{"id":10751,"date":"2024-02-23T23:23:09","date_gmt":"2024-02-23T22:23:09","guid":{"rendered":"https:\/\/www.ibisc.univ-evry.fr\/farida-zehraoui-will-defend-her-habilitation-a-diriger-les-recherches-on-friday-february-23-2024-interpretability-of-deep-learning-models-in-personalized-medicine\/"},"modified":"2024-06-15T23:24:21","modified_gmt":"2024-06-15T21:24:21","slug":"farida-zehraoui-will-defend-her-habilitation-a-diriger-les-recherches-on-friday-february-23-2024-interpretability-of-deep-learning-models-in-personalized-medicine","status":"publish","type":"post","link":"https:\/\/www.ibisc.univ-evry.fr\/en\/farida-zehraoui-will-defend-her-habilitation-a-diriger-les-recherches-on-friday-february-23-2024-interpretability-of-deep-learning-models-in-personalized-medicine\/","title":{"rendered":"Farida ZEHRAOUI will defend her Habilitation \u00e0 Diriger les Recherches on Friday February 23, 2024: “Interpretability of Deep Learning Models in Personalized Medicine”."},"content":{"rendered":"
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Composition of the hdr jury<\/span><\/h3>\n<\/div>\n
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Jury members<\/th>\nTitle<\/th>\nInstitution<\/th>\nJury function<\/th>\n<\/tr>\n<\/thead>\n
Youn\u00e8s BENNANI<\/td>\nProfesseur des universit\u00e9s<\/td>\nUniversit\u00e9 Sorbonne-Paris-Nord<\/td>\nExaminateur<\/td>\n<\/tr>\n
C\u00e9cile CAPONI<\/td>\nProfesseur des universit\u00e9s<\/td>\nUniversit\u00e9 Aix-Marseille<\/td>\nRapporteure<\/td>\n<\/tr>\n
Antoine CORNUEJOLS<\/td>\nProfesseur des universit\u00e9s<\/td>\nAgroParisTech<\/td>\nExaminateur<\/td>\n<\/tr>\n
Laurent HEUTTE<\/td>\nProfesseur des Universit\u00e9s<\/td>\nUniversit\u00e9 de Rouen<\/td>\nExaminateur<\/td>\n<\/tr>\n
Pascale KUNTZ-COSPEREC<\/td>\nProfesseure des Universit\u00e9s<\/td>\n\u00c9cole Polytechnique de l’Universit\u00e9 de Nantes<\/td>\nRapporteure<\/td>\n<\/tr>\n
C\u00e9dric WEMMERT<\/td>\nProfesseur des Universit\u00e9s<\/td>\nUniversit\u00e9 de Strasbourg<\/td>\nRapporteur<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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Farida ZEHRAOUI defends her Habilitation \u00e0 Diriger les Recherches<\/em> on Friday, February 23, 2024 at 2:00 p.m. at IBGBI petit amphith\u00e9\u00e2tre.<\/strong>\u00a0<\/span><\/p>\n

Title<\/strong>: Interpretability of Deep Learning Models in Personalized Medicine<\/h2>\n

Abstract<\/strong><\/h2>\n
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Within the realm of healthcare, machine learning (ML) techniques have demonstrated remarkable potential in enhancing diagnostics, treatment strategies, and overall patient care.
\nDeep Learning has particularly shown impressive results in diverse healthcare applications, notably in medical image analysis and recognition.<\/p>\n

However, deep learning models are considered “black-box” systems. In healthcare, where interpretability is crucial, understanding how a model arrives at a diagnosis or treatment recommendation is imperative for ensuring trust and widespread adoption.<\/p>\n

To address this challenge, we proposed several deep learning and hybrid architectures that are interpretable by design. Our approaches include the following strategies:<\/p>\n

– Integrating Knowledge Graphs into the deep learning architectures, providing concept-based explanations.<\/p>\n

– Combining Supervised deep learning with an unsupervised explainable model to provide prototype-based explanations.<\/p>\n

– Combining Symbolic AI approaches with deep learning to ensure rule-based explanations.<\/p>\n

These proposed advancements in explainable deep learning models aim to instill trust in model predictions, ensuring their beneficial use in the landscape of personalized medicine.<\/p>\n<\/div>\n<\/div>

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    \n
  • Date: Friday 23\/02\/2024, 2pm<\/li>\n
  • Place: IBISC site IBGBI, petit amphith\u00e9\u00e2tre, 23 boulevard de France, 91000 \u00c9VRY-COURCOURONNES<\/li>\n
  • IBISC member involved: Farida ZEHRAOUI (MCF Univ. \u00c9vry, IBISC AROB@S team)<\/li>\n<\/ul>\n<\/div>
    <\/div>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":12,"featured_media":1364,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[41,41,179,53,53,162,162,52,52,179],"tags":[],"class_list":{"0":"post-10751","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-in-the-headlines","9":"category-announcement-of-hdr-defense","10":"category-arobas-team","12":"category-events","14":"category-research"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/posts\/10751"}],"collection":[{"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/comments?post=10751"}],"version-history":[{"count":6,"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/posts\/10751\/revisions"}],"predecessor-version":[{"id":10757,"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/posts\/10751\/revisions\/10757"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/media\/1364"}],"wp:attachment":[{"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/media?parent=10751"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/categories?post=10751"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ibisc.univ-evry.fr\/en\/wp-json\/wp\/v2\/tags?post=10751"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}