{"id":111,"date":"2018-08-01T13:49:23","date_gmt":"2018-08-01T11:49:23","guid":{"rendered":"https:\/\/project.inria.fr\/aaldt18\/?page_id=111"},"modified":"2018-08-14T10:55:02","modified_gmt":"2018-08-14T08:55:02","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/aaldt18\/program\/","title":{"rendered":"Program"},"content":{"rendered":"<p>You can find here a preliminary program of the AALTD workshop (to be finalized &#8212; accepted articles can be found <a href=\"https:\/\/project.inria.fr\/aaldt18\/accepted-papers\/\">here<\/a>\u00a0and pdf files containing all <a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/oral.pdf\">oral<\/a> and <a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/posters.pdf\">poster<\/a> papers can be downloaded):<\/p>\n<ul>\n<li>Session 1 (9h &#8211; 10h40)\n<ul>\n<li>Workshop introduction (by your wonderful organizers)<\/li>\n<li><strong>Time Series Classification with Recurrent Neural Networks<\/strong>, Denis Smirnov and Engelbert Mephu Nguifo [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_rnn.pdf\">pdf<\/a>]<\/li>\n<li>\n<div class=\"\"><strong>Network Classification in Temporal Networks Using Motifs<\/strong>, Kun Tu, Jian Li, Don Towsley, Dave Braines and Liam Turner [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_network_classification.pdf\">pdf<\/a>]<strong class=\"\"><br \/>\n<\/strong><\/div>\n<\/li>\n<li>Presentation of the new &#8220;<strong>multivariate time-series archive<\/strong>&#8220;, T. Bagnall<\/li>\n<li>Spotlight presentations of posters (2&#8242; per poster)<\/li>\n<\/ul>\n<\/li>\n<li>Session 2 (11h &#8211; 12h40)\n<ul>\n<li>Invited Speaker &#8211; Germain Forestier &#8211; <a href=\"https:\/\/project.inria.fr\/aaldt18\/invited-speaker\/\"><b>Deep Learning for Time Series Classification &#8211; Applications to Surgical Data Science<\/b><\/a><\/li>\n<li><strong>CSBN: A Hybrid Approach For Survival Time Prediction With Missing Data<\/strong>, Simon Rabinowicz, Raphaela Butz, Arjen Hommersom and Matt Williams [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_csbn.pdf\">pdf<\/a>]<\/li>\n<li><strong>Day-ahead time series forecasting : application to capacity planning<\/strong>, Colin Leverger, Vincent Lemaire, Simon Malinowski, Thomas Guyet and Laurence Roz\u00e9 [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_capacity_planning.pdf\">pdf<\/a>]<\/li>\n<\/ul>\n<\/li>\n<li>Lunch time: <strong>First round of discussion around posters and demos<\/strong><\/li>\n<li>Session 3 (14h-15h40)\n<ul>\n<li><strong>Multivariate Time Series Classification with WEASEL+MUSE<\/strong>, Patrick Sch\u00e4fer and Ulf Leser [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_weaselmuse.pdf\">pdf<\/a>]<\/li>\n<li><strong>A shapelet transform for multivariate time series classification<\/strong>, Aaron Bostrom and Anthony Bagnall [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_multivariate_shapelets.pdf\">pdf<\/a>]<\/li>\n<li><strong>Data augmentation using synthetic data for time series classification, with deep residual networks<\/strong>, Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_data_aug.pdf\">pdf<\/a>]<\/li>\n<li><strong>Can automated smoothing significantly improve benchmark time series classification algorithms?<\/strong>, James Large, Paul Southam and Anthony Bagnall [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_automated_smoothing.pdf\">pdf<\/a>]<\/li>\n<\/ul>\n<\/li>\n<li>Session 4 (16h-17h40)\n<ul>\n<li><strong>An Ordered Chronicle Discovery Algorithm<\/strong>, Alexandre Sahuguede, Euriell Le Corronc and Marie-V\u00e9ronique Le Lann [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_ordered_chronicle_discovery.pdf\">pdf<\/a>]<\/li>\n<li><strong>Subjectively Interesting Motifs in Time Series<\/strong>, Junning Deng, Jefrey Lijffijt, Bo Kang and Tijl De Bie [<a href=\"https:\/\/project.inria.fr\/aaldt18\/files\/2018\/08\/aaltd18_subjectively_interesting_motifs.pdf\">pdf<\/a>]<\/li>\n<li>Second round of discussion around <strong>posters and demos<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>You can find here a preliminary program of the AALTD workshop (to be finalized &#8212; accepted articles can be found here\u00a0and pdf files containing all oral and poster papers can be downloaded): Session 1 (9h &#8211; 10h40) Workshop introduction (by your wonderful organizers) Time Series Classification with Recurrent Neural Networks,\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/aaldt18\/program\/\"><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-111","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/aaldt18\/wp-json\/wp\/v2\/pages\/111","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/aaldt18\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/aaldt18\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aaldt18\/wp-json\/wp\/v2\/users\/733"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aaldt18\/wp-json\/wp\/v2\/comments?post=111"}],"version-history":[{"count":8,"href":"https:\/\/project.inria.fr\/aaldt18\/wp-json\/wp\/v2\/pages\/111\/revisions"}],"predecessor-version":[{"id":142,"href":"https:\/\/project.inria.fr\/aaldt18\/wp-json\/wp\/v2\/pages\/111\/revisions\/142"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/aaldt18\/wp-json\/wp\/v2\/media?parent=111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}