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