{"id":68,"date":"2018-12-12T08:24:24","date_gmt":"2018-12-12T07:24:24","guid":{"rendered":"https:\/\/project.inria.fr\/tsdays\/?page_id=68"},"modified":"2019-04-11T08:33:04","modified_gmt":"2019-04-11T06:33:04","slug":"68-2","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/tsdays\/68-2\/","title":{"rendered":"Programme"},"content":{"rendered":"<p><strong>T\u00e9l\u00e9charger le programme \u00ab\u00a0at a glance\u00a0\u00bb: <a href=\"https:\/\/project.inria.fr\/tsdays\/files\/2019\/03\/Programme.pdf\">Programme<\/a>.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Vous trouverez ci-dessous le programme des journ\u00e9es du 25 et 26 mars 2019. Les liens sur les titres des pr\u00e9sentations vous permettent de t\u00e9l\u00e9charger les pr\u00e9sentations.&nbsp;<\/p>\n<h3>Lundi 25 Mars 2019<\/h3>\n<p>14h Introduction<\/p>\n<p>14h30 <a href=\"https:\/\/project.inria.fr\/tsdays\/invites#palpanas\">Themis Palpanas<\/a>,\u00a0<a href=\"https:\/\/project.inria.fr\/tsdays\/files\/2019\/03\/Palpanas-isax2plus-ADS-9-todistr.pdf\">From Data Series Indexing to Big Data Series Analytics<\/a><\/p>\n<p>15h20 <a href=\"https:\/\/project.inria.fr\/tsdays\/invites#gianofci\">Joyce-Madison Giacofci<\/a>, <a href=\"https:\/\/project.inria.fr\/tsdays\/files\/2019\/03\/SeriesTempGiacofci.pdf\">Functional data analysis : modelling curves variations<\/a><\/p>\n<p>16h10 Pause<\/p>\n<p>16h40 <a href=\"https:\/\/project.inria.fr\/tsdays\/invites#bifet\">Albert Bifet<\/a>, <a href=\"http:\/\/people.irisa.fr\/Thomas.Guyet\/documents\/MLforDSRennes.pdf\">Machine learning for Data Streams<\/a><\/p>\n<h3>Mardi 26 Mars 2019<\/h3>\n<p>9h40 <a href=\"https:\/\/project.inria.fr\/tsdays\/invites#marteau\">Pierre-Fran\u00e7ois Marteau<\/a>, <a href=\"https:\/\/project.inria.fr\/tsdays\/files\/2019\/03\/TimeElasticKAveragingv2-2x2.pdf\">Kernelized time elastic averaging of time series<\/a><\/p>\n<p>10h30 Pause<\/p>\n<p>10h50 <a href=\"https:\/\/project.inria.fr\/tsdays\/invites#lozano\">Jos\u00e9 Lozano<\/a>, <a href=\"https:\/\/project.inria.fr\/tsdays\/files\/2019\/03\/TimeSeries_Lozano.pdf\">Time series data mining challenges<\/a><\/p>\n<p>11h40 Minute madness (<a href=\"https:\/\/project.inria.fr\/tsdays\/files\/2019\/03\/MadnessOnLine.pdf\">pr\u00e9sentation posters<\/a>)<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization, Wang Yichang, Irisa\/Inria<\/li>\n<li>Detection of false data injection in transport systems using Machine Learning, Chevrot Antoine, FEMTO-ST \/ DISC<\/li>\n<li>Clustering de courbes de charge du r\u00e9seau de distribution de l\u2019\u00e9lectricit\u00e9 de SRD en vue de la minimisation des pertes,, Tribak Mohamed, SRD Energies &amp; LIAS Laboratory<\/li>\n<li>Robust Detection and Estimation of Change-Points in a Time Series of Multivariate Images, Mian Ammar, CentraleSup\u00e9lec SONDRA<\/li>\n<li>Cyclone artificial intelligence prints investigation, Hochard Guillaume, QUANTMETRY<\/li>\n<li>Utilisation de donn\u00e9es de logs dans les probl\u00e8mes de Bandits Contextuels, Claeys Emmanuelle, IRMA\/ICUBE<\/li>\n<li>Warp 10: The Most Advanced Time Series Platform, Vialatte Jean-Charles, SenX<\/li>\n<li>Comparaison de Mod\u00e8les d&rsquo;apprentissage Profond pour la pr\u00e9diction de s\u00e9ries temporelles: application \u00e0 l\u2019effacement \u00e9lectrique dans les chambres froides, Mellouli N\u00e9dra, LIASD, Univiersit\u00e9 Paris8<\/li>\n<li>Classification of multivariate digital farm time-series, Tosic Tamara, Orange Labs<\/li>\n<li>Apprentissage par transfert pour la classification de s\u00e9ries temporelles, Hassan Ismail Fawaz, UHA<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>12h10 Session poster d\u00e9jeunatoire (sur place)<\/p>\n<p>14h00 <a href=\"https:\/\/project.inria.fr\/tsdays\/invites#lotte\">Fabien Lotte<\/a>, <a href=\"https:\/\/project.inria.fr\/tsdays\/files\/2019\/03\/TSDays_BCISigProc_pdf.pdf\">Traitement et classification de signaux Electroenc\u00e9phalographiques pour les interfaces cerveau-ordinateur<\/a><\/p>\n<p>14h50 <a href=\"https:\/\/project.inria.fr\/tsdays\/invites#tavenard\">Romain Tavenard<\/a>, <a href=\"https:\/\/project.inria.fr\/tsdays\/files\/2019\/03\/weakly_sup_ml_ts.pdf\">Weakly supervised Machine Learning for Time Series<\/a><\/p>\n<p>15h40 Conclusion<\/p>\n<p>16h00 Fin de la journ\u00e9e<\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00e9l\u00e9charger le programme \u00ab\u00a0at a glance\u00a0\u00bb: Programme. &nbsp; Vous trouverez ci-dessous le programme des journ\u00e9es du 25 et 26 mars 2019. Les liens sur les titres des pr\u00e9sentations vous permettent de t\u00e9l\u00e9charger les pr\u00e9sentations.&nbsp; Lundi 25 Mars 2019 14h Introduction 14h30 Themis Palpanas,\u00a0From Data Series Indexing to Big Data Series\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/tsdays\/68-2\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":733,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-68","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/tsdays\/wp-json\/wp\/v2\/pages\/68","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/tsdays\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/tsdays\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/tsdays\/wp-json\/wp\/v2\/users\/733"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/tsdays\/wp-json\/wp\/v2\/comments?post=68"}],"version-history":[{"count":18,"href":"https:\/\/project.inria.fr\/tsdays\/wp-json\/wp\/v2\/pages\/68\/revisions"}],"predecessor-version":[{"id":202,"href":"https:\/\/project.inria.fr\/tsdays\/wp-json\/wp\/v2\/pages\/68\/revisions\/202"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/tsdays\/wp-json\/wp\/v2\/media?parent=68"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}