{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T15:59:43Z","timestamp":1784390383383,"version":"3.55.0"},"reference-count":44,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011459","name":"Higher Education Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011459","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671501","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"5239-5245","source":"Crossref","is-referenced-by-count":14,"title":["Evaluating Attribution Methods in Machine Learning Interpretability"],"prefix":"10.1109","author":[{"given":"Qudrat E","family":"Alahy Ratul","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edoardo","family":"Serra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfredo","family":"Cuzzocrea","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.42"},{"key":"ref38","first-page":"3145","article-title":"Learning important features through propagating activation differences","author":"shrikumar","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3450315"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-019-0607-5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2018.8508497"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3374664.3375744"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020496"},{"key":"ref36","article-title":"A unified approach to interpreting model predictions","author":"lundberg","year":"2017"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006356"},{"key":"ref10","article-title":"French national strategy for artificial intelligence","author":"villani","year":"2019"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref11","article-title":"Portuguese national initiative on digital skills. ai portugal 2030. 2019","year":"2019"},{"key":"ref12","article-title":"Machine learning: The power and promise of computers that learn by example","year":"2019"},{"key":"ref13","year":"2019","journal-title":"European commission algorithmic awareness-building 2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref15","first-page":"17","article-title":"Developing transparent credit risk scorecards more effectively: An explainable artificial intelligence approach","volume":"2018","author":"fahner","year":"2018","journal-title":"Data Anal"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11491","article-title":"Anchors: High-precision model-agnostic explanations","volume":"32","author":"ribeiro","year":"2018","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: A gradient boosting machine","volume":"29","author":"friedman","year":"2001","journal-title":"Ann Statist"},{"key":"ref18","article-title":"Peeking inside the black box: Visualizing statistical learning with plots of individual conditional expectation","author":"goldstein","year":"2014"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/07-AOAS148"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2019.8858791"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.11.008"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94301-5_9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2514\/6.2010-8040"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098043"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2018.8508357"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3359786"},{"key":"ref8","article-title":"Explainable artificial intelligence (xai)","volume":"2","author":"gunning","year":"2017","journal-title":"Defense Advanced Research Projects Agency (DARPA)"},{"key":"ref7","article-title":"Please stop explaining black box models for high stakes decisions","volume":"1","author":"rudin","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8080832"},{"key":"ref9","article-title":"Preparing for the future of artificial intelligence","author":"press","year":"2016"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref20","first-page":"57","article-title":"Supporting roll-up and drill-down operations over olap data cubes with continuous dimensions via density-based hierarchical clustering","author":"ceci","year":"2011","journal-title":"SEBD Citeseer"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.08.141"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9377854"},{"key":"ref42","article-title":"Consistent feature attribution for tree ensembles","author":"lundberg","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00242"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1002\/asmb.446"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.123"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ISRCS.2014.6900095"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15105-7_8"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MilCIS.2015.7348942"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2014.2307454"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","location":"Orlando, FL, USA","start":{"date-parts":[[2021,12,15]]},"end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671501.pdf?arnumber=9671501","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T22:05:54Z","timestamp":1674425154000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671501\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671501","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}