{"id":329,"date":"2025-06-18T08:01:08","date_gmt":"2025-06-18T08:01:08","guid":{"rendered":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/?page_id=329"},"modified":"2025-06-18T08:03:11","modified_gmt":"2025-06-18T08:03:11","slug":"teodora-selea","status":"publish","type":"page","link":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/teodora-selea\/","title":{"rendered":"Teodora Selea"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"329\" class=\"elementor elementor-329\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3df54f4 e-flex e-con-boxed e-con e-parent\" data-id=\"3df54f4\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0963304 elementor-widget elementor-widget-text-editor\" data-id=\"0963304\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Name<\/strong>:\u00a0<span style=\"font-size: 1rem;\">Teodora\u00a0<\/span><span style=\"font-size: 1rem;\">Selea\u00a0<br \/><\/span><strong style=\"font-size: 1rem;\">Affiliation<\/strong><span style=\"font-size: 1rem;\">: West University of Timisoara<br \/><\/span><strong style=\"font-size: 1rem;\">Primary research interest<\/strong><span style=\"font-size: 1rem;\">: Machine Learning applied on Earth Observation<\/span><\/p><p><strong>Title of the lecture<\/strong>: Deep Learning Applied to Earth Observation<br \/><strong>Keywords<\/strong>: eep learning, earth observation, agriculture<br \/><strong>Summary<\/strong>:\u00a0 The growing availability of high-resolution Earth Observation (EO) data made it necessary to monitor and analyse the environment on a wide scale. Deep learning techniques have showed a lot of potential for getting structured information out of EO images. This opens up a lot of possibilities, from classifying land cover to precision agriculture. This talk gives an overview of the main problems and methods involved in getting EO datasets ready for deep learning processes. The examples used are from agricultural monitoring, however the methods talked about can be used in many EO-driven applications. The goal of this presentation is to give a structured view on how to create strong and scalable deep learning models for EO.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Name:\u00a0Teodora\u00a0Selea\u00a0Affiliation: West University of TimisoaraPrimary research interest: Machine Learning applied on Earth Observation Title of the lecture: Deep Learning Applied to Earth ObservationKeywords: eep learning, earth observation, agricultureSummary:\u00a0 The growing availability of high-resolution Earth Observation (EO) data made it necessary to monitor and analyse the environment on a wide scale. Deep learning techniques have showed &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/teodora-selea\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Teodora Selea&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-329","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/wp-json\/wp\/v2\/pages\/329","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/wp-json\/wp\/v2\/comments?post=329"}],"version-history":[{"count":3,"href":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/wp-json\/wp\/v2\/pages\/329\/revisions"}],"predecessor-version":[{"id":332,"href":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/wp-json\/wp\/v2\/pages\/329\/revisions\/332"}],"wp:attachment":[{"href":"https:\/\/www.inf.u-szeged.hu\/~ssip\/2025\/wp-json\/wp\/v2\/media?parent=329"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}