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/*{{:staff:bullet_gross.gif|}} [If you are interested in bachelor or master thesis in Music Information Retrieval / Computational Intelligence for MIR, please drop me an email!]\\*/ | /*{{:staff:bullet_gross.gif|}} [If you are interested in bachelor or master thesis in Music Information Retrieval / Computational Intelligence for MIR, please drop me an email!]\\*/ | ||
- | {{:staff:bullet_gross.gif|}} <html><font color=#996600>01.2019</font>:</html> [[:staff:vatolkin:publications:abstracts#[22] | Paper on evolutionary training set selection]] <html> accepted for <a href=http://www.evostar.org/2019/cfp_evomusart.php>EvoMUSART 2019</a></html>\\ | + | {{:staff:bullet_gross.gif|}} <html><font color=#996600>01.2019</font>:</html> [[:staff:vatolkin:publications:abstracts#[29] | Paper on evolutionary training set selection]] <html> accepted for <a href=http://www.evostar.org/2019/cfp_evomusart.php>EvoMUSART 2019</a></html>\\ |
+ | {{:staff:bullet_gross.gif|}} <html><font color=#996600>01.2019</font>: <a href="https://gecco-2019.sigevo.org/index.html/Call+for+Papers">Call for papers</a> for <a href="https://gecco-2019.sigevo.org">GECCO 2019</a> in Prague with Digital Entertainment Technologies and Arts (DETA) track</html>\\ | ||
{{:staff:bullet_gross.gif|}} <html><font color=#996600>03.2018</font>: Call for abstracts <a href=http://sig-ma.de/2018/900>"Statistical Musicology"</a> session @ <a href=http://ecda2018.de>ECDA 2018</a></html>\\ | {{:staff:bullet_gross.gif|}} <html><font color=#996600>03.2018</font>: Call for abstracts <a href=http://sig-ma.de/2018/900>"Statistical Musicology"</a> session @ <a href=http://ecda2018.de>ECDA 2018</a></html>\\ | ||
{{:staff:bullet_gross.gif|}} <html><font color=#996600>02.2018</font>: DFG-funded project <a href=http://gepris.dfg.de/gepris/projekt/336599081>Evolutionary optimisation for interpretable music segmentation and music categorisation based on discretised semantic metafeatures</a> is started</html>\\ | {{:staff:bullet_gross.gif|}} <html><font color=#996600>02.2018</font>: DFG-funded project <a href=http://gepris.dfg.de/gepris/projekt/336599081>Evolutionary optimisation for interpretable music segmentation and music categorisation based on discretised semantic metafeatures</a> is started</html>\\ |