activity
20112023
most citedPredicting complex user behavior from CDR based social networks

16 citations · 28 across the 9 of their papers we have counts for

collaborators

15 papers

cs.CL2023

Classification of news spreading barriers

Abdul Sittar, Dunja Mladenic, Marko Grobelnik

News media is one of the most effective mechanisms for spreading information internationally, and many events from different areas are internationally relevant. However, news cover…

cs.CL2023

Profiling the news spreading barriers using news headlines

Abdul Sittar, Dunja Mladenic, Marko Grobelnik

News headlines can be a good data source for detecting the news spreading barriers in news media, which may be useful in many real-world applications. In this paper, we utilize sem…

cs.CL2023★ 2 cited

Classification of Cross-cultural News Events

Abdul Sittar, Dunja Mladenic

We present a methodology to support the analysis of culture from text such as news events and demonstrate its usefulness on categorizing news events from different categories (soci…

cs.AI2023

Using the profile of publishers to predict barriers across news articles

Abdul Sittar, Dunja Mladenic

Detection of news propagation barriers, being economical, cultural, political, time zonal, or geographical, is still an open research issue. We present an approach to barrier detec…

cs.IR2022

Analysis of information cascading and propagation barriers across distinctive news events

Abdul Sittar, Dunja Mladenic, Marko Grobelnik

News reporting on events that occur in our society can have different styles and structures as well as different dynamics of news spreading over time. News publishers have the pote…

cs.AI2021

XAI-KG: knowledge graph to support XAI and decision-making in manufacturing

Jože M. Rožanec, Patrik Zajec, Klemen Kenda +3

The increasing adoption of artificial intelligence requires accurate forecasts and means to understand the reasoning of artificial intelligence models behind such a forecast. Expla…