype discoveries on Electronic Health Records (EHR) data have recently drawn benefits
