{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T21:15:10Z","timestamp":1790111710605,"version":"4.0.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Research Council of Norway under the project entitled “Unsupervised Lifelong Learning","award":["316080"],"award-info":[{"award-number":["316080"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jstars.2025.3596008","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T18:07:15Z","timestamp":1754417235000},"page":"21355-21366","source":"Crossref","is-referenced-by-count":4,"title":["Game-Theoretic Consensus Deep Learning for Adaptive Flood Prediction in Digital Twin Environments"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5140-1224","authenticated-orcid":false,"given":"Youcef","family":"Djenouri","sequence":"first","affiliation":[{"name":"University of South-Eastern Norway, Kongsberg, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Micha\u0142 Tomasz","family":"Godziszewski","sequence":"additional","affiliation":[{"name":"University of Lodz, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5599-8080","authenticated-orcid":false,"given":"Fabio","family":"Andrade","sequence":"additional","affiliation":[{"name":"University of South-Eastern Norway, Kongsberg, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9851-4103","authenticated-orcid":false,"given":"Gautam","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Department of Math and Computer Science, Brandon University, Brandon, Manitoba, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9233-3723","authenticated-orcid":false,"given":"Ahmed Nabil","family":"Belbachir","sequence":"additional","affiliation":[{"name":"Norwegian Research Centre, Grimstad, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aniello","family":"Murano","sequence":"additional","affiliation":[{"name":"Universita degli Studi di Napoli Federico II, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-59091-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s41976-024-00152-w"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3365417"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2024.3501216"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2024.3497576"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs16050858"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3440995"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2024.114069"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2024.03.017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2024.110670"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3704435"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.11.063"},{"key":"ref13","first-page":"969","article-title":"Improved feature importance computation for tree models based on the banzhaf value","volume-title":"Proc. Conf. Uncertain. Artif. Intell.","author":"Karczmarz","year":"2022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00228"},{"key":"ref15","article-title":"Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning","volume-title":"Cogn. Syst. Res.","volume":"84","author":"Mumuni","year":"2024"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/NSS\/MIC44867.2021.9875507"},{"issue":"20","key":"ref17","first-page":"4987","article-title":"Deep learning methods for semantic segmentation in remote sensing with small data: A survey","volume-title":"Remote Sens.","volume":"15","author":"Yu","year":"2023"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1111\/insr.12502"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510146"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.09.022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i11.21711"},{"key":"ref22","first-page":"3397","article-title":"Using the Shapley value to analyze algorithm portfolios","volume-title":"Proc. AAAI Conf. Artif. Intell.","volume":"30","author":"Frchette","year":"2016"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20080-9_11"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00047"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3242775"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00038"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104103"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3238370"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3197910"},{"key":"ref30","first-page":"4563","article-title":"Scalable marginal likelihood estimation for model selection in deep learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Immer","year":"2021"},{"key":"ref31","first-page":"14223","article-title":"Bayesian model selection, the marginal likelihood, and generalization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lotfi","year":"2022"},{"key":"ref32","first-page":"20089","article-title":"Laplace redux: Effortless Bayesian deep learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Daxberger","year":"2021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482302"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2020.105094"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/make4020020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-024-06616-y"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2024.105170"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.54097\/st5jc056"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3501976"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2023.2183145"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-68906-6"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/buildings14051370"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1177\/18724981241296365"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2024.3378061"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2025.111450"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/rs17010077"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.envres.2017.12.008"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s10726-021-09760-z"},{"key":"ref49","first-page":"180","article-title":"On the convergence of the shapley value in parametric bayesian learning games","volume-title":"Int. Conf. Mach. Learn.","author":"Agussurja","year":"2022"},{"key":"ref50","first-page":"370","article-title":"A simple expression for the shapley value in a special case","volume-title":"Manage. Sci.","volume":"20","author":"Littlechild","year":"1973"},{"key":"ref51","first-page":"186","article-title":"Aircraft landing fees: A game theory approach","volume-title":"Bell J. Econ.","volume":"8","author":"Littlechild","year":"1977"},{"issue":"8","key":"ref52","first-page":"869","article-title":"The shapley value as aircraft landing feesrevisited","volume-title":"Manage. Sci.","volume":"28","author":"Dubey","year":"1982"},{"key":"ref53","article-title":"Airport problems and consistent solution rules","volume":"246","author":"Potters","year":"2017"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3390\/w14060993"},{"key":"ref55","article-title":"Transformer-based flood scene segmentation for developing countries","author":"Roy","year":"2022"},{"issue":"4","key":"ref56","first-page":"43053","article-title":"Precipitation nowcasting based on convlstm-unet deep spatiotemporal network","volume":"33","author":"Zheng","year":"2024","journal-title":"J. Electron. Imag."},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793991"},{"key":"ref58","article-title":"Vision-enhanced time series forecasting via latent diffusion models","author":"Ruan","year":"2025"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2021.126898"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25129"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3277018"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00621"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.05.037"},{"key":"ref64","first-page":"15368","article-title":"Bi-directional weakly supervised knowledge distillation for whole slide image classification","volume":"35","author":"Qu","year":"2022","journal-title":"Adv. Neural Info. Proces. Syst."},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6030"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01409"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20028"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10766875\/11113305.pdf?arnumber=11113305","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T05:01:19Z","timestamp":1756789279000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11113305\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3596008","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}