{"id":1380,"date":"2021-12-02T19:26:20","date_gmt":"2021-12-02T19:26:20","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1380"},"modified":"2022-09-01T23:09:49","modified_gmt":"2022-09-01T23:09:49","slug":"vol19-no1","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/","title":{"rendered":"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 19 &#8211; N\u00famero 1"},"content":{"rendered":"<p><a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/12\/vol19-no1-art0.pdf\" target=\"_blank\" rel=\"noopener\">Cover<\/a><br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1-art1\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Improving Prototypes Representativeness by Internal Validity Index Analysis<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Alexandre Szabo, Thomaz A. Ruckl<\/ul>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1-art2\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Testing for Non-Linear Structures in Artificial and Real-World Financial Data with Recurrence Quantification Analysis<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Ricardo Giglio, Eduardo Ferreira da Silva<\/ul>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1-art3\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Sobre o Problema de Previs\u00e3o da Covid-19 Utilizando Modelos Morfol\u00f3gico-Linear Profundos<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Ricardo de Andrade Ara\u00fajo<\/ul>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1-art4\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Detection and Segmentation of Lungs Regions Using CNN Combined with Levelset<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Pedro Cavalcante Sousa J\u00fanior, Lu\u00eds Fabr\u00edcio de Freitas Souza, Jos\u00e9 Jerovane da Costa Nascimento, Lucas Oliveira dos Santos, Adriell Gomes Marques, Francisco Eduardo Sales Ribeiro, Pedro Pedrosa Rebou\u00e7as Filho<\/ul>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1-art5\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">From MSE to Correntropy, a friendly survey<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Allan de Medeiros Martins<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Cover Improving Prototypes Representativeness by Internal Validity Index Analysis Alexandre Szabo, Thomaz A. Ruckl Testing for Non-Linear Structures in Artificial and Real-World Financial Data with Recurrence Quantification Analysis Ricardo Giglio, Eduardo Ferreira da Silva Sobre o Problema de Previs\u00e3o da <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":23,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1380","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Learning &amp; Nonlinear Models - L&amp;NLM - Volume 19 - N\u00famero 1 - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Learning &amp; Nonlinear Models - L&amp;NLM - Volume 19 - N\u00famero 1 - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"Cover Improving Prototypes Representativeness by Internal Validity Index Analysis Alexandre Szabo, Thomaz A. Ruckl Testing for Non-Linear Structures in Artificial and Real-World Financial Data with Recurrence Quantification Analysis Ricardo Giglio, Eduardo Ferreira da Silva Sobre o Problema de Previs\u00e3o da Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/\" \/>\n<meta property=\"og:site_name\" content=\"Learning and NonLinear Models\" \/>\n<meta property=\"article:modified_time\" content=\"2022-09-01T23:09:49+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/\",\"name\":\"Learning & Nonlinear Models - L&NLM - Volume 19 - N\u00famero 1 - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2021-12-02T19:26:20+00:00\",\"dateModified\":\"2022-09-01T23:09:49+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 19 &#8211; N\u00famero 1\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"name\":\"Learning and NonLinear Models\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\",\"name\":\"Learning and NonLinear Models\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"width\":398,\"height\":94,\"caption\":\"Learning and NonLinear Models\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Learning & Nonlinear Models - L&NLM - Volume 19 - N\u00famero 1 - Learning and NonLinear Models","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/","og_locale":"pt_BR","og_type":"article","og_title":"Learning & Nonlinear Models - L&NLM - Volume 19 - N\u00famero 1 - Learning and NonLinear Models","og_description":"Cover Improving Prototypes Representativeness by Internal Validity Index Analysis Alexandre Szabo, Thomaz A. Ruckl Testing for Non-Linear Structures in Artificial and Real-World Financial Data with Recurrence Quantification Analysis Ricardo Giglio, Eduardo Ferreira da Silva Sobre o Problema de Previs\u00e3o da Read More ...","og_url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/","og_site_name":"Learning and NonLinear Models","article_modified_time":"2022-09-01T23:09:49+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. tempo de leitura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/","url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/","name":"Learning & Nonlinear Models - L&NLM - Volume 19 - N\u00famero 1 - Learning and NonLinear Models","isPartOf":{"@id":"https:\/\/sbia.org.br\/lnlm\/#website"},"datePublished":"2021-12-02T19:26:20+00:00","dateModified":"2022-09-01T23:09:49+00:00","breadcrumb":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Browse issues","item":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/"},{"@type":"ListItem","position":2,"name":"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 19 &#8211; N\u00famero 1"}]},{"@type":"WebSite","@id":"https:\/\/sbia.org.br\/lnlm\/#website","url":"https:\/\/sbia.org.br\/lnlm\/","name":"Learning and NonLinear Models","description":"","publisher":{"@id":"https:\/\/sbia.org.br\/lnlm\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/sbia.org.br\/lnlm\/#organization","name":"Learning and NonLinear Models","url":"https:\/\/sbia.org.br\/lnlm\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/","url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png","contentUrl":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png","width":398,"height":94,"caption":"Learning and NonLinear Models"},"image":{"@id":"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/1380","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/comments?post=1380"}],"version-history":[{"count":8,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/1380\/revisions"}],"predecessor-version":[{"id":1434,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/1380\/revisions\/1434"}],"up":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/23"}],"wp:attachment":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/media?parent=1380"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}