21.12.2011 | Ruben Sipoš, JSI |
– Large-Margin Learning of Submodular Summarization Methods | |
– Discovering the most influential documents in a corpus by using only word content and publication time by optimizing submodular coverage objective | |
14.12.2011 | Mario Karlovčec, JSI |
Matching business and research with atlas of slovenian science | |
7.12.2011 | Lorand Dali, JSI |
Visualisation od Document Atlas | |
30.11.2011 | Blaž Fortuna, JSI |
Kc OPCOMM poročanje | |
23.11.2011 | Mojca K. Zavrl, JSI |
Pregled dela na projektih | |
16.11.2011 | Tadej Štajner, JSI |
Poročilo o delu na Yahoo! | |
2.11.2011 | Luka Bradeško, JSI |
Presentation of Demos | |
26.10.2011 | Blaž Fortuna, Gregor Leban, JSI |
Presentation of Demos | |
19.10.2011 | Inna Novalija, JSI |
Presentation of Demos | |
12.10.2011 | Jasna Škrbec, Alexandra Moraru, Mario Karlovčec, JSI |
Presentation of Demos | |
5.10.2011 | Lorand Dali, JSI |
– A brief report about the European Summer School of Information Retrieval | |
– BICIKELJ: Data mining on the bicycle | |
14.9.2011 | Andrej Muhič, JSI |
Work related to cross-lingual document similarity computation and Wikipedia | |
7.9.2011 | Blaž Fortuna, JSI |
Highlights of the KDD 2011 conference | |
31.8.2011 | Marko Grobelnik, JSI |
Highlights of the AAAI 2011 conference | |
24.8.2011 | Mitja Trampuš, Alexandra Moraru, Mario Karlovčec, JSI |
Summer school on language, logic and inference; ESSLLI 2011 | |
17.8.2011 | Mario Karlovčec, JSI |
PSLC Summer School highlights | |
10.8.2011 | Nenad Tomašev, JSI |
PAKDD 2011 conference highlights | |
3.8.2011 | Mario Karlovčec, JSI |
Atlas Slovenske Znanosti – collaboration diagram and competence map | |
13.7.2011 | Luka Bradeško, JSI |
Paper from ITI 2011 :Contextualized question answering | |
6.7.2011 | Klemen Kenda, JSI |
Videk, mashup for enviromental intelligence | |
29.6.2011 | Primož Škraba, JSI |
Overview of the symposium of computational geometry | |
22.6.2011 | Jasna Škrbec, JSI |
Web application for archives | |
15.6.2011 | Grigoris Antoniou, University of Greece |
Semantic computing research @ forth | |
Andrej Muhič, JSI | |
Short introduction to cross-lingual document similarity | |
8.6.2011 | Mirjana Ivanović, Deparment of Mathematics and Informatics, Novi Sad |
Technology-Enhanced Learning in Different Learning Environments | |
25.5.2011 | Blaž Fortuna, JSI |
Current setup on GitHub for code sharing | |
18.5.2011 | Aleš Buh, JSI |
GIT HUB software za source control in social network | |
11.5.2011 | Tadej Štaner, JSI |
Named entity extraction from Slovene text | |
20.4.2011 | Primož Škraba, JSI |
Demo: ‘Analyzing Dynamical Systems with Computational Topology’ | |
13.4.2011 | Loran Dali, JSI |
A short summary of the tutorial ‘Ranking on Large-Scale Graphs with Rich Metadata’ at WWW 2011 conference | |
Alexandra Moraru, JSI | |
Two papers from WWW2011 | |
– EP-SPARQL: A Unified Language for Event Processing and Stream Reasoning | |
– Unified Analysis of Streaming News | |
6.4.2011 | Mitja Trampuš, JSI |
Two papers from WWW2011 | |
– Computing Word Relatedness Using Temporal Semantic Analysis | |
– Improving Recommendations for Long-Tail Queries via Templates | |
Gregor Leban, JSI | |
Two papers from WWW2011 | |
– Information credibility on Twitter | |
– Finding hierarchy in directed online social networks | |
23.3.2011 | Boštjan Pajntar, JSI |
Mulitilngual corpus crawler | |
16.3.2011 | Matjaž Rihtar, Gregor Leban, JSI |
Overview of the european project ALERT | |
9.3.2011 | Blaž Fortuna, JSI |
‘Miner” infrastructure inside Glib | |
Delia Rusu, Mitja Trampuš, JSI | |
A summary of publications under LIBSCOM – Large Analytics Library for Large Scale Concept Ontology for Multimedia | |
Klemen Kenda, JSI | |
Slides about implementation of miner for SensorLab | |
Luka Bradeško, JSI | |
A short discussion regarding E3 group on Mendeley | |
Nenad Tomašev, JSI | |
A discussion of possible presentation of our group at the following new media event in Belgrade: | |
http://www.shareconference.net/en | |
2.3.2011 | Jasna Škrbec, JSI |
Uporabniku prijazen arhiv za učinkovit pregled znanja iz korpusov besedil | |
Nenad Tomašev, JSI | |
– Hubness proportional clustering | |
– Using class hubness for high-dimensional kNN classification | |
23.2.2011 | Tadej Štajner, Blaž Fortuna, Primož Škraba, JSI |
FET ideas | |
16.2.2011 | Bojan Blažica, xLab d.o.o. |
Seminar on Shoebox | |
19.1.2011 | Blaž Fortuna, Delia Rusu, JSI |
Presenting the RENDER project | |
9.1.2011 | Delia Rusu, JSI |
Presenting a paper on opinion mining and social media – predicting box-office revenues for movies based on Twitter: Predicting the Future With Social Media |
Meta
news
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Novice projekta CLEOPATRA ITN (v angleščini)
Cilj projekta CLEOPATRA ITN, inovativne mreže za usposabljanje Marie Skłodowska-Curie, je osmisliti množično digitalno pokritost, ki jo je v zadnjem desetletju povzročila močna motnja v Evropi – vključno z grozljivimi terorističnimi incidenti in dramatičnim gibanjem beguncev in ekonomskih migrantov.
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Udeležba na Dnevu odprtega znanja
Letošnji Dan odprtega znanja je potekal v dveh delih, pri čemer so se v prvem delu pogovarjali o izjemah in omejitvah avtorske pravice iz nove direktive, ki se nanašajo na izobraževanje, knjižnice in podatkovno analitiko, drugi del pa je bil posvečen 17. členu DSM Direktive in njegovi implementaciji.
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Radio SI: Euranet Plus: Odeuropa bo ‘ustekleničil’ vonjave evropske kulturne dediščine
Intervju Marka Grobelnika z RTV Slo, Radio Si program Euranet Plus
“Odeuropa bo ‘ustekleničil’ vonjave evropske kulturne dediščine”
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STA Znanost: Z novim projektom bodo raziskovali dediščino vonjev Evrope
Intervju Dunje Mladenić s časopisom STA, sekcija Znanost
“Z novim projektom bodo raziskovali dediščino vonjev Evrope”
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Delo: Znanoteh: Kako so dišale Picassove slike in ulice Pariza
Intervju Marka Grobelnika v Delu Znanoteh: Kako so dišale Picassove slike in ulice Pariza [pdf]
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Novo pridobljeni projekt – 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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