{"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":"2021-03-03T02:15:13","modified_gmt":"2021-03-03T01:15:13","slug":"evomusart-accepted-papers","status":"publish","type":"page","link":"http:\/\/www.evostar.org\/2021\/evomusart-accepted-papers\/","title":{"rendered":"EvoMUSART Accepted Papers"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Long Talks<\/h3>\n\n\n\n<ul><li>Sculpture Inspired Musical Composition, One Possible Approach<br><em>Francisco Braga and H. Sofia Pinto<\/em><\/li><li>Network Bending: Expressive Manipulation of Deep Generative Models<br><em>Terence Broad, Frederic Fol Leymarie and Mick Grierson<\/em><\/li><li>SyVMO: Synchronous Variable Markov Oracle for modeling and predicting multi-part musical structures<br><em>N\u00e1dia Carvalho and Gilberto Bernardes<\/em><\/li><li>Identification of Pure Painting Pigment using Machine Learning algorithms<br><em>Ailin Chen, Rui Jesus and Marcia Vilarigues<\/em><\/li><li>Evolving Neural Style Transfer Blends<br><em>Simon Colton<\/em><\/li><li>Evolving Image Enhancement Pipelines<br><em>Jo\u00e3o Correia, Leonardo Vieira, Nereida Rodriguez-Fernandez, Juan Romero and Penousal Machado<\/em><\/li><li>Genre Recognition from Symbolic Music with CNNs<br><em>Edmund Dervakos, Natalia Kotsani and Giorgos Stamou<\/em><\/li><li>Axial Generation: A Concretism-inspired Method for Synthesizing Highly Varied Artworks<br><em>Edward Easton, Aniko Ekart and Ulysses Bernardet<\/em><\/li><li>Interactive, Efficient and Creative Image Generation Using Compositional Pattern-Producing Networks<br><em>Erlend Gjesteland Ekern and Bj\u00f6rn Gamb\u00e4ck<\/em><\/li><li>Aesthetic Evaluation of Cellular Automata Configurations using Spatial Complexity and Kolmogorov Complexity<br><em>Mohammad Ali Javaheri Javid<\/em><\/li><li>Auralization of three-dimensional cellular automata<br><em>Yuta Kariyado, Camilo Arevalo and Juli\u00e1n Villegas<\/em><\/li><li>Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction<br><em>Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan, Jonathan K. Kummerfeld, Anil \u00c7amci and Rada Mihalcea<\/em><\/li><li>Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation<br><em>Francesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo Minisci and Annalisa Riccardi<\/em><\/li><li>The Enigma of Complexity<br><em>Jon McCormack, Camilo Cruz Gambardella and Andy Lomas<\/em><\/li><li>SerumRNN: Step by Step Audio VST Effect Programming<br><em>Christopher Mitcheltree and Hideki Koike<\/em><\/li><li>Parameter tuning for wavelet-based sound event detection using Neural Networks<br><em>Pallav Raval and Jabez Christopher<\/em><\/li><li>Raga Recognition in Indian Classical Music using Deep Learning<br><em>Devansh Shah, Nikhil Jagtap, Prathmesh Talekar and Kiran Gawande<\/em><\/li><li>The Simulated Emergence of Chord Function<br><em>Yui Uehara and Satoshi Tojo<\/em><\/li><li>Incremental Evolution of Stylized Images<br><em>Florian Uhde<\/em><\/li><li>Dissecting Neural Networks Filter Responses for Artistic Style Transfer<br><em>Florian Uhde and Sanaz Mostaghim<\/em><\/li><li>A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features<br><em>Igor Vatolkin, Benedikt Adrian and Jurij Kuzmic<\/em><\/li><li>A Multi-Objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation<br><em>Igor Vatolkin, Marcel Koch and Meinard M\u00fcller<\/em><\/li><li>Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks<br><em>Benedikte Wallace, Charles P. Martin, Jim Torresen and Kristian Nymoen<\/em><\/li><li>&#8220;A Good Algorithm Does Not Steal &#8211; It Imitates&#8221;: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much<br><em>Zongyu Yin, Federico Reuben, Susan Stepney and Tom Collins<\/em><\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Short Talks<\/h3>\n\n\n\n<ul><li>From Music to Image &#8211; A Computational Creativity Approach<br><em>Lu\u00eds Aleixo, H. Sofia Pinto and Nuno Correia<\/em><\/li><li>&#8220;What is human?&#8221; A Turing Test for artistic creativity<br><em>Antonio Daniele, Caroline Di Bernardi Luft and Nick Bryan-Kinns<\/em><\/li><li>Mixed-Initiative Level Design with RL Brush<br><em>Omar Delarosa, Hang Dong, Mindy Ruan, Ahmed Khalifa and Julian Togelius<\/em><\/li><li>Creating a Digital Mirror of Creative Practice<br><em>Colin Johnson<\/em><\/li><li>An Application for Evolutionary Music Composition using Autoencoders<br><em>Robert Neil McArthur and Charles Patrick Martin<\/em><\/li><li>A Swarm Grammar-Based Approach to Virtual World Generation<br><em>Yasin Raies and Sebastian von Mammen<\/em><\/li><li>Co-Creative Drawing with One-Shot Generative Models<br><em>Sabine Wieluch and Friedhelm Schwenker<\/em><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Long Talks Sculpture Inspired Musical Composition, One Possible ApproachFrancisco Braga and H. Sofia Pinto Network Bending: Expressive Manipulation of Deep Generative ModelsTerence Broad, Frederic Fol Leymarie and Mick Grierson SyVMO: Synchronous Variable Markov Oracle for modeling and predicting multi-part musical structuresN\u00e1dia Carvalho and Gilberto Bernardes Identification of Pure Painting Pigment using Machine Learning algorithmsAilin Chen, [&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\/2021\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":8,"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1798,"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/pages\/963\/revisions\/1798"}],"wp:attachment":[{"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}