{"id":741,"date":"2022-11-05T16:42:50","date_gmt":"2022-11-05T16:42:50","guid":{"rendered":"https:\/\/ifipaiai.org\/2023\/?page_id=741"},"modified":"2022-12-23T18:25:31","modified_gmt":"2022-12-23T18:25:31","slug":"adud","status":"publish","type":"page","link":"https:\/\/ifipaiai.org\/2023\/workshops\/adud\/","title":{"rendered":"ADUD"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"741\" class=\"elementor elementor-741\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e8e177f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e8e177f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3cac6d2\" data-id=\"3cac6d2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dfc903b elementor-widget elementor-widget-heading\" data-id=\"dfc903b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 13-03-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h4 class=\"elementor-heading-title elementor-size-default\">The 1st Workshop on<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2918579 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2918579\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d3a20b9\" data-id=\"d3a20b9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-755ad90 elementor-widget elementor-widget-heading\" data-id=\"755ad90\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Anomaly Detection in Unstructured Data (ADUD)<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e9d9b22 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e9d9b22\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3169ffe\" data-id=\"3169ffe\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-750ceca elementor-widget elementor-widget-text-editor\" data-id=\"750ceca\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 13-03-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Anomaly detection is one of the machine\/deep learning techniques with the largest number of practical applications; for example, predictive maintenance, cybersecurity and fraud detection, to name a few. On the other hand, unstructured data (mainly text, images and video) has become the predominant data in terms of size and number of applications compared to structured data. The union of both fields in what is called anomaly detection in unstructured data, is an area of active research in which advances are continually being made. This workshop is open to receive contributions <br \/>in this field both at theoretical level (algorithms) and at the practical level.<\/p><p><strong>Chairman:<\/strong> Joan Vila-Franc\u00e9s (<a href=\"mailto:joan.vila@uv.es\" target=\"_blank\" rel=\"noopener\">joan.vila@uv.es<\/a>) and Antonio Jos\u00e9 Serrano-L\u00f3pez (<a href=\"mailto:ajserran@uv.es\" target=\"_blank\" rel=\"noopener\">ajserran@uv.es<\/a>); researchers from the IDAL research group (<a href=\"http:\/\/idal.uv.es\" target=\"_blank\" rel=\"noopener\">http:\/\/idal.uv.es<\/a>) University of Valencia<\/p><p><b>Important dates<\/b><\/p><p>Please visit <a href=\"https:\/\/ifipaiai.org\/2023\/important-dates\/\">AIAI 2023 important dates<\/a> to be informed about the submission deadlines.<\/p><p><b>Submission instructions<\/b><span><\/span><\/p><p>Submission details can be found at AIAI conference<span>\u00a0<\/span><a href=\"https:\/\/ifipaiai.org\/2023\/paper-submission\/\">submission page<\/a>.<\/p><p>All papers should be submitted either in a doc\/docx or in a pdf form and will be peer reviewed by at least 2 academic referees. Contributing authors must follow the<span>\u00a0<\/span><a href=\"https:\/\/ifipaiai.org\/2023\/calls-for-papers\/\">AIAI2023\u2019s paper format guidelines<\/a><span>\u00a0<\/span>as far as the IFIP AICT file format.<\/p><p><span>Papers will be peer reviewed by at least two (-2-) members of the workshop\u2019s program committee.<\/span><\/p><p><span>Accepted papers will be published in the Proceedings of AIAI VOLUME 2, under the Springer IFIP AICT Series.<\/span><\/p><p><span lang=\"EN-US\">You can submit you ADUD paper here<span>\u00a0<\/span><a href=\"http:\/\/www.easyacademia.org\/aiai2023\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=http:\/\/www.easyacademia.org\/aiai2022&amp;source=gmail&amp;ust=1640959020019000&amp;usg=AOvVaw0xTTG6k6DEqtrHqlo61bP0\" rel=\"noopener\">http:\/\/www.easyacademia.org\/aiai2023<\/a>.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-863fff2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"863fff2\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6d591c3\" data-id=\"6d591c3\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-678a18d elementor-widget elementor-widget-spacer\" data-id=\"678a18d\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 13-03-2024 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container{height:100%;width:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty,.e-con>.elementor-widget-spacer.elementor-widget-empty{position:relative;min-height:22px;min-width:22px}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon,.e-con>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon{position:absolute;top:0;bottom:0;left:0;right:0;margin:auto;padding:0;width:22px;height:22px}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\/*! elementor &#8211; v3.5.4 &#8211; 23-01-2022 *\/ .elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]&gt;a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px} The 1st Workshop on Anomaly Detection in Unstructured Data (ADUD) Anomaly detection is one of the machine\/deep learning techniques with the largest number of practical applications; for example, predictive maintenance, cybersecurity and fraud detection, to name [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":74,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/pages\/741"}],"collection":[{"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/comments?post=741"}],"version-history":[{"count":13,"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/pages\/741\/revisions"}],"predecessor-version":[{"id":862,"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/pages\/741\/revisions\/862"}],"up":[{"embeddable":true,"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/pages\/74"}],"wp:attachment":[{"href":"https:\/\/ifipaiai.org\/2023\/wp-json\/wp\/v2\/media?parent=741"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}