Mario Karlovčec

• PhD
• Jožef Stefan Institute

The paper presents analysis of core-periphery structure and transition dynamics of individuals between the core and periphery in collaboration networks of Slovenian researchers over 44 years. We observe the dynamics of individuals from three different aspects: regarding the length of the presence in the core-strength, the length of intervals of per...

Purpose The purpose of this paper is to propose an approach for conceptualizing science based on collaboration and competences of researchers. Design/methodology/approach The research is conducted by exploratory analysis of collaboration and competences using case studies from humanistic, engineering, natural sciences and a general topic. Finding...

The paper investigates interdisciplinarity of scientific fields based on graph of collaboration between the researchers. A new measure for interdisciplinarity is proposed that takes into account graph content and structure. Similarity between science categories is estimated based on text similarity between their descriptions. The proposed new measu...

QMiner is an open source analytics platform for performing large scale data anal-ysis written in C++ and exposed via a Javascript API. The paper presents five main design elements which focus on focus on storage, online and real-time processing as well as fast prototyping and give QMiner unique advantages as a data analytics platform for processing...

Tagging educational content with knowledge components (KC) is key to providing useable reports to teachers and for use by assessment algorithms to determine knowledge component mastery. With many systems using fine-grained KC models that range from dozens to hundreds of KCs, the task of tagging new content with KCs can be a laborious and time consu...

Automated information extraction from receipts can help us to easier organize our expenses. Approach to using Machine learning algorithms for information extraction is introduced. Datasets are generated using the developed application which enables labeling of textual documents. Results of applying the Machine learning algorithms on the datasets sh...

Using advanced analysis techniques new useful insight into data can be achieved. This paper addresses a problem of gaining insights in the data on scientific collaboration on a National level, where data can be seen as a graph with researchers and research content. Two existing visualization techniques were applied on data about scientific communit...