{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:31:12Z","timestamp":1730298672180,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,5]]},"DOI":"10.1109\/ssci50451.2021.9659892","type":"proceedings-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T21:09:51Z","timestamp":1643058591000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Piecewise Simplification Approach for Accurate and Understandable Model"],"prefix":"10.1109","author":[{"given":"Hiroyuki","family":"Namba","sequence":"first","affiliation":[]},{"given":"Masashi","family":"Egi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"The Journal of Machine Learning Research"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2009.05.016"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0008-8846(98)00165-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2015.09.031"},{"key":"ref11","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"lundberg","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.32614\/RJ-2011-015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939874"},{"key":"ref14","first-page":"1","article-title":"Learning certifiably optimal rule lists for categorical data","volume":"18","author":"angelino","year":"2018","journal-title":"Journal of Machine Learning Research"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.08.034"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1985.6313399"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-015-5528-6"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1111\/rssa.12227"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/11-AOAS495"},{"key":"ref28","first-page":"3146","article-title":"Lightgbm: A highly efficient gradient boosting decision tree","volume":"30","author":"ke","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"journal-title":"UCI Machine Learning Repository","year":"2007","author":"asuncion","key":"ref27"},{"key":"ref3","first-page":"161","article-title":"Fairwashing: The risk of rationalization","author":"a\u00efvodji","year":"0","journal-title":"Int Conference on Machine Learning"},{"key":"ref6","first-page":"2357","article-title":"A bayesian framework for learning rule sets for interpretable classification","volume":"18","author":"wang","year":"2017","journal-title":"The Journal of Machine Learning Research"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/0095-0696(78)90006-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2016.07.016"},{"key":"ref8","article-title":"Model-Agnostic Interpretable and Data-driven suRRogates suited for highly regulated industries","author":"henckaerts","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref7","first-page":"77","article-title":"Making tree ensembles interpretable: A bayesian model selection approach","author":"hara","year":"0","journal-title":"Int Conf on Artificial Intelligence and Statistics"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3236009"},{"key":"ref9","first-page":"2444","article-title":"Interpretable companions for black-box models","author":"pan","year":"0","journal-title":"Int Conf on Artificial Intelligence and Statistics"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref20","first-page":"1952","article-title":"The bayesian case model: A generative approach for case-based reasoning and prototype classification","author":"kim","year":"2014","journal-title":"In Advances in Neural Information Processing Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-018-0144-8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2018.09.007"},{"key":"ref24","first-page":"24","article-title":"Extracting tree-structured representations of trained networks","volume":"8","author":"craven","year":"1995","journal-title":"Advances in neural information processing systems"},{"key":"ref23","first-page":"2457","article-title":"Trepan reloaded: A knowledge-driven approach to Explaining Artificial Neural Networks","author":"confalonieri","year":"0","journal-title":"Proc of The 24th European Conference on Artificial Intelligence"},{"key":"ref26","article-title":"Anchors: High-precision model-agnostic explanations","author":"ribeiro","year":"0","journal-title":"Proc of the AAAI Conference on Artificial Intelligence"},{"key":"ref25","article-title":"Local rule-based explanations of black-box decision systems","author":"guidotti","year":"2018","journal-title":"ArXiv Preprint"}],"event":{"name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2021,12,5]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,7]]}},"container-title":["2021 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9659537\/9659538\/09659892.pdf?arnumber=9659892","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:45Z","timestamp":1652201805000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9659892\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,5]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ssci50451.2021.9659892","relation":{},"subject":[],"published":{"date-parts":[[2021,12,5]]}}}