H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 36 Citations 6,671 197 World Ranking 5642 National Ranking 5

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Machine learning
  • Programming language

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Machine learning, Feature selection and Information retrieval. Her work carried out in the field of Artificial intelligence brings together such families of science as Data mining and Natural language processing. Her Data mining research incorporates elements of Cluster analysis and Curse of dimensionality.

Dunja Mladenic is studying k-nearest neighbors algorithm, which is a component of Pattern recognition. Her Feature selection research is multidisciplinary, relying on both Naive Bayes classifier and Feature. Her work deals with themes such as Classifier and Document clustering, which intersect with Information retrieval.

Her most cited work include:

  • Feature Selection for Unbalanced Class Distribution and Naive Bayes (406 citations)
  • Text-learning and related intelligent agents: a survey (266 citations)
  • Feature subset selection in text-learning (166 citations)

What are the main themes of her work throughout her whole career to date?

Dunja Mladenic mainly investigates Artificial intelligence, Information retrieval, World Wide Web, Natural language processing and Data mining. Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Pattern recognition. Her Information retrieval study incorporates themes from Web page and Set.

Her Natural language processing research is multidisciplinary, incorporating elements of Word and Extension. Dunja Mladenic interconnects Clustering high-dimensional data and Curse of dimensionality in the investigation of issues within Data mining. Her study looks at the relationship between Social Semantic Web and topics such as Data Web, which overlap with Web modeling.

She most often published in these fields:

  • Artificial intelligence (35.92%)
  • Information retrieval (32.24%)
  • World Wide Web (17.55%)

What were the highlights of her more recent work (between 2013-2021)?

  • Artificial intelligence (35.92%)
  • Data science (8.57%)
  • Machine learning (13.47%)

In recent papers she was focusing on the following fields of study:

Dunja Mladenic focuses on Artificial intelligence, Data science, Machine learning, Data mining and Information retrieval. Dunja Mladenic has included themes like Pattern recognition and Natural language processing in her Artificial intelligence study. Her studies in Data science integrate themes in fields like Domain, Ontology, Domain knowledge and Knowledge base.

Her Machine learning research includes themes of Real-time computing and Loop counter. Her Data mining study integrates concerns from other disciplines, such as Clustering high-dimensional data, Cluster analysis, Fuzzy clustering and Curse of dimensionality. Her Information retrieval study combines topics from a wide range of disciplines, such as k-means clustering, Iterative method, Set and Dimensionality reduction.

Between 2013 and 2021, her most popular works were:

  • The Role of Hubness in Clustering High-Dimensional Data (88 citations)
  • Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification (42 citations)
  • Interdisciplinarity of scientific fields and its evolution based on graph of project collaboration and co-authoring (31 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Programming language

Dunja Mladenic spends much of her time researching Artificial intelligence, Data mining, Data science, Cluster analysis and Machine learning. Her studies deal with areas such as Social media and Scripting language as well as Artificial intelligence. Her Data mining research integrates issues from Kalman filter, Multivariate statistics and Outlier.

As part of the same scientific family, Dunja Mladenic usually focuses on Data science, concentrating on Open Knowledge Base Connectivity and intersecting with Crowdsourcing, Commonsense knowledge, Knowledge extraction and Domain knowledge. Dunja Mladenic is involved in the study of Machine learning that focuses on Data pre-processing in particular. The study incorporates disciplines such as Pattern recognition, k-nearest neighbors algorithm and Pattern recognition in addition to Curse of dimensionality.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Feature Selection for Unbalanced Class Distribution and Naive Bayes

Dunja Mladenic;Marko Grobelnik.
international conference on machine learning (1999)

616 Citations

Text-learning and related intelligent agents: a survey

D. Mladenic.
IEEE Intelligent Systems & Their Applications (1999)

455 Citations

Feature subset selection in text-learning

Dunja Mladenic.
european conference on machine learning (1998)

278 Citations

Machine Learning: ECML 2007

Joost N. Kok;Jacek Koronacki;Raomon Lopez de Mantaras;Stan Matwin.
(2007)

251 Citations

Feature selection using linear classifier weights: interaction with classification models

Dunja Mladenić;Janez Brank;Marko Grobelnik;Natasa Milic-Frayling.
international acm sigir conference on research and development in information retrieval (2004)

246 Citations

Knowledge Discovery in Databases: PKDD 2007

Joost N. Kok;Jacek Koronacki;Ramon Lopez de Mantaras;Stan Matwin.
(2007)

234 Citations

The Role of Hubness in Clustering High-Dimensional Data

Nenad Tomasev;Milos Radovanovic;Dunja Mladenic;Mirjana Ivanovic.
IEEE Transactions on Knowledge and Data Engineering (2014)

189 Citations

Visualization of Text Document Corpus

Blaz Fortuna;Marko Grobelnik;Dunja Mladenic.
Informatica (lithuanian Academy of Sciences) (2005)

187 Citations

A Rule based Approach to Word Lemmatization

Joël Plisson;Nada Lavrac;Dunja Mladenic.
(2004)

177 Citations

Feature selection on hierarchy of web documents

Dunja Mladenić;Marko Grobelnik.
decision support systems (2003)

169 Citations

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