{"id":119,"date":"2020-11-19T15:45:07","date_gmt":"2020-11-19T15:45:07","guid":{"rendered":"http:\/\/dataninja.nrw\/?page_id=119"},"modified":"2025-01-14T07:27:45","modified_gmt":"2025-01-14T07:27:45","slug":"projects","status":"publish","type":"page","link":"https:\/\/dataninja.nrw\/?page_id=119","title":{"rendered":"Dataninja Projects"},"content":{"rendered":"\n<p>Discover the projects that are currently being carried out by the Dataninja research training group. Bringing together eight research institutions across NRW, each project is a collaborative effort of two PhD students that work in tandem. For further information on each of the projects, please check out the individual project pages:<\/p>\n\n\n\n<figure class=\"wp-block-embed-wordpress wp-block-embed is-type-wp-embed is-provider-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"WdLq5AaVkr\"><a href=\"https:\/\/dataninja.nrw\/?page_id=337\">EKAmBa: Realtime Configuration of Algorithms with Multi-armed Bandits<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;EKAmBa: Realtime Configuration of Algorithms with Multi-armed Bandits&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=337&#038;embed=true#?secret=OwymsZb8Sg#?secret=WdLq5AaVkr\" data-secret=\"WdLq5AaVkr\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed-wordpress wp-block-embed is-type-wp-embed is-provider-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"pHte7atdbg\"><a href=\"https:\/\/dataninja.nrw\/?page_id=331\">GAIA: Gaussian Processes for Automatic and Interpretable Anomaly-detection<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;GAIA: Gaussian Processes for Automatic and Interpretable Anomaly-detection&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=331&#038;embed=true#?secret=SmYAt5qfHa#?secret=pHte7atdbg\" data-secret=\"pHte7atdbg\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed-wordpress wp-block-embed is-type-wp-embed is-provider-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"1TJWOumETV\"><a href=\"https:\/\/dataninja.nrw\/?page_id=326\">ML4ProM: Machine Learning and Drift Detection Methods for Predictive Prevention Technologies in Process Mining<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;ML4ProM: Machine Learning and Drift Detection Methods for Predictive Prevention Technologies in Process Mining&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=326&#038;embed=true#?secret=Z7zHMvClrl#?secret=1TJWOumETV\" data-secret=\"1TJWOumETV\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed-wordpress wp-block-embed is-type-wp-embed is-provider-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"4bK2lBm1kL\"><a href=\"https:\/\/dataninja.nrw\/?page_id=323\">NireHApS: Neuro-inspired and resource-efficient Hardware-Architectures for plastic SNNs<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;NireHApS: Neuro-inspired and resource-efficient Hardware-Architectures for plastic SNNs&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=323&#038;embed=true#?secret=ctrDytu5iQ#?secret=4bK2lBm1kL\" data-secret=\"4bK2lBm1kL\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed-wordpress wp-block-embed is-type-wp-embed is-provider-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"hIPAN1AZTR\"><a href=\"https:\/\/dataninja.nrw\/?page_id=313\">(RL)\u00b3 Representation, Reinforcement and Rule Learning \u2013 Transparent decision-making through explainable AI models<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;(RL)\u00b3 Representation, Reinforcement and Rule Learning \u2013 Transparent decision-making through explainable AI models&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=313&#038;embed=true#?secret=nbjhpqxR3v#?secret=hIPAN1AZTR\" data-secret=\"hIPAN1AZTR\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed-wordpress wp-block-embed is-type-wp-embed is-provider-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"7KqCDSfmIw\"><a href=\"https:\/\/dataninja.nrw\/?page_id=189\">RoSe: Robust Individualization of Smart Sensor Technology through Transfer Learning Based Feature Selection<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;RoSe: Robust Individualization of Smart Sensor Technology through Transfer Learning Based Feature Selection&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=189&#038;embed=true#?secret=5EgeNGCmsw#?secret=7KqCDSfmIw\" data-secret=\"7KqCDSfmIw\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed-wordpress wp-block-embed is-type-wp-embed is-provider-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"fIweulHIx1\"><a href=\"https:\/\/dataninja.nrw\/?page_id=121\">X-FI: Explainable Feature Importance<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;X-FI: Explainable Feature Importance&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=121&#038;embed=true#?secret=V67hajb2GC#?secret=fIweulHIx1\" data-secret=\"fIweulHIx1\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Associated Projects<\/h2>\n\n\n\n<p>Beyond the tandem projects, we support diverse and innovative ideas from talented graduate students. We are always happy to welcome PhD students working in the realm of trustworthy AI as new members in our network. The following projects are currently associated with our group:<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-dataninja wp-block-embed-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"qmfG3TkQPP\"><a href=\"https:\/\/dataninja.nrw\/?page_id=1410\">Dory:\u00a0Data-Centric AI for\u00a0Data Quality\u00a0Assessment<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;Dory:\u00a0Data-Centric AI for\u00a0Data Quality\u00a0Assessment&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=1410&#038;embed=true#?secret=ODa27XLyRr#?secret=qmfG3TkQPP\" data-secret=\"qmfG3TkQPP\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-dataninja wp-block-embed-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"YUvxuQiRdk\"><a href=\"https:\/\/dataninja.nrw\/?page_id=1726\">ForMAD: Formal Methods for Anomaly Detectors<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;ForMAD: Formal Methods for Anomaly Detectors&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=1726&#038;embed=true#?secret=emwvGgEC25#?secret=YUvxuQiRdk\" data-secret=\"YUvxuQiRdk\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-dataninja wp-block-embed-dataninja\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"9QCN8WyJHq\"><a href=\"https:\/\/dataninja.nrw\/?page_id=1423\">GAL4STeP:\u00a0Applications of Generative Adversarial Learning for Scientific Technical Relevant Problems<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;GAL4STeP:\u00a0Applications of Generative Adversarial Learning for Scientific Technical Relevant Problems&#8221; &#8212; dataninja\" src=\"https:\/\/dataninja.nrw\/?page_id=1423&#038;embed=true#?secret=pxegrIgw6Y#?secret=9QCN8WyJHq\" data-secret=\"9QCN8WyJHq\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Discover the projects that are currently being carried out by the Dataninja research training group. Bringing together eight research institutions [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1708,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ub_ctt_via":"","footnotes":""},"featured_image_src":"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/12\/2023_new_banner_projects.png","_links":{"self":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages\/119"}],"collection":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=119"}],"version-history":[{"count":17,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages\/119\/revisions"}],"predecessor-version":[{"id":2593,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages\/119\/revisions\/2593"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/media\/1708"}],"wp:attachment":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}