{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T15:31:02Z","timestamp":1788449462842,"version":"build-2803163510"},"reference-count":175,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["SE 3163\/3-1"],"award-info":[{"award-number":["SE 3163\/3-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["500105691"],"award-info":[{"award-number":["500105691"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Commun. Surv. Tutorials"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/comst.2025.3583227","type":"journal-article","created":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T14:27:15Z","timestamp":1750861635000},"page":"761-799","source":"Crossref","is-referenced-by-count":4,"title":["A Tutorial on Data-Driven Quality-of-Experience Modeling With Explainable Artificial Intelligence"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6176-0327","authenticated-orcid":false,"given":"Nikolas","family":"Wehner","sequence":"first","affiliation":[{"name":"Chair of Communication Networks, University of W&#x00FC;rzburg, W&#x00FC;rzburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3329-9910","authenticated-orcid":false,"given":"Anika","family":"Seufert","sequence":"additional","affiliation":[{"name":"Chair of Communication Networks, University of W&#x00FC;rzburg, W&#x00FC;rzburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0173-595X","authenticated-orcid":false,"given":"Tobias","family":"Ho\u00dffeld","sequence":"additional","affiliation":[{"name":"Chair of Communication Networks, University of W&#x00FC;rzburg, W&#x00FC;rzburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5036-5206","authenticated-orcid":false,"given":"Michael","family":"Seufert","sequence":"additional","affiliation":[{"name":"Chair of Networked Systems and Communication Networks, University of Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-019-0355-6"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1900271"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3384460"},{"key":"ref4","volume-title":"Qualinet white paper on definitions of quality of experience","author":"Brunnstr\u00f6m","year":"2013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISM.2011.87"},{"key":"ref6","first-page":"1288","article-title":"Model for estimating QoE of video delivered using HTTP adaptive streaming","volume-title":"Proc. IFIP\/IEEE Int. Symp. Integr. Netw. Manag. (IM)","author":"De Vriendt"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2534169.2486025"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2014.2363139"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2014.2360940"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2014.2298217"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2401424"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2619982"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901778"},{"key":"ref14","first-page":"103","article-title":"The memory effect and its implications on Web QoE modeling","volume-title":"Proc. 23rd Int. Teletraffic Congr. (ITC)","author":"Ho\u00dffeld"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2012.6363769"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2639108.2639137"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2015.7148078"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s41233-017-0009-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2018.8463430"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1111\/isj.12192"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX55416.2022.9900881"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s41233-023-00058-3"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX58391.2023.10178499"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3208124"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1117\/12.2077917"},{"key":"ref26","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref27","volume-title":"ITU-T Recommendation E.800: Definitions of Terms Related to Quality of Service","year":"2008"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2015.7148142"},{"key":"ref29","volume-title":"Methods for subjective determination of transmission quality","year":"1996"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2017.7965687"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2018.00186"},{"key":"ref32","volume-title":"White paper on crowdsourced network and QoE measurements\u2014Definitions, use cases and challenges","author":"Ho\u00dffeld","year":"2020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2020.3036497"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3466826.3466840"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3179924"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2024.3382393"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2914038"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref39","article-title":"Opportunities and challenges in explainable artificial intelligence (XAI): A survey","author":"Das","year":"2020","journal-title":"arXiv:2006.11371"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"ref41","article-title":"What does explainable AI really mean? A new conceptualization of perspectives","author":"Doran","year":"2017","journal-title":"arXiv:1710.00794"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65965-3_28"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3149592"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3176369"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1002\/nem.2083"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3176648"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2014.01.008"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ComManTel.2014.6825604"},{"key":"ref50","article-title":"Survey on QoE\/QoS correlation models for multimedia services","author":"Alreshoodi","year":"2013","journal-title":"arXiv:1306.0221"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2011.120811.00063"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2024.3504955"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2024.3386872"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2024.3510543"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3437248"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3280465"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3287678"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2023.3282740"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103111"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10088-y"},{"key":"ref61","article-title":"Explainable artificial intelligence (XAI) on time-series data: A survey","author":"Rojat","year":"2021","journal-title":"arXiv:2104.00950"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3116481"},{"key":"ref63","article-title":"Explainable artificial intelligence: A systematic review","author":"Vilone","year":"2020","journal-title":"arXiv:2006.00093"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.23919\/MIPRO.2018.8400040"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2100109"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2958784"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3670685"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-12544-8_17"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36784-7_11"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2015.2460611"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098843"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/INM.2011.5990550"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/2818361"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2016.2570012"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX51781.2021.9465422"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1145\/2619239.2626296"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1145\/3712676.3714441"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1145\/3027947.3027949"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2010.5430142"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/MedComNet49392.2020.9191615"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2831639"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2019.8743250"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/SITIS57111.2022.00093"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSPW59220.2023.10193530"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1145\/3349611.3355548"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2018.2822870"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2011.6065690"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2013.155"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2016.7498939"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1145\/3304109.3306226"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/ICIN.2019.8685901"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-4728-4"},{"key":"ref93","first-page":"28","article-title":"Revealing QoE of web Users from encrypted network traffic","volume-title":"Proc. IEEE IFIP Netw. Conf. (Netw.)","author":"Huet"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2018.8422609"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ45933.2021.9494509"},{"key":"ref96","article-title":"Assessing the quality-of-experience of adaptive bitrate video streaming","author":"Duanmu","year":"2020","journal-title":"arXiv:2008.08804"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2729891"},{"key":"ref98","article-title":"Towards perceptually optimized end-to-end adaptive video streaming","author":"Bampis","year":"2018","journal-title":"arXiv:1808.03898"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2014.6982293"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-76481-8_3"},{"key":"ref101","article-title":"Revisiting small batch training for deep neural networks","author":"Masters","year":"2018","journal-title":"arXiv:1804.07612"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/SNAMS.2019.8931841"},{"key":"ref103","article-title":"Correlation-based feature selection for machine learning","author":"Hall","year":"1999"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2015.02.025"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3395289"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.2307\/1937887"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.23919\/CNSM62983.2024.10814448"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/MN55117.2022.9887781"},{"key":"ref109","volume-title":"Design of experiments: Statistical principles of research design and analysis","author":"Kuehl","year":"2000"},{"key":"ref110","volume-title":"Design and Analysis: A Researcher\u2019s Handbook","author":"Wickens","year":"2004"},{"key":"ref111","volume-title":"Introduction to Linear Regression Analysis","author":"Montgomery","year":"2021"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1201\/9781315139470"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11491"},{"key":"ref116","first-page":"4768","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. NIPS","author":"Lundberg"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16826"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/SBRN.2000.889734"},{"key":"ref119","article-title":"KAN: Kolmogorov\u2013Arnold networks","author":"Liu","year":"2024","journal-title":"arXiv:2404.19756"},{"key":"ref120","article-title":"InterpretML: A unified framework for machine learning interpretability","author":"Nori","year":"2019","journal-title":"arXiv:1909.09223"},{"key":"ref121","first-page":"4699","article-title":"Neural additive models: Interpretable machine learning with neural nets","volume-title":"Proc. NIPS","author":"Agarwal"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"issue":"7","key":"ref124","first-page":"579","article-title":"Multilayer perceptron and neural networks","volume":"8","author":"Popescu","year":"2009","journal-title":"WSEAS Trans. Circuits Syst."},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref126","first-page":"1","article-title":"Algorithms for hyper-parameter optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"24","author":"Bergstra"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022643204877"},{"key":"ref128","volume-title":"C4.5: Programs for Machine Learning","author":"Quinlan","year":"2014"},{"key":"ref129","first-page":"3145","article-title":"Learning important features through propagating activation differences","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shrikumar"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref131","volume-title":"A value for N-person games","author":"Shapley","year":"1953"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0138-9"},{"key":"ref133","volume-title":"Welcome to the SHAP documentation","year":"2024"},{"key":"ref134","volume-title":"Anchor","year":"2024"},{"key":"ref135","volume-title":"TabNet: Attentive interpretable tabular learning","year":"17"},{"key":"ref136","article-title":"Interpretable machine learning for science with PySR and symbolicRegression.jl","author":"Cranmer","year":"2023","journal-title":"arXiv:2305.01582"},{"key":"ref137","volume-title":"Welcome to Kolmogorov Arnold network (KAN) documentation!","author":"Liu","year":"2024"},{"key":"ref138","volume-title":"The science behind InterpretML: Explainable boosting machine","year":"2021"},{"key":"ref139","volume-title":"InterpretML","year":"2024"},{"key":"ref140","volume-title":"Neural additive models: Interpretable machine learning with neural nets","year":"2024"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2018.00185"},{"key":"ref142","volume-title":"The E-model: A computational model for use in transmission planning","author":"Bergstra","year":"2015"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3032080"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-2496(02)00028-7"},{"key":"ref145","volume-title":"Deep Learning","author":"J","year":"2016"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6736760"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.23919\/CNSM62983.2024.10814433"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1016\/j.strusafe.2008.06.020"},{"key":"ref149","first-page":"1","article-title":"What uncertainties do we need in Bayesian deep learning for computer vision?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Kendall"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-05946-3"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2019.8743296"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"issue":"1","key":"ref153","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref154","article-title":"Neural additive models for location scale and shape: A framework for interpretable neural regression beyond the mean","author":"Thielmann","year":"2023","journal-title":"arXiv:2301.11862"},{"key":"ref155","article-title":"Maximum likelihood uncertainty estimation: Robustness to outliers","author":"Nair","year":"2022","journal-title":"arXiv:2202.03870"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-022-01664-x"},{"key":"ref157","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","volume":"2","author":"Li"},{"key":"ref158","volume-title":"TensorFlow federated","year":"2024"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3090430"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3315746"},{"key":"ref162","first-page":"1","article-title":"Towards automatic concept-based explanations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Ghorbani"},{"key":"ref163","article-title":"Counterfactual explanations for machine learning: A review","author":"Verma","year":"2020","journal-title":"arXiv:2010.10596"},{"key":"ref164","article-title":"Mediators: Conversational agents explaining NLP model behavior","author":"Feldhus","year":"2022","journal-title":"arXiv:2206.06029"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-023-00692-8"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1145\/3584931.3607492"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.359"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX61742.2024.10598297"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-023-06495-7"},{"key":"ref170","first-page":"1885","article-title":"Understanding black-box predictions via influence functions","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Koh"},{"key":"ref171","doi-asserted-by":"crossref","DOI":"10.2307\/2987975","volume-title":"Robust statistics\u2014The approach based on influence functions","author":"Law","year":"1986"},{"key":"ref172","volume-title":"Active learning literature survey","author":"Settles","year":"2009"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00914"},{"key":"ref174","volume-title":"From a human-centric perspective: What might 6G be?","author":"Dang","year":"2023"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2020.2992755"}],"container-title":["IEEE Communications Surveys &amp; Tutorials"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9739\/11321210\/11050900.pdf?arnumber=11050900","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T05:43:35Z","timestamp":1767332615000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11050900\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":175,"URL":"https:\/\/doi.org\/10.1109\/comst.2025.3583227","relation":{},"ISSN":["1553-877X","2373-745X"],"issn-type":[{"value":"1553-877X","type":"electronic"},{"value":"2373-745X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}