{"id":79,"date":"2021-04-22T10:13:02","date_gmt":"2021-04-22T08:13:02","guid":{"rendered":"https:\/\/project.inria.fr\/aaltd21\/?page_id=79"},"modified":"2021-09-09T17:39:20","modified_gmt":"2021-09-09T15:39:20","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/aaltd21\/accepted-papers\/","title":{"rendered":"Accepted papers"},"content":{"rendered":"<h3>Accept as oral presentation<\/h3>\n<ul>\n<li>Surabhi Agarwal, Trang Thu Nguyen, Thach Le Nguyen and Georgiana Ifrim. Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_13.pdf\">PDF<\/a><\/li>\n<li>Alessio Benavoli and Giorgio Corani. State Space approximation of Gaussian Processes for time-series forecasting <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_14.pdf\">PDF<\/a><\/li>\n<li>Bhaskar Dhariyal, Thach Le Nguyen and Georgiana Ifrim. Fast Channel Selection for Scalable Multivariate Time Series Classification <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_15.pdf\">PDF<\/a><\/li>\n<li>Mathieu Chambard, Thomas Guyet, Y\u00ean-Lan Nguyen and Etienne Audureau\tTemporal phenotyping for characterisation of hospital care pathways of COVID patients <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_9.pdf\">PDF<\/a><\/li>\n<li>Etienne Goffinet, Mustapha Lebbah, Hanane Azzag, Lo\u00efc Giraldi and Anthony Coutant. A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_17.pdf\">PDF<\/a><\/li>\n<li>Cristian Axenie, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Rongye Shi, Stefano Bortoli and G\u00f6tz Brasche. TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_18.pdf\">PDF<\/a><\/li>\n<li>Laurens Stoop, Erik Duijm, Ad Feelders and Machteld van den Broek. Detection of critical events in renewable energy production time series <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_21.pdf\">PDF<\/a><\/li>\n<\/ul>\n<h3>Accept as poster<\/h3>\n<ul>\n<li>Sebastian Pineda Arango, Felix Heinrich, Kiran Madhusudhanan and Lars Schmidt-Thieme. Multimodal Meta-Learning for Time Series Regression <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_3.pdf\">PDF<\/a><\/li>\n<li>Tom van de Looij and Mozhdeh Ariannezhad. Cluster-based Forecasting for Intermittent and Non-intermittent Time Series <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_6.pdf\">PDF<\/a><\/li>\n<li>Olli-Pekka Rinta-Koski, Miki Sirola, Le Ngu Nguyen and Jaakko Hollm\u00e9n. State discovery and prediction from multivariate sensor data <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_7.pdf\">PDF<\/a><\/li>\n<li>Abdul Hameed Azeemi, Muhammad Hamza Sohail, Talha Zubair, Muaz Maqbool, Irfan Younas and Omair Shafiq. RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_8.pdf\">PDF<\/a><\/li>\n<li>Julien Audibert, S\u00e9bastien Marti, Fr\u00e9d\u00e9ric Guyard and Maria A. Zuluaga. From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information <a href=\"https:\/\/project.inria.fr\/aaltd21\/files\/2021\/09\/AALTD_21_paper_22.pdf\">PDF<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Accept as oral presentation Surabhi Agarwal, Trang Thu Nguyen, Thach Le Nguyen and Georgiana Ifrim. Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification PDF Alessio Benavoli and Giorgio Corani. State Space approximation of Gaussian Processes for time-series forecasting PDF Bhaskar Dhariyal, Thach Le Nguyen\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/aaltd21\/accepted-papers\/\"><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-79","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/aaltd21\/wp-json\/wp\/v2\/pages\/79","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/aaltd21\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/aaltd21\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aaltd21\/wp-json\/wp\/v2\/users\/733"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aaltd21\/wp-json\/wp\/v2\/comments?post=79"}],"version-history":[{"count":5,"href":"https:\/\/project.inria.fr\/aaltd21\/wp-json\/wp\/v2\/pages\/79\/revisions"}],"predecessor-version":[{"id":140,"href":"https:\/\/project.inria.fr\/aaltd21\/wp-json\/wp\/v2\/pages\/79\/revisions\/140"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/aaltd21\/wp-json\/wp\/v2\/media?parent=79"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}