{"id":963,"date":"2020-02-28T23:00:16","date_gmt":"2020-02-28T22:00:16","guid":{"rendered":"http:\/\/www.evostar.org\/2020\/?page_id=963"},"modified":"2021-02-06T20:09:29","modified_gmt":"2021-02-06T19:09:29","slug":"evomusart-accepted-papers","status":"publish","type":"page","link":"http:\/\/www.evostar.org\/2020\/evomusart-accepted-papers\/","title":{"rendered":"EvoMUSART Accepted Papers"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\">Long Talks<\/h4>\n\n\n\n<ul><li>Mar\u00eda Navarro-C\u00e1ceres, Marcelo Caetano and Gilberto Bernardes.  <em>Objective Evaluation of Tonal Fitness for Chord Progressions <\/em><\/li><li> Jon McCormack and Andy Lomas. <em>Understanding Aesthetic Evaluation with Deep Learning <\/em><\/li><li> Sebastian Trump. <em>GenImpro: An Evolutionary Model For Musical Improvisation <\/em>(<a href=\"https:\/\/youtu.be\/6nahveAeBbQ\">recorded presentation<\/a>)<\/li><li> Manuel Muehlbauer, Jane Burry and Andy Song.<em> An aesthetic-based fitness  measure and a framework for guidance of evolutionary design in  architecture <\/em><\/li><li>Simon Colton,  Jon McCormack, Elena Petrovskaya, Sebastian Berns and Michael Cook.  <em>Adapting and Enhancing Evolutionary Art for Casual Creation<\/em> (<a href=\"https:\/\/youtu.be\/A-O3Oe3u7hY\">recorded presentation<\/a>)<\/li><li> Edward Ly and Juli\u00e1n Villegas. <em>Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms <\/em>(<a href=\"https:\/\/youtu.be\/E6Wv1rD2Nmc\">recorded presentation<\/a>)<\/li><li> Anna Krolikowski, Sarah Friday, Alice Quintanilla and Jacob Schrum. <em>Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles <\/em><\/li><li> Stephen Lou Banal and Vic Ciesielski. <em>A deep learning neural network for classifying good and bad photos <\/em><\/li><li> Jonathan Young and Simon Colton. <em>Controlling Self-Organization in Generative Creative Systems <\/em><\/li><li> Xiaoquan Li, Kaiqi Wang, John Soraghan and Jinchang Ren. <em>Fusion of  Hilbert-Huang Transform and Deep Convolutional Neural Network for  Predominant Musical Instruments Recognition <\/em>(<a href=\"https:\/\/youtu.be\/4E5wHJUUaGI\">recorded presentation<\/a>)<\/li><li> Tiago Martins, Jo\u00e3o Correia, S\u00e9rgio Rebelo, Jo\u00e3o Bicker and Penousal Machado. <em>Portraits of No One: An Interactive Installation <\/em>(<a href=\"https:\/\/youtu.be\/wlbMWNTRtz0\">recorded presentation<\/a>)<\/li><li> Matthew Lewis. <em>Emerging Technology System Evolution<\/em> (<a href=\"https:\/\/youtu.be\/e1qQx-woFSs\">recorded presentation<\/a>)<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Short Talks<\/h4>\n\n\n\n<ul><li> Frederik Heerde, Igor Vatolkin and G\u00fcnter Rudolph. <em>Comparing Fuzzy Rule Based Approaches for Music Genre Classification <\/em>(<a href=\"https:\/\/youtu.be\/3YAbzx8yfe0\">recorded presentation<\/a>)<\/li><li>Augusto Zubiaga and Lourdes Cilleruelo. <em>Emulation Games.<\/em> <em>See and Be Seen, an Subjective Approach to Analog Computational Neuroscience<\/em> (<a href=\"https:\/\/youtu.be\/14mAHplwdIo\">recorded presentation<\/a>)<\/li><li> Moshe Sipper, Jason H. Moore and Ryan J. Urbanowicz. <em>Coevolving Artistic Images Using OMNIREP <\/em>(<a href=\"https:\/\/youtu.be\/tG9q4WkdXos\">recorded presentation<\/a>)<\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Long Talks Mar\u00eda Navarro-C\u00e1ceres, Marcelo Caetano and Gilberto Bernardes. Objective Evaluation of Tonal Fitness for Chord Progressions Jon McCormack and Andy Lomas. Understanding Aesthetic Evaluation with Deep Learning Sebastian Trump. GenImpro: An Evolutionary Model For Musical Improvisation (recorded presentation) Manuel Muehlbauer, Jane Burry and Andy Song. An aesthetic-based fitness measure and a framework for guidance [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":5,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1382,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/963\/revisions\/1382"}],"wp:attachment":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}