World's Best Scientists 2026 revealed!

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Computer Science

D-Index
41
Citations
7344
World Ranking
8835
National Ranking
9

Overview

Marko Grobelnik is affiliated with the Jožef Stefan Institute in Slovenia and conducts research primarily in the field of Computer Science, with additional work in Social Sciences. Their research contributions span various subfields, including Artificial Intelligence, Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics, and Epidemiology.

The scientist's recent publications cover multiple aspects of their research focus. Notable papers include:

  • "Meaningful Big Data Integration for a Global COVID-19 Strategy" (2020) published in IEEE Computational Intelligence Magazine
  • "From fear to action: AI governance and opportunities for all" (2023) published in Frontiers in Computer Science
  • "Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems" (2023) published in International Journal of Human-Computer Studies
  • "Why is a document relevant? Understanding the relevance scores in cross-lingual document retrieval" (2022) published in Knowledge-Based Systems
  • "Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination" (2022) published in IEEE Access

Marko Grobelnik has collaborated frequently with several colleagues. Among the most frequent coauthors are:

  • Dunja Mladenić
  • Abdul Sittar
  • M. Besher Massri
  • João Pita Costa
  • Luka Stopar

The scientist's work appears in a range of publication venues. Some of the most common outlets include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Access
  • Knowledge-Based Systems
  • Journal of Intelligent Information Systems

Their main fields of study involve advanced computational methods and interdisciplinary applications. The subfields of study highlight a blend of technological and social science domains, with emphasis on:

  • Artificial Intelligence
  • Sociology and Political Science
  • Information Systems
  • Statistical and Nonlinear Physics
  • Epidemiology

The scientist's research topics concentrate on computational and analytical techniques, including:

  • Advanced Text Analysis Techniques
  • Topic Modeling
  • Misinformation and Its Impacts
  • Sentiment Analysis and Opinion Mining
  • Data-Driven Disease Surveillance
  • Natural Language Processing Techniques
  • Computational and Text Analysis Methods

Best Publications

  • A SURVEY OF ONTOLOGY EVALUATION TECHNIQUES

    Janez Brank;Marko Grobelnik

  • Feature Selection for Unbalanced Class Distribution and Naive Bayes

    Dunja Mladenic;Marko Grobelnik

  • Deep Belief Networks

    Unknown

  • Learning nonrecursive definitions of relations with LINUS

    Nada Lavrač;Sašo Džeroski;Marko Grobelnik

  • Feature selection using linear classifier weights: interaction with classification models

    Dunja Mladenić;Janez Brank;Marko Grobelnik;Natasa Milic-Frayling

  • Semi-automatic construction of topic ontologies

    Blaz Fortuna;Dunja Mladenic;Marko Grobelnik

  • Visualization of Text Document Corpus

    Blaz Fortuna;Marko Grobelnik;Dunja Mladenic

  • Feature selection on hierarchy of web documents

    Dunja Mladenić;Marko Grobelnik

  • OntoGen: semi-automatic ontology editor

    Blaz Fortuna;Marko Grobelnik;Dunja Mladenic

  • Data sparsity issues in the collaborative filtering framework

    Miha Grčar;Dunja Mladenič;Blaž Fortuna;Marko Grobelnik

  • Event registry: learning about world events from news

    Gregor Leban;Blaz Fortuna;Janez Brank;Marko Grobelnik

  • Interaction of Feature Selection Methods and Linear Classification Models

    Janez Brank;Marko Grobelnik;Nataša Milic-Frayling

  • The Semanic Web: Research and Applications

    Grigoris Antoniou;Marko Grobelnik;Elena Simperl;Bijan Parsia

  • Learning Sub-structures of Document Semantic Graphs for Document Summarization

    Jurij Leskovec;Marko Grobelnik;Natasa Milic-Frayling

  • A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers.

    Salman Taherizadeh;Vlado Stankovski;Vlado Stankovski;Marko Grobelnik

  • Subspace, Latent Structure and Feature Selection

    Craig Saunders;Marko Grobelnik;Steve Gunn;John Shawe-Taylor

  • Proceedings of the 3rd international workshop on Link discovery

    Jafar Adibi;Marko Grobelnik;Dunja Mladenic;Patrick Pantel

  • Feature Selection Using Linear Support Vector Machines

    Janez Brank;Marko Grobelnik

  • Fuzzy Systems

    Unknown

  • Feature Selection Using Support Vector Machines

    J Brank;M Grobelnik;N Milic-Frayling;D Mladenic

  • Monitoring Network Evolution using MDL

    J. Ferlez;C. Faloutsos;J. Leskovec;D. Mladenic

  • SEMI-AUTOMATIC DATA-DRIVEN ONTOLOGY CONSTRUCTION SYSTEM

    Marko Grobelnik

Frequent Co-Authors

Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
John Shawe-Taylor
John Shawe-Taylor University College London
Elena Simperl
Elena Simperl King's College London
Andreas Hotho
Andreas Hotho University of Würzburg
Grigoris Antoniou
Grigoris Antoniou University of Huddersfield
Bijan Parsia
Bijan Parsia University of Manchester
Wray Buntine
Wray Buntine VinUniversity
Dimitris Plexousakis
Dimitris Plexousakis University of Crete
Steve R. Gunn
Steve R. Gunn University of Southampton

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