{"id":2,"date":"2024-04-25T16:41:40","date_gmt":"2024-04-25T14:41:40","guid":{"rendered":"http:\/\/rabihamhaz.com\/?page_id=2"},"modified":"2026-03-11T12:28:00","modified_gmt":"2026-03-11T11:28:00","slug":"publications","status":"publish","type":"page","link":"https:\/\/rabihamhaz.com\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Explainable and Trustworthy AI (since 2019)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>[2025] Victor Hayot, Rabih Amhaz, Sylvain Lecler, Andre Alves Ferreira, Gregoire Chabrol, <strong>\u201c<strong>Machine learning for prediction of laser welds penetration on a multi-material dataset<\/strong>\u201d<\/strong>, <em>Int J Adv Manuf Technol<\/em>\u00a0<strong>140<\/strong>, 2895\u20132907, DOI: <a href=\"https:\/\/doi.org\/10.1007\/s00170-025-16437-3?urlappend=%3Futm_source%3Dresearchgate.net%26utm_medium%3Darticle\" target=\"_blank\" rel=\"noreferrer noopener\">10.1007\/s00170-025-16437-3<\/a><\/li>\n\n\n\n<li>[2024] Victor Hayot, Rabih Amhaz, Sylvain Lecler, Andre Alves Ferreira, Gregoire Chabrol, <strong>\u201cInterest of data augmentation in AI-prediction of metal laser welding penetration\u201d<\/strong> DOI: <a href=\"http:\/\/dx.doi.org\/10.21203\/rs.3.rs-5204448\/v1\">10.21203\/rs.3.rs-5204448\/v1<\/a>&nbsp;<\/li>\n\n\n\n<li>[2024] Rabih Amhaz, C\u00e9dric Bobenrieth, Marlene Marz <strong>\u201cImpact of Decentralized Autonomous Organizations (DAO) on society 5.0\u201d, <\/strong>NET2024, Dubai, UAE DOI: <a href=\"https:\/\/doi.org\/10.5121\/csit.2024.140301\">10.5121\/csit.2024140301<\/a>&nbsp;<\/li>\n\n\n\n<li>[2023] Amani Abou Rida, Rabih Amhaz, Pierre Parrend, \u201c<strong>Metrics for Evaluating Interface Explainability Models for Cyberattack Detection in IoT Data\u201d<\/strong>, CCE23, DOI: <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-44355-8_13\">10.1007\/978-3-031-44355-8_13<\/a><\/li>\n\n\n\n<li>[2023] Rauf Fatali, Samer Elzant, Rabih Amhaz, \u201c<strong>A Comparative Study of YOLO V4 and V5 Architectures on Pavement Cracks Using Region-Based Detection<\/strong>\u201d, CCE23, DOI: <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-44355-8_4\">10.1007\/978-3-031-44355-8_4<\/a>&nbsp;<\/li>\n\n\n\n<li>[2023] Amani Abou Rida, Rabih Amhaz, Pierre Parrend, \u201c<strong>A Benchmark for Explainability of Machine Learning for Cyberattacks Detection\u201d<\/strong>, RESSI Rendez-vous de la recherche et de l\u2019enseignement de la s\u00e9curit\u00e9 des Syst\u00e8mes d\u2019Information, GDR S\u00e9curit\u00e9 Informatique 2023.&nbsp;<\/li>\n\n\n\n<li>[2022] Amani Abou Rida, Rabih Amhaz, Pierre Parrend, \u201c<strong>Anomaly Detection on Static and Dynamic Graphs using Graph Convolutional Neural Networks\u201d<\/strong>, Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, Chapter. -, page 23, Springer, Studies in Computational Intelligence Series, 2022. DOI:<a href=\"https:\/\/doi.org\/10.1007\/978-3-030-96737-6_12\">10.1007\/978-3-030-96737-6_12<\/a>&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>[2022] Amani Abou Rida, Rabih Amhaz, Pierre Parrend, \u201c<strong>Evaluation of Anomaly Detection for Cybersecurity Using Inductive Node Embedding with Convolutional Graph Neural Networks\u201d<\/strong>, Complex Network 2021, Madrid, Spain, January 2022. DOI:<a href=\"https:\/\/doi.org\/10.1007\/978-3-030-93413-2_47\">10.1007\/978-3-030-93413-2_47<\/a> Impact Factor (IF 1.492)<\/li>\n\n\n\n<li>[2020] Ulviya Abdulkarimova, Igor Santos Peretta, Anna Leonteva, Younes Monjid, Rabih Amhaz, Marc Haegelin, Pierre Collet, Christian Rolando, <strong>A GA for non-uniform sampling harmonic analysis<\/strong>, GECCO &rsquo;20: Genetic and Evolutionary Computation Conference, July 2020. DOI:<a href=\"https:\/\/doi.org\/10.1145\/3377929.3390008\">10.1145\/3377929.3390008<\/a> ACM Association for computing machinery (Classement FNEGE 3)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Before 2016:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>[2016] Longchao Yang, Vincent Baltazart, Rabih Amhaz, Peilin Jiang, Automatic <strong>A new A-star algorithm adapted to the semi-automatic detection of cracks within grey level pavement images<\/strong>, Eighth International Conference on Digital Image Processing, August 2016. DOI:<a href=\"https:\/\/doi.org\/10.1117\/12.2243982\">10.1117\/12.2243982<\/a>&nbsp;<\/li>\n\n\n\n<li>[2016] Vincent Baltazart, J.-M. Moliard, Rabih Amhaz, M. Jethwa, Automatic Crack <strong>Detection on Pavement Images for Monitoring Road Surface Conditions\u2014Some Results from the Collaborative FP7 TRIMM Project<\/strong>, RILEM Bookseries, January 2016. DOI : <a href=\"https:\/\/doi.org\/10.1007\/978-94-024-0867-6_100\">10.1007\/978-94-024-0867-6_100<\/a>&nbsp;<\/li>\n\n\n\n<li>[2015] Rabih Amhaz, Sylvie Chambon, J\u00e9r\u00f4me Idier, Vincent Baltazart, <strong>A new minimal path selection algorithm for automatic crack detection on pavement images<\/strong>, January 2015. <strong>DOI: <\/strong><a href=\"https:\/\/doi.org\/10.1109\/ICIP.2014.7025158\">10.1109\/ICIP.2014.7025158<\/a> Conference Rank B, Journal Impact Factor 20.97<\/li>\n\n\n\n<li>[2015] Rabih Amhaz, Sylvie Chambon, J\u00e9r\u00f4me Idier, Vincent Baltazart, <strong>Automatic crack detection on 2D pavement images : An algorithm based on minimal path selection<\/strong>, IEEE Transactions on Intelligent Transportation Systems, Paris, January 2015. DOI:<a href=\"https:\/\/doi.org\/10.1109\/TITS.2015.2477675\">10.1109\/TITS.2015.2477675<\/a> Journal Impact Factor 9.5<\/li>\n\n\n\n<li>[2013] Rabih Amhaz, Sylvie Chambon, J\u00e9r\u00f4me Idier, Vincent Baltazart, <strong>Une m\u00e9thode de relev\u00e9 automatique de fissures de chauss\u00e9e fond\u00e9e sur la recherche de chemins minimaux<\/strong>, november 2013. HAL : <a href=\"https:\/\/hal.science\/hal-01202525\">https:\/\/hal.science\/hal-01202525<\/a>&nbsp;<\/li>\n\n\n\n<li>[2013] Rabih Amhaz, Sylvie Chambon, J\u00e9r\u00f4me Idier, Vincent Baltazart, <strong>Automatic Road Crack Detection by Selection of Minimal Paths<\/strong>, september 2013. HAL : <a href=\"https:\/\/hal.science\/hal-01197285\">https:\/\/hal.science\/hal-01197285<\/a>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Explainable and Trustworthy AI (since 2019) Before 2016:<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","site-transparent-header":"default","prose-style":"enable","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/rabihamhaz.com\/index.php\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rabihamhaz.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/rabihamhaz.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/rabihamhaz.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rabihamhaz.com\/index.php\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":8,"href":"https:\/\/rabihamhaz.com\/index.php\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":406,"href":"https:\/\/rabihamhaz.com\/index.php\/wp-json\/wp\/v2\/pages\/2\/revisions\/406"}],"wp:attachment":[{"href":"https:\/\/rabihamhaz.com\/index.php\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}