World's Best Scientists 2026 revealed!

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Computer Science

D-Index
47
Citations
8340
World Ranking
6528
National Ranking
6

Overview

Dunja Mladenic is affiliated with the Jožef Stefan Institute in Slovenia. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence among other subfields.

The subfields in which they have conducted extensive research include:

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Computer Vision and Pattern Recognition

Their work covers a range of topics, particularly in applied and theoretical aspects, such as:

  • Industrial Vision Systems and Defect Detection
  • Advanced Statistical Process Monitoring
  • Topic Modeling
  • Explainable Artificial Intelligence (XAI)
  • Anomaly Detection Techniques and Applications
  • Forecasting Techniques and Applications
  • Time Series Analysis and Forecasting

Dunja Mladenic has published numerous papers in various venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Preprints.org
  • IFAC-PapersOnLine
  • Applied Sciences

Recent selected publications are:

  • Human-centric artificial intelligence architecture for industry 5.0 applications, 2022, International Journal of Production Research
  • Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies, 2021, Applied Sciences
  • Using Machine Learning for Web Page Classification in Search Engine Optimization, 2021, Future Internet
  • Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI), 2021, Information Fusion
  • Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand, 2022, MDPI (MDPI AG)

Dunja Mladenic has also contributed to book publications, including:

  • Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2021, Springer Science+Business Media

The scientist has collaborated frequently with a number of coauthors. Notable frequent coauthors include:

  • Jože M. Rožanec
  • Blaž Fortuna
  • Patrik Zajec
  • Marko Grobelnik
  • Inna Novalija

Best Publications

  • Feature Selection for Unbalanced Class Distribution and Naive Bayes

    Dunja Mladenic;Marko Grobelnik

  • Text-learning and related intelligent agents: a survey

    D. Mladenic

  • Feature subset selection in text-learning

    Dunja Mladenic

  • 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

  • Knowledge Discovery in Databases: PKDD 2007

    Joost N. Kok;Jacek Koronacki;Ramon Lopez de Mantaras;Stan Matwin

  • Machine Learning: ECML 2007

    Joost N. Kok;Jacek Koronacki;Raomon Lopez de Mantaras;Stan Matwin

  • A Rule based Approach to Word Lemmatization

    Joël Plisson;Nada Lavrac;Dunja Mladenic

  • The Role of Hubness in Clustering High-Dimensional Data

    Nenad Tomasev;Milos Radovanovic;Dunja Mladenic;Mirjana Ivanovic

  • 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

  • Feature selection for dimensionality reduction

    Dunja Mladenić

  • Mining the web to create minority language corpora

    Rayid Ghani;Rosie Jones;Dunja Mladenić

  • Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases

    Joost N. Kok;Jacek Koronacki;Ramon Lopez De Mantaras;Stan Matwin

  • Proceedings of the 3rd international workshop on Link discovery

    Jafar Adibi;Marko Grobelnik;Dunja Mladenic;Patrick Pantel

  • Fuzzy Systems

    Unknown

  • Feature Selection Using Support Vector Machines

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

  • Data mining and decision support : integration and collaboration

    Dunja Mladenić

  • 18th European Conference on Machine Learning

    Peter A Flach;Edson Takashi Matsubara;Joost N. Kok;Jacek Koronacki

  • Web Mining: From Web to Semantic Web, First European Web Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Revised Selected and Invited Papers

    Bettina Berendt;Andreas Hotho;Dunja Mladenic;Maarten Van Someren

Frequent Co-Authors

Marko Grobelnik
Marko Grobelnik Jožef Stefan Institute
Andreas Hotho
Andreas Hotho University of Würzburg
Myra Spiliopoulou
Myra Spiliopoulou Otto-von-Guericke University Magdeburg
Gerd Stumme
Gerd Stumme University of Kassel
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Joost N. Kok
Joost N. Kok University of Twente
Stan Matwin
Stan Matwin Dalhousie University
Giovanni Semeraro
Giovanni Semeraro University of Bari Aldo Moro

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