{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T15:52:28Z","timestamp":1776441148014,"version":"3.51.2"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Next-GenerationEU"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tkde.2024.3420180","type":"journal-article","created":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T17:38:29Z","timestamp":1720028309000},"page":"8108-8119","source":"Crossref","is-referenced-by-count":5,"title":["Efficient Neural Network-Based Estimation of Interval Shapley Values"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9077-4103","authenticated-orcid":false,"given":"Davide","family":"Napolitano","sequence":"first","affiliation":[{"name":"Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3605-1577","authenticated-orcid":false,"given":"Lorenzo","family":"Vaiani","sequence":"additional","affiliation":[{"name":"Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7185-5247","authenticated-orcid":false,"given":"Luca","family":"Cagliero","sequence":"additional","affiliation":[{"name":"Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"UCI repository of machine learning databases","author":"Blake","year":"1998"},{"key":"ref2","volume-title":"Introduction to Data Mining","author":"Tan","year":"2019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110273"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-84060-0_19"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.7249\/rm0656"},{"key":"ref6","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lundberg"},{"key":"ref7","article-title":"Asymmetric shapley values: Incorporating causal knowledge into model-agnostic explainability","author":"Frye","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.13283"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2008.04.004"},{"key":"ref10","first-page":"17212","article-title":"Understanding global feature contributions with additive importance measures","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Covert"},{"key":"ref11","article-title":"Explainable AI for trees: From local explanations to global understanding","author":"Lundberg","year":"1905"},{"key":"ref12","first-page":"1","article-title":"FastSHAP: Real-time Shapley value estimation","volume-title":"Proc. 10th Int. Conf. Learn. Representations","author":"Jethani"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-009-0096-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11238-007-9091-x"},{"key":"ref15","article-title":"Improving kerneLSHAP: Practical Shapley value estimation via linear regression","author":"Covert","year":"1536"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970906"},{"issue":"6","key":"ref17","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/j.orl.2012.08.002","article-title":"A new approach of cooperative interval games: The interval core and Shapley value revisited","volume":"40","author":"Han","year":"2012","journal-title":"Operations Res. Lett."},{"issue":"6","key":"ref18","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1016\/j.orl.2020.09.002","article-title":"A reformulated Shapley-like value for cooperative games with interval payoffs","volume":"48","author":"Feng","year":"2020","journal-title":"Operations Res. Lett."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1111\/biom.13392"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1307116"},{"key":"ref21","first-page":"1","article-title":"Model class reliance for random forests","volume-title":"Proc. Adv. Neural Inf. Process. Syst. 33: Annu. Conf. Neural Inf. Process. Syst.","author":"Smith","year":"2020"},{"key":"ref22","first-page":"1","article-title":"All models are wrong, but many are useful: Learning a variable\u2019s importance by studying an entire class of prediction models simultaneously","volume":"20","author":"Fisher","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref23","first-page":"10282","article-title":"Efficient nonparametric statistical inference on population feature importance using Shapley values","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","author":"Williamson"},{"key":"ref24","article-title":"Explaining the uncertain: Stochastic Shapley values for Gaussian process models","author":"Chau","year":"2023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3389\/fams.2020.587199"},{"key":"ref26","article-title":"Model-agnostic confidence intervals for feature importance: A fast and powerful approach using minipatch ensembles","author":"Gan","year":"2023"},{"key":"ref27","first-page":"26598","article-title":"Shapley residuals: Quantifying the limits of the Shapley value for explanations","volume-title":"Adv. Neural Inf. Process. Syst.","author":"Kumar"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-009-0116-0"},{"key":"ref29","first-page":"1","article-title":"Learning confidence intervals for feature importance: A fast Shapley-based approach","volume-title":"Proc. Workshop Proc. EDBT\/ICDT Joint Conf.","author":"Napolitano"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/2009\/342089"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/g14030050"},{"issue":"767","key":"ref32","first-page":"333","article-title":"Outline of a theory of statistical estimation based on the classical theory of probability","volume":"236","author":"Neyman","year":"1937","journal-title":"Philos. Trans. Roy. Soc. London. Ser. A Math. Phys. Sci."},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1142\/6096","volume-title":"Statistical methods in experimental physics (2nd Edition)","author":"James","year":"2006"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2641190.2641198"},{"key":"ref35","first-page":"4768","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lundberg"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref38","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0679-x"},{"key":"ref40","article-title":"Euclidean distance between intervals is the only representation-invariant one","author":"Kosheleva","year":"2020"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/10750897\/10584436.pdf?arnumber=10584436","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:31:45Z","timestamp":1732667505000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10584436\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":40,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3420180","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}