104 citations · 214 across the 9 of their papers we have counts for
9 papers
Approaches For Multi-View Redescription Mining
Matej Mihelčić, Tomislav Šmuc
The task of redescription mining explores ways to re-describe different subsets of entities contained in a dataset and to reveal non-trivial associations between different subsets…
Disentangling sources of influence in online social networks
Matija Piškorec, Tomislav Šmuc, Mile Šikić
Information propagation in online social networks is facilitated by two types of influence - endogenous (peer) influence that acts between users of the social network and exogenous…
Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients
Matej Mihelčić, Goran Šimić, Mirjana Babić Leko +3
We used redescription mining to find interpretable rules revealing associations between those determinants that provide insights about the Alzheimer's disease (AD). We extended the…
Modeling peer and external influence in online social networks
Matija Piškorec, Nino Antulov-Fantulin, Iva Miholić +2
Opinion polls mediated through a social network can give us, in addition to usual demographics data like age, gender and geographic location, a friendship structure between voters…
A framework for redescription set construction
Matej Mihelčić, Sašo Džeroski, Nada Lavrač +1
Redescription mining is a field of knowledge discovery that aims at finding different descriptions of similar subsets of instances in the data. These descriptions are represented a…
Identification of Patient Zero in Static and Temporal Networks - Robustness and Limitations
Nino Antulov-Fantulin, Alen Lancic, Tomislav Smuc +2
Detection of patient-zero can give new insights to the epidemiologists about the nature of first transmissions into a population. In this paper, we study the statistical inference…
News Cohesiveness: an Indicator of Systemic Risk in Financial Markets
Matija Piškorec, Nino Antulov-Fantulin, Petra Kralj Novak +4
Motivated by recent financial crises significant research efforts have been put into studying contagion effects and herding behaviour in financial markets. Much less has been said…
Statistical inference framework for source detection of contagion processes on arbitrary network structures
Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic +2
In this paper we introduce a statistical inference framework for estimating the contagion source from a partially observed contagion spreading process on an arbitrary network struc…
Synthetic sequence generator for recommender systems - memory biased random walk on sequence multilayer network
Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic +2
Personalized recommender systems rely on each user's personal usage data in the system, in order to assist in decision making. However, privacy policies protecting users' rights pr…