8 citations · 16 across the 10 of their papers we have counts for
5 papers · 1 filter
Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast
Mohammad Alqudah, Tatjana Dokic, Mladen Kezunovic +1
A novel method for real-time solar generation forecast using weather data, while exploiting both spatial and temporal structural dependencies is proposed. The network observed over…
Further results on structured regression for multi-scale networks
Milan Bašić, Branko Arsić, Zoran Obradović
Gaussian Conditional Random Fields (GCRF), as a structured regression model, is designed to achieve higher regression accuracy than unstructured predictors at the expense of execut…
Improving confidence while predicting trends in temporal disease networks
Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic
For highly sensitive real-world predictive analytic applications such as healthcare and medicine, having good prediction accuracy alone is often not enough. These kinds of applicat…
Modeling Customer Engagement from Partial Observations
Jelena Stojanovic, Djordje Gligorijevic, Zoran Obradovic
It is of high interest for a company to identify customers expected to bring the largest profit in the upcoming period. Knowing as much as possible about each customer is crucial f…
Semi-supervised learning for structured regression on partially observed attributed graphs
Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic +1
Conditional probabilistic graphical models provide a powerful framework for structured regression in spatio-temporal datasets with complex correlation patterns. However, in real-li…