{"id":403,"date":"2019-10-02T17:07:39","date_gmt":"2019-10-02T15:07:39","guid":{"rendered":"http:\/\/www.evostar.org\/2020\/?page_id=403"},"modified":"2019-10-29T09:44:58","modified_gmt":"2019-10-29T08:44:58","slug":"eml","status":"publish","type":"page","link":"http:\/\/www.evostar.org\/2020\/evoapps\/eml\/","title":{"rendered":"Evolutionary Machine Learning"},"content":{"rendered":"\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"694\" src=\"http:\/\/www.evostar.org\/2020\/wp-content\/uploads\/2019\/10\/evo2020_banners_pages_evoapps_ss-eml-1024x694.png\" alt=\"\" class=\"wp-image-406\" srcset=\"http:\/\/www.evostar.org\/2020\/wp-content\/uploads\/2019\/10\/evo2020_banners_pages_evoapps_ss-eml-1024x694.png 1024w, http:\/\/www.evostar.org\/2020\/wp-content\/uploads\/2019\/10\/evo2020_banners_pages_evoapps_ss-eml-300x203.png 300w, http:\/\/www.evostar.org\/2020\/wp-content\/uploads\/2019\/10\/evo2020_banners_pages_evoapps_ss-eml-768x520.png 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n<p>The Special Session on Evolutionary Machine Learning (EML) of Evo Apps will provide a specialized forum of discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture, with the long-term goal of evolving Artificial Intelligence (AI).<\/p>\n\n\n<p>Giving response to the growing interest in the area, and consequent advances of the state-of-the-art, the special session covers theoretical and practical advances on the combination of Evolutionary Computation (EC) and Machine Learning (ML) techniques.<\/p>\n\n\n\n<p><a href=\"http:\/\/www.evostar.org\/2020\/wp-content\/uploads\/2019\/10\/evoApp_2_2_1.pdf\">Download the EvoAPPS special session on EML flyer<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Topics of Interest<\/h2>\n\n\n\n<p>Topics of interest include, but are not limited to:<\/p>\n\n\n\n<ul><li>EC as an ML technique: Using EC to solve typical ML tasks such as Classification or Clustering<\/li><li>EC applied ML algorithms: Neuroevolution, Feature Selection, Feature Engineering, Evolutionary Adversarial Models<\/li><li>ML applied to EC: Surrogate-model design by ML for EC, Learning Problem Structure, ML for Diversity, Designing Search Strategies, Predicting Promising Regions, Using ML to Decrease Computational Effort<\/li><li>Real world applications issues: EC for Fairness, Robustness, Trustworthiness and Explainability; Green EML<\/li><li>Emerging topics: EC for AutoML; EC for Transfer Learning; EC for Multitasking; Evolving Learning Functions, Neurons and Linkage; EC for Verification and Validation of ML<\/li><\/ul>\n\n\n\n<p>Download the EvoAPPS special session on EML flyer<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Submission Details<\/strong><\/h2>\n\n\n\n<p>Submissions must be original and not published elsewhere. They will be peer reviewed by members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper.&nbsp;<br><\/p>\n\n\n\n<p>Submit your manuscript in Springer LNCS format and provide up to five keywords in your Abstract<br><\/p>\n\n\n\n<p><strong>Page limit: <\/strong>16 pages<br><strong>Submission link: <\/strong><a href=\"http:\/\/www.easychair.org\/conferences\/?conf=evo2020\">www.easychair.org\/conferences\/?conf=evo2020<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Organizers<\/strong><\/h2>\n\n\n\n<p>Penousal Machado<br>Wolfgang Banzhaf<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Special Session on Evolutionary Machine Learning (EML) of Evo Apps will provide a specialized forum of discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture, with the long-term goal of evolving Artificial Intelligence (AI). Giving response to the growing interest in the area, and consequent advances of [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"parent":80,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-notitle.php","meta":{"footnotes":""},"_links":{"self":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/403"}],"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\/14"}],"replies":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/comments?post=403"}],"version-history":[{"count":12,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/403\/revisions"}],"predecessor-version":[{"id":633,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/403\/revisions\/633"}],"up":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/80"}],"wp:attachment":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/media?parent=403"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}