| 1 | KARLOVČEC, Mario, LUŽAR, Borut, MLADENIĆ, Dunja. Core-periphery dynamics in collaboration networks: the case study of Slovenia. Scientometrics, December 2016, Volume 109, Issue 3, pp 1561–1578 |
| 2 | TOMAŠEV, Nenad, BUZA, Krisztian, MLADENIĆ, Dunja. Correcting the hub occurrence prediction bias in many dimensions. Computer science and information systems, 2016, vol. 13, no. 1, pp 1-21 [pdf] |
| 3 | ŠKRABA, Primož, ROSEN, Paul, WANG, Bei, CHEN, Guoning, BHATIA, Harsh, PASCUCCI, Valerio. Critical point cancellation in 3D vector fields. IEEE transactions on visualization and computer graphics, 2016, vol. 22, no. 6, pp 1683-1693 [pdf] |
| 4 | RUPNIK, Jan, MUHIČ, Andrej, LEBAN, Gregor, ŠKRABA, Primož, FORTUNA, Blaž, GROBELNIK, Marko. News across languages – cross-lingual document similarity and event tracking. The journal of artificial intelligence research, 2016, vol. 55, pp 283-316 [pdf] |
| 5 | KUDRYAVTSEVA, Ganna, ŠKRABA, Primož. The principal bundles over an inverse semigroup. Semigroup forum, 2016, 22 pp [pdf] |
| 6 | FORTUNA, Carolina, DE POORTER, Eli, ŠKRABA, Primož, MOERMAN, Ingrid. Data driven wireless network design : a multi-level modeling approach. Wireless personal communications, [in press] 2016, 15 pp [pdf] |
| 7 | GROBELNIK, Marko, MLADENIĆ, Dunja, WITBROCK, Michael J. Text mining for the semantic web. V: SAMMUT, Claude (ur.), WEBB, Geoffrey I. (ur.). Encyclopedia of machine learning and data mining. Heidelberg [etc.]: Springer, 2016, 3 pages |
| 8 | MLADENIĆ, Dunja, BRANK, Janez, GROBELNIK, Marko. Document classification. In: SAMMUT, Claude, WEBB, Geoffrey I. (eds.). Encyclopedia of machine learning and data mining. Heidelberg [etc.]: Springer, 2016, 5 pages |
| 9 | BRANK, Janez, MLADENIĆ, Dunja, GROBELNIK, Marko. Feature construction in text mining. V: SAMMUT, Claude (ur.), WEBB, Geoffrey I. (ur.). Encyclopedia of machine learning and data mining. Heidelberg [etc.]: Springer, 2016, 6 pages |
news
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The Cleopatra ITN, a Marie Skłodowska-Curie Innovative Training Network, aims to make sense of the massive digital coverage generated by the intense disruption in Europe over the past decade – including appalling terrorist incidents and the dramatic movement of refugees and economic migrants. -
Marko Grobelnik was invited to the Open Knowledge Day
This year’s Open Knowledge Day consisted of two parts, whereas the first part focused on the exceptions and limitations for education, research libraries, and data analytics, and the second part focused on the implementation of Art 17. -
Marko Grobelnik gave an interview on RTV Slo / Radio Si program Euranet Plus (in Slovene)
“Odeuropa bo ‘ustekleničil’ vonjave evropske kulturne dediščine”
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Dunja Mladenic gave an interview for STA newspaper, section Znanost (in Slovene)
“Z novim projektom bodo raziskovali dediščino vonjev Evrope”
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Marko Grobelnik gave an interview in Delo newspaper, section Znanoteh (in slovene) [pdf]
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New project alert – H2020 ODEUROPA
H2020 project ODEUROPA – a project that will deal with an analysis of the role of smell in Europe’s cultural heritage. This will include, among other things, ambitious approaches, such as building AI models that would identify what the scene smells like from images – such as photographs of Renaissance still life
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