{"id":110,"date":"2020-07-16T18:12:15","date_gmt":"2020-07-16T16:12:15","guid":{"rendered":"https:\/\/project.inria.fr\/aaltd20\/?page_id=110"},"modified":"2020-10-02T09:48:05","modified_gmt":"2020-10-02T07:48:05","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/aaltd20\/accepted-papers\/","title":{"rendered":"Accepted papers"},"content":{"rendered":"<p>You can find on this page the article accepted for AALTD 2020 (acceptance rate: 32% for oral presentation, 64% for poster presentation).<br \/>\nAll articles can be downloaded following the PDF link.<\/p>\n<h2>Oral Presentation<\/h2>\n<ul>\n<li>Anthony Bagnall, Michael Flynn, James Large, Jason Lines and Matthew Middlehurst. On the Usage and Performance of The Hierarchical Vote Collective of Transformation-based Ensembles version 1.0 (HIVE-COTE v1.0) <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Bagnall.pdf\">PDF<\/a><\/li>\n<li>David Guijo-Rubio, Pedro Antonio Guti\u00e9rrez, Anthony Bagnall and C\u00e9sar Herv\u00e1s-Mart\u00ednez. Ordinal versus nominal time series classification <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Guijo-Rubio.pdf\">PDF<\/a><\/li>\n<li>Mozhdeh Ariannezhad, Sebastian Schelter and Maarten de Rijke. Demand Forecasting in the Presence of Privileged Information <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Ariannezhad.pdf\">PDF<\/a><\/li>\n<li>Emmanuelle Claeys, Pierre Gancarski, Myriam Maumy and Hubert Wassner. Evolving data as a context to improve A\/B-Tests <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Claeys.pdf\">PDF<\/a><\/li>\n<li>Edouard Pineau, S\u00e9bastien Razakarivony and Thomas Bonald. Multivariate time series unsupervised representation on a causality graph <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Pineau.pdf\">PDF<\/a><\/li>\n<li>Yichang Wang, R\u00e9mi Emonet, Elisa Fromont, Simon Malinowski and Romain Tavenard. Adversarial Regularization for Explainable-by-Design Time Series Classification <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Wang.pdf\">PDF<\/a><\/li>\n<li>Carlos Salort Sanchez, Alexander Wieder, Paolo Sottovia, Stefano Bortoli, Jan Baumbach and Cristian Axenie. GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Sanchez.pdf\">PDF<\/a><\/li>\n<li>Thu Trang Nguyen, Thach Le Nguyen and Georgiana Ifrim. A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_NGuyen.pdf\">PDF<\/a><\/li>\n<li>Yann Dauxais and Thomas Guyet. Generalized chronicles for temporal sequence classification <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Dauxais.pdf\">PDF<\/a><\/li>\n<\/ul>\n<h2>Poster Presentation<\/h2>\n<ul>\n<li>Marcos L. P. Bueno, Arjen Hommersom and Peter Lucas. Temporal Exceptional Model Mining using Dynamic Bayesian Networks <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Bueno.pdf\">PDF<\/a><\/li>\n<li>Mathieu Delsaut, Patrick Jeanty, B\u00e9atrice Morel and Dominique Gay. &#8220;J&#8217;veux du soleil&#8221;: Towards a decade of solar irradiation data (La R\u00e9union Island, SW Indian Ocean) <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Delsaut.pdf\">PDF<\/a><\/li>\n<li>Michiel Dhont, Elena Tsiporkova, Tom Tourw\u00e9 and Nicol\u00e1s Gonz\u00e1lez-Deleito. Visual Analytics for Extracting Trends from Spatio-Temporal Data <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_DhontVisual.pdf\">PDF<\/a><\/li>\n<li>Michiel Dhont, Elena Tsiporkova and Veselka Boeva. Layered Integration Approach for Multi-view Analysis of Temporal Data <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_DhontLayered.pdf\">PDF<\/a><\/li>\n<li>Bahavathy Kathirgamanathan and Padraig Cunningham. A Feature Selection Method for Multi-Dimension Time-Series Data <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Kathirgamanathan.pdf\">PDF<\/a><\/li>\n<li>Luuk van de Wiel, Daan van Es and Ad Feelders. Real-Time Outlier Detection in Time Series Data of Water Sensors <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_VanDeWiel.pdf\">PDF<\/a><\/li>\n<li>Vivien Sainte Fare Garnot and Loic Landrieu. Lightweight Temporal Self-Attention for Classifying Satellite Images Time Series <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_SainteFareGarnot.pdf\">PDF<\/a><\/li>\n<li>James Fitzpatrick, Paula Carroll and Deepak Ajwani. Creating and Characterising Electricity Load Profiles of Residential Buildings <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/10\/AALTD_20_paper_Fitzpatrick.pdf\">PDF<\/a><\/li>\n<li>Tao Peng, Sana Sellami and Omar Boucelma. Trust Assessment on Streaming Data: a Real Time Predictive Approach <a href=\"https:\/\/project.inria.fr\/aaltd20\/files\/2020\/08\/AALTD_20_paper_Peng.pdf\">PDF<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>You can find on this page the article accepted for AALTD 2020 (acceptance rate: 32% for oral presentation, 64% for poster presentation). All articles can be downloaded following the PDF link. Oral Presentation Anthony Bagnall, Michael Flynn, James Large, Jason Lines and Matthew Middlehurst. On the Usage and Performance of\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/aaltd20\/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-110","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/aaltd20\/wp-json\/wp\/v2\/pages\/110","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/aaltd20\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/aaltd20\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aaltd20\/wp-json\/wp\/v2\/users\/733"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aaltd20\/wp-json\/wp\/v2\/comments?post=110"}],"version-history":[{"count":6,"href":"https:\/\/project.inria.fr\/aaltd20\/wp-json\/wp\/v2\/pages\/110\/revisions"}],"predecessor-version":[{"id":162,"href":"https:\/\/project.inria.fr\/aaltd20\/wp-json\/wp\/v2\/pages\/110\/revisions\/162"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/aaltd20\/wp-json\/wp\/v2\/media?parent=110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}