{"id":12387,"date":"2025-06-06T08:41:13","date_gmt":"2025-06-06T06:41:13","guid":{"rendered":"https:\/\/dbdmg.polito.it\/dbdmg_web\/?p=12387"},"modified":"2025-06-06T08:41:13","modified_gmt":"2025-06-06T06:41:13","slug":"reading-group-6-june-2025","status":"publish","type":"post","link":"https:\/\/dbdmg.polito.it\/dbdmg_web\/2025\/reading-group-6-june-2025\/","title":{"rendered":"Reading Group 6 June 2025"},"content":{"rendered":"\n<p class=\" eplus-wrapper\"><strong>Title:<\/strong> CohEx: A Generalized Framework for Cohort Explanation<br>\ud83d\udd17 <a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/34140\">https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/34140<\/a><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Abstract:<\/strong> eXplainable Artificial Intelligence (XAI) has garnered significant attention for enhancing transparency and trust in machine learning models. However, the scopes of most existing explanation techniques focus either on offering a holistic view of the explainee model (global explanation) or on individual instances (local explanation), while the middle ground, i.e., cohort-based explanation, is less explored. Cohort explanations offer insights into the explainee&#8217;s behavior on a specific group or cohort of instances, enabling a deeper understanding of model decisions within a defined context. In this paper, we discuss the unique challenges and opportunities associated with measuring cohort explanations, define their desired properties, and create a generalized framework for generating cohort explanations based on supervised clustering.<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Speaker:<\/strong> Eliana Pastor<\/p>\n\n\n\n<p class=\" eplus-wrapper\">&#8212;<br>\ud83d\uddd3\ufe0f<strong> <\/strong>Friday, June 6, 2025, Time 12:00-13:00<br>\ud83d\udccd Meeting Room 3 \u2013 DAUIN<br>\ud83d\udcbb <a href=\"https:\/\/polito-it.zoom.us\/j\/85220942232?pwd=7MVooHhMRAnO0Cv9dj4dhDNTQ8KGwk.1&amp;from=addon\">Zoom Meeting<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcc3 CohEx: A Generalized Framework for Cohort Explanation<\/p>\n<p>\ud83d\uddd3\ufe0f June 6, 2025, Time 12:00-13:00<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"editor_plus_copied_stylings":"{}","footnotes":""},"categories":[42,45],"tags":[],"class_list":["post-12387","post","type-post","status-publish","format-standard","hentry","category-events","category-reading-group"],"_links":{"self":[{"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/posts\/12387","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/comments?post=12387"}],"version-history":[{"count":1,"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/posts\/12387\/revisions"}],"predecessor-version":[{"id":12388,"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/posts\/12387\/revisions\/12388"}],"wp:attachment":[{"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/media?parent=12387"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/categories?post=12387"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/tags?post=12387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}