{"id":918,"date":"2026-01-19T17:26:16","date_gmt":"2026-01-19T17:26:16","guid":{"rendered":"https:\/\/www.valeriogiuffrida.academy\/wp\/?page_id=918"},"modified":"2026-01-19T17:26:17","modified_gmt":"2026-01-19T17:26:17","slug":"yr2026","status":"publish","type":"page","link":"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/","title":{"rendered":"Publications: 2026"},"content":{"rendered":"\n\n<!-- Page-list plugin v.5.9 wordpress.org\/plugins\/page-list\/ -->\n<div class=\"page-list page-list-ext \">\n<div class=\"page-list-ext-item\"><div class=\"page-list-ext-image\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/feng2026\/\" title=\"A conversational multi-agent AI system for automated plant phenotyping\"><img decoding=\"async\" src=\"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-content\/uploads\/2026\/04\/image_2026-04-15_132905992.png\" width=\"150\" alt=\"A conversational multi-agent AI system for automated plant phenotyping\" \/><\/a><\/div> <h3 class=\"page-list-ext-title\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/feng2026\/\" title=\"A conversational multi-agent AI system for automated plant phenotyping\">A conversational multi-agent AI system for automated plant phenotyping<\/a><\/h3><div class=\"page-list-ext-item-content\">Generating realistic images to accurately predict changes in the structure of brain MRI can be a crucial tool for clinicians. Such applications can help assess patients\u2019 outcomes and analyze how diseases progress at the individual level. However, existing methods developed for this task present some l...<\/div><\/div>\n<div class=\"page-list-ext-item\"><div class=\"page-list-ext-image\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/pontorno2026\/\" title=\"\u03bcFlow: Leveraging Average Images for Improving Generalisation of Deepfake Faces Detectors\"><img decoding=\"async\" src=\"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-content\/uploads\/2026\/08\/image_2026-08-20_113722308.png\" width=\"150\" alt=\"\u03bcFlow: Leveraging Average Images for Improving Generalisation of Deepfake Faces Detectors\" \/><\/a><\/div> <h3 class=\"page-list-ext-title\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/pontorno2026\/\" title=\"\u03bcFlow: Leveraging Average Images for Improving Generalisation of Deepfake Faces Detectors\">\u03bcFlow: Leveraging Average Images for Improving Generalisation of Deepfake Faces Detectors<\/a><\/h3><div class=\"page-list-ext-item-content\">Generating realistic images to accurately predict changes in the structure of brain MRI can be a crucial tool for clinicians. Such applications can help assess patients\u2019 outcomes and analyze how diseases progress at the individual level. However, existing methods developed for this task present some l...<\/div><\/div>\n<div class=\"page-list-ext-item\"><div class=\"page-list-ext-image\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/litricoetal26b\/\" title=\"TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation\"><img decoding=\"async\" src=\"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-content\/uploads\/2026\/01\/immagine_2026-01-19_174248928.png\" width=\"150\" alt=\"TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation\" \/><\/a><\/div> <h3 class=\"page-list-ext-title\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/litricoetal26b\/\" title=\"TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation\">TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation<\/a><\/h3><div class=\"page-list-ext-item-content\">Generating realistic images to accurately predict changes in the structure of brain MRI can be a crucial tool for clinicians. Such applications can help assess patients\u2019 outcomes and analyze how diseases progress at the individual level. However, existing methods developed for this task present some l...<\/div><\/div>\n<div class=\"page-list-ext-item\"><div class=\"page-list-ext-image\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/litrico26\/\" title=\"Count2Density: Crowd density estimation without location-level annotations\"><img decoding=\"async\" src=\"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-content\/uploads\/2026\/04\/image_2026-04-16_140223416.png\" width=\"150\" alt=\"Count2Density: Crowd density estimation without location-level annotations\" \/><\/a><\/div> <h3 class=\"page-list-ext-title\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/litrico26\/\" title=\"Count2Density: Crowd density estimation without location-level annotations\">Count2Density: Crowd density estimation without location-level annotations<\/a><\/h3><div class=\"page-list-ext-item-content\">Generating realistic images to accurately predict changes in the structure of brain MRI can be a crucial tool for clinicians. Such applications can help assess patients\u2019 outcomes and analyze how diseases progress at the individual level. However, existing methods developed for this task present some l...<\/div><\/div>\n<div class=\"page-list-ext-item\"><div class=\"page-list-ext-image\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/litricoetal26\/\" title=\"Temporally-aware diffusion model for brain progression modelling with bidirectional temporal regularisation\"><img decoding=\"async\" src=\"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-content\/uploads\/2026\/01\/1-s2.0-S0895611125001971-gr2_lrg-scaled-e1768843909690-925x1024.jpg\" width=\"150\" alt=\"Temporally-aware diffusion model for brain progression modelling with bidirectional temporal regularisation\" \/><\/a><\/div> <h3 class=\"page-list-ext-title\"><a href=\"https:\/\/www.valeriogiuffrida.academy\/wp\/publications\/yr2026\/litricoetal26\/\" title=\"Temporally-aware diffusion model for brain progression modelling with bidirectional temporal regularisation\">Temporally-aware diffusion model for brain progression modelling with bidirectional temporal regularisation<\/a><\/h3><div class=\"page-list-ext-item-content\">Generating realistic images to accurately predict changes in the structure of brain MRI can be a crucial tool for clinicians. Such applications can help assess patients\u2019 outcomes and analyze how diseases progress at the individual level. However, existing methods developed for this task present some l...<\/div><\/div>\n\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":62,"menu_order":26,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-918","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/pages\/918","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/comments?post=918"}],"version-history":[{"count":1,"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/pages\/918\/revisions"}],"predecessor-version":[{"id":919,"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/pages\/918\/revisions\/919"}],"up":[{"embeddable":true,"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/pages\/62"}],"wp:attachment":[{"href":"https:\/\/www.valeriogiuffrida.academy\/wp\/wp-json\/wp\/v2\/media?parent=918"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}