TIME-AWARE PROSPECTIVE MODELING OF USERS FOR ONLINE DISPLAY ADVERTISING
Gligorijevic, Dj., et. al. @ KDD-AdKDD 2019
Prospective display advertising poses a great challenge for large advertising platforms as the strongest
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DECOMPOSITION BASED REPARAMETERIZATION FOR EFFICIENT ESTIMATION OF SPARSE GAUSSIAN CONDITIONAL RANDOM FIELDS
Stojkovic, I., et. al. @ ICML-TMP 2019
Simultaneously estimating multi-output regression model, while recovering dependency structure among -
SPATIALLY AWARE ENSEMBLE-BASED LEARNING TO PREDICT WEATHER-RELATED OUTAGES IN TRANSMISSION
Dokic, T., et. al. @ HICSS 2018
This paper describes the implementation of a prediction model for real-time assessment of weather-related -
MODELING MOBILE USER ACTIONS FOR PURCHASE RECOMMENDATIONS USING DEEP MEMORY NETWORKS
Gligorijevic, Dj., et. al. @ SIGIR 2018
The rapid expansion of mobile devices has brought an unprecedented opportunity for mobile operators -
DEEP ATTENTION MODEL FOR TRIAGE OF EMERGENCY DEPARTMENT PATIENTS
Gligorijevic, Dj., Stojanovic, J., et. al. @ SDM 2018
Optimization of patient throughput and wait time in emergency departments (ED) is an important task for -
MODELING CUSTOMER ENGAGEMENT FROM PARTIAL OBSERVATIONS
Stojanovic, J., et. al. @ CIKM 2016
It is of high interest for a company to identify customers expected to bring the largest profit in the -
UNCERTAINTY PROPAGATION IN LONG-TERM STRUCTURED REGRESSION ON EVOLVING NETWORKS
Gligorijevic, Dj., et. al. @ AAAI 2016
In long-term forecasting, it is important to estimate the confidence of predictions, as they are often affected -
IMPROVING CONFIDENCE WHILE PREDICTING TRENDS IN TEMPORAL DISEASE NETWORKS
Gligorijevic, Dj., et. al. @ SDM-WDMMH 2015
For highly sensitive real-world predictive analytic applications such as healthcare and medicine, having -
SEMI-SUPERVISED LEARNING FOR STRUCTURED REGRESSION ON PARTIALLY OBSERVED ATTRIBUTED GRAPHS
Stojanovic, J., et. al. @ SDM 2015
Conditional probabilistic graphical models provide a powerful framework for structured regression in