Travelled to:
1 × Australia
1 × China
1 × Singapore
1 × Slovenia
2 × United Kingdom
5 × USA
Collaborated with:
M.Grobelnik ∅ R.Ghani R.Jones B.Fortuna N.Tomasev M.Radovanovic M.Ivanovic B.Blazica D.Vladusic K.Golub A.Ardö J.Brank N.Milic-Frayling J.Rupnik B.Pajntar
Talks about:
classif (4) languag (3) neighbor (2) approach (2) nearest (2) corpora (2) automat (2) select (2) search (2) featur (2)
Person: Dunja Mladenic
DBLP: Mladenic:Dunja
Contributed to:
Wrote 12 papers:
- CIKM-2011-TomasevRMI #approach #classification #nearest neighbour #probability
- A probabilistic approach to nearest-neighbor classification: naive hubness bayesian kNN (NT, MR, DM, MI), pp. 2173–2176.
- HCI-MIIE-2011-BlazicaVM #named
- ShoeBox: A Natural Way of Organizing Pictures According to User’s Affinities (BB, DV, DM), pp. 519–524.
- MLDM-2011-TomasevRMI #classification #fuzzy #metric #nearest neighbour
- Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification (NT, MR, DM, MI), pp. 16–30.
- SIGIR-2008-FortunaRPGM
- Cross-lingual search over 22 european languages (BF, JR, BP, MG, DM), p. 883.
- HIMI-IIE-2007-FortunaGM #automation #editing #named #ontology
- OntoGen: Semi-automatic Ontology Editor (BF, MG, DM), pp. 309–318.
- ECDL-2006-GolubAMG #automation #classification
- Comparing and Combining Two Approaches to Automated Subject Classification of Text (KG, AA, DM, MG), pp. 467–470.
- SIGIR-2004-MladenicBGM #classification #feature model #interactive #linear #modelling #using
- Feature selection using linear classifier weights: interaction with classification models (DM, JB, MG, NMF), pp. 234–241.
- ICML-2002-Mladenic #learning #normalisation #using #word
- Learning word normalization using word suffix and context from unlabeled data (DM), pp. 427–434.
- CIKM-2001-GhaniJM #corpus #mining #web
- Mining the Web to Create Minority Language Corpora (RG, RJ, DM), pp. 279–286.
- SIGIR-2001-GhaniJM #automation #corpus #generative #query #web
- Automatic Web Search Query Generation to Create Minority Language Corpora (RG, RJ, DM), pp. 432–433.
- ICML-1999-MladenicG #feature model #naive bayes
- Feature Selection for Unbalanced Class Distribution and Naive Bayes (DM, MG), pp. 258–267.
- ICML-1993-Mladenic #combinator #concept #induction #learning #optimisation
- Combinatorial Optimization in Inductive Concept Learning (DM), pp. 205–211.