8 citations · 16 across the 10 of their papers we have counts for
11 papers
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…
Stay on Topic, Please: Aligning User Comments to the Content of a News Article
Jumanah Alshehri, Marija Stanojevic, Eduard Dragut +1
Social scientists have shown that up to 50% if the content posted to a news article have no relation to its journalistic content. In this study we propose a classification algorith…
Another estimation of Laplacian spectrum of the Kronecker product of graphs
Milan Bašić, Branko Arsić, Zoran Obradović
The relationships between eigenvalues and eigenvectors of a product graph and those of its factor graphs have been known for the standard products, while characterization of Laplac…
Extracting Entities and Topics from News and Connecting Criminal Records
Quang Pham, Marija Stanojevic, Zoran Obradovic
The goal of this paper is to summarize methodologies used in extracting entities and topics from a database of criminal records and from a database of newspapers. Statistical model…
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…
Deep Attention Model for Triage of Emergency Department Patients
Djordje Gligorijevic, Jelena Stojanovic, Wayne Satz +4
Optimization of patient throughput and wait time in emergency departments (ED) is an important task for hospital systems. For that reason, Emergency Severity Index (ESI) system for…
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…
Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search
Jelena Gligorijevic, Djordje Gligorijevic, Ivan Stojkovic +3
In sponsored search it is critical to match ads that are relevant to a query and to accurately predict their likelihood of being clicked. Commercial search engines typically use ma…
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…
Searching for Synergism Among Combinations of Drugs of Abuse and the Use of Isobolographic Analysis
Ronald J. Tallarida, Uros Midic, Neil S. Lamarre +1
It is well known that individuals who abuse drugs usually use more than one substance. Toxic consequences of single and multiple drug use are well documented in the Treatment Episo…