{"id":4592,"date":"2025-11-09T14:38:18","date_gmt":"2025-11-09T14:38:18","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4592"},"modified":"2025-11-09T14:38:18","modified_gmt":"2025-11-09T14:38:18","slug":"deep-classical-co-training-under-scarce-labels-for-rf-modulation-recognition","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=4592","title":{"rendered":"Deep + Classical Co-Training Under Scarce Labels for RF Modulation Recognition"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/Deep-Classical-Co-Training-Under-Scarce-Labels-for-RF-Modulation-Recognition-spectrcyde.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Deep + Classical Co-Training Under Scarce Labels for RF Modulation Recognition spectrcyde.\"><\/object><a id=\"wp-block-file--media-58094e7a-de29-4a82-a671-7a013b2fec5a\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/Deep-Classical-Co-Training-Under-Scarce-Labels-for-RF-Modulation-Recognition-spectrcyde.pdf\">Deep + Classical Co-Training Under Scarce Labels for RF Modulation Recognition spectrcyde<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/Deep-Classical-Co-Training-Under-Scarce-Labels-for-RF-Modulation-Recognition-spectrcyde.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-58094e7a-de29-4a82-a671-7a013b2fec5a\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">We study label-efficiency in RF modulation recognition by co-training a small temporal CNN with a stack of classical<br>models (RF, SVM, GBM, KNN) using handcrafted features. With<br>only 0.5% \u223c 10% labels, co-training yields consistent AUROC<br>gains and improved robustness under test-time SNR shifts. Code<br>and figures are fully reproducible.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We study label-efficiency in RF modulation recognition by co-training a small temporal CNN with a stack of classicalmodels (RF, SVM, GBM, KNN) using handcrafted features. Withonly 0.5% \u223c 10% labels, co-training yields consistent AUROCgains and improved robustness under test-time SNR shifts. Codeand figures are fully reproducible.<\/p>\n","protected":false},"author":2,"featured_media":4594,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-4592","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4592"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4592\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/4594"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}