{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:32:48Z","timestamp":1774369968610,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Data Visualization Group"},{"name":"AI Labs at Uber Technologies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1109\/tvcg.2018.2864499","type":"journal-article","created":{"date-parts":[[2018,8,20]],"date-time":"2018-08-20T22:17:45Z","timestamp":1534803465000},"page":"364-373","source":"Crossref","is-referenced-by-count":157,"title":["Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models"],"prefix":"10.1109","volume":"25","author":[{"given":"Jiawei","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Piero","family":"Molino","sequence":"additional","affiliation":[]},{"given":"Lezhi","family":"Li","sequence":"additional","affiliation":[]},{"given":"David S.","family":"Ebert","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598829"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1518701.1518895"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598828"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598838"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref30","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744158"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/2945.981851"},{"key":"ref35","author":"schneider","year":"2017","journal-title":"Visual integration of data and model space in ensemble learning"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2013.120"},{"key":"ref40","article-title":"Deck.gl: Large-scale web-based visual analytics made easy","author":"wang","year":"2017","journal-title":"IEEE Visualization Workshop on Visualization in Practice (VIP)"},{"key":"ref11","year":"0","journal-title":"Kaggle Spooky Author Identification"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744718"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753529"},{"key":"ref14","author":"krause","year":"2017","journal-title":"A workflow for visual diagnostics of binary classifiers using instance-level explanations"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858529"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2678025.2701399"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/VLHCC.2010.15"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2009.111"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v35i4.2513"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346578"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346660"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/VAST.2015.7347637"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2331979"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702509"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346594"},{"key":"ref7","article-title":"Debugging machine learning","author":"cadamuro","year":"2016","journal-title":"ACM CHI Workshop on Human Centered Machine Learning"},{"key":"ref2","author":"abadi","year":"2016","journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.212"},{"key":"ref1","year":"0","journal-title":"Luma gl High-performance webgl2 components for gpu-powered data visualization and computation"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744938"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744378"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.visinf.2017.01.006"},{"key":"ref42","author":"yosinski","year":"2015","journal-title":"Understanding neural networks through deep visualization"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.65"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744878"},{"key":"ref23","author":"manning","year":"1999","journal-title":"Foundations of Statistical Natural Language Processing"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.125"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12389"},{"key":"ref25","author":"ming","year":"2017","journal-title":"Understanding hidden memories of recurrent neural networks"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/8547224\/08440091.pdf?arnumber=8440091","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:08:17Z","timestamp":1657746497000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8440091\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":43,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2018.2864499","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1]]}}}