{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T02:33:40Z","timestamp":1783823620059,"version":"3.55.0"},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100012542","name":"Sichuan Provincial Science and Technology Support Program","doi-asserted-by":"publisher","award":["2026NSFSC0783"],"award-info":[{"award-number":["2026NSFSC0783"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62476182"],"award-info":[{"award-number":["62476182"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376230"],"award-info":[{"award-number":["62376230"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306054"],"award-info":[{"award-number":["62306054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306196"],"award-info":[{"award-number":["62306196"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.patcog.2026.113537","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T10:06:44Z","timestamp":1773828404000},"page":"113537","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"PA","title":["Partial multi-label feature selection via dual-space combination and disambiguation strategy fusion"],"prefix":"10.1016","volume":"179","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0248-7708","authenticated-orcid":false,"given":"Hongkun","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7225-5577","authenticated-orcid":false,"given":"Hongmei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0741-4622","authenticated-orcid":false,"given":"Biao","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7456-4445","authenticated-orcid":false,"given":"Zhong","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7780-104X","authenticated-orcid":false,"given":"Tianrui","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"8","key":"10.1016\/j.patcog.2026.113537_bib0001","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1109\/TKDE.2013.39","article-title":"A review on multi-label learning algorithms","volume":"26","author":"Zhang","year":"2013","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113537_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.108271","article-title":"Well-calibrated confidence measures for multi-label text classification with a large number of labels","volume":"122","author":"Maltoudoglou","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113537_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113047","article-title":"Multi-label feature selection via label relaxation","volume":"175","author":"Fan","year":"2025","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.patcog.2026.113537_bib0004","first-page":"681","article-title":"A kernel method for multi-labelled classification","volume":"14","author":"Elisseeff","year":"2001","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"7","key":"10.1016\/j.patcog.2026.113537_bib0005","doi-asserted-by":"crossref","first-page":"2038","DOI":"10.1016\/j.patcog.2006.12.019","article-title":"ML-KNN: a lazy learning approach to multi-label learning","volume":"40","author":"Zhang","year":"2007","journal-title":"Pattern Recognit."},{"issue":"1","key":"10.1016\/j.patcog.2026.113537_bib0006","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/TPAMI.2014.2339815","article-title":"Lift: multi-label learning with label-specific features","volume":"37","author":"Zhang","year":"2014","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113537_bib0007","doi-asserted-by":"crossref","first-page":"5641","DOI":"10.1109\/TMM.2023.3338080","article-title":"Dual noise elimination and dynamic label correlation guided partial multi-label learning","volume":"26","author":"Hu","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.113537_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2025.122101","article-title":"Partial multi-label learning with label and classifier correlations","volume":"712","author":"Wang","year":"2025","journal-title":"Inf. Sci."},{"key":"10.1016\/j.patcog.2026.113537_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111310","article-title":"Partial multi-label feature selection with feature noise","volume":"162","author":"Wu","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113537_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111444","article-title":"Partial multi-label learning via semi-supervised subspace collaboration","volume":"287","author":"Tan","year":"2024","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.patcog.2026.113537_bib0011","doi-asserted-by":"crossref","first-page":"9920","DOI":"10.1109\/TMM.2024.3402534","article-title":"Negative label and noise information guided disambiguation for partial multi-label learning","volume":"26","author":"Zhong","year":"2024","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.113537_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119917","article-title":"Learning shared and non-redundant label-specific features for partial multi-label classification","volume":"656","author":"Zou","year":"2024","journal-title":"Inf. Sci."},{"key":"10.1016\/j.patcog.2026.113537_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111523","article-title":"Partial multi-label feature selection based on label distribution learning","volume":"164","author":"Lin","year":"2025","journal-title":"Pattern Recognit."},{"issue":"10","key":"10.1016\/j.patcog.2026.113537_bib0014","doi-asserted-by":"crossref","first-page":"3587","DOI":"10.1109\/TPAMI.2020.2985210","article-title":"Partial multi-label learning via credible label elicitation","volume":"43","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113537_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.112005","article-title":"Learning embedded label-specific features for partial multi-label learning","volume":"170","author":"Xu","year":"2026","journal-title":"Pattern Recognit."},{"issue":"2","key":"10.1016\/j.patcog.2026.113537_bib0016","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1007\/s10115-020-01527-3","article-title":"Partial multi-label learning with noisy side information","volume":"63","author":"Sun","year":"2021","journal-title":"Knowl. Inf. Syst."},{"issue":"6","key":"10.1016\/j.patcog.2026.113537_bib0017","doi-asserted-by":"crossref","first-page":"4207","DOI":"10.1007\/s00521-024-10822-x","article-title":"Partial multi-label feature selection based on label matrix decomposition","volume":"37","author":"Liu","year":"2025","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.patcog.2026.113537_bib0018","first-page":"1502","article-title":"Fast label enhancement for label distribution learning","volume":"35","author":"Wang","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"10.1016\/j.patcog.2026.113537_bib0019","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1109\/JBHI.2020.2988720","article-title":"Multi-label fusion collaborative matrix factorization for predicting LncRNA-disease associations","volume":"25","author":"Gao","year":"2020","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"10.1016\/j.patcog.2026.113537_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.112945","article-title":"EIK-Nav: boosting zero-shot object navigation with explicit and implicit knowledge","volume":"174","author":"Jiang","year":"2026","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113537_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111281","article-title":"Integrating label confidence-based feature selection for partial multi-label learning","volume":"161","author":"Han","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113537_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110743","article-title":"Partial multi-label learning via three-way decision-based tri-training","volume":"276","author":"Qian","year":"2023","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.patcog.2026.113537_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.103072","article-title":"Class label fusion guided correlation learning for incomplete multi-label classification","volume":"120","author":"Jia","year":"2025","journal-title":"Inf. Fusion"},{"issue":"15","key":"10.1016\/j.patcog.2026.113537_bib0024","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1007\/s10489-025-06769-8","article-title":"Classifier enhancement based on credible sample selection for partial multi-label learning","volume":"55","author":"Mu","year":"2025","journal-title":"Appl. Intell."},{"key":"10.1016\/j.patcog.2026.113537_bib0025","doi-asserted-by":"crossref","unstructured":"H. Wang, S. Yang, G. Lyu, W. Liu, T. Hu, K. Chen, S. Feng, G. Chen, Deep partial multi-label learning with graph disambiguation, 2023, arXiv: 2305.05882.","DOI":"10.24963\/ijcai.2023\/479"},{"key":"10.1016\/j.patcog.2026.113537_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119556","article-title":"Partial multi-label feature selection via subspace optimization","volume":"648","author":"Hao","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.patcog.2026.113537_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111899","article-title":"Partial multi-label feature selection via low-rank and sparse factorization with manifold learning","volume":"296","author":"Sun","year":"2024","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.patcog.2026.113537_bib0028","doi-asserted-by":"crossref","first-page":"9113","DOI":"10.1109\/TPAMI.2025.3584847","article-title":"Investigating synthetic-to-real transfer robustness for stereo matching and optical flow estimation","volume":"47","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"10.1016\/j.patcog.2026.113537_bib0029","doi-asserted-by":"crossref","first-page":"1618","DOI":"10.1109\/TCYB.2021.3107422","article-title":"Prior knowledge regularized self-representation model for partial multilabel learning","volume":"53","author":"Lyu","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.patcog.2026.113537_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.114017","article-title":"Partial multi-label learning via K-means graph transformer","volume":"325","author":"Li","year":"2025","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.patcog.2026.113537_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2025.122485","article-title":"Few-shot partial multi-label learning with credible non-candidate label","volume":"719","author":"Wang","year":"2025","journal-title":"Inf. Sci."},{"issue":"3","key":"10.1016\/j.patcog.2026.113537_bib0032","doi-asserted-by":"crossref","DOI":"10.1007\/s11432-023-4230-2","article-title":"Partial multi-label learning via label-specific feature corrections","volume":"68","author":"Hang","year":"2025","journal-title":"Sci. China Inf. Sci."},{"key":"10.1016\/j.patcog.2026.113537_bib0033","doi-asserted-by":"crossref","first-page":"4795","DOI":"10.1007\/s11263-025-02407-5","article-title":"Fully decoupled end-to-end person search: an approach without conflicting objectives","volume":"133","author":"Zhang","year":"2025","journal-title":"Int. J. Comput. Vis."},{"issue":"13","key":"10.1016\/j.patcog.2026.113537_bib0034","doi-asserted-by":"crossref","first-page":"2623","DOI":"10.3390\/electronics14132623","article-title":"Distributed partial label multi-dimensional classification via label space decomposition","volume":"14","author":"Xu","year":"2025","journal-title":"Electronics"},{"key":"10.1016\/j.patcog.2026.113537_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.107137","article-title":"Fuzzy bifocal disambiguation for partial multi-label learning","volume":"185","author":"Fang","year":"2025","journal-title":"Neural Netw."},{"key":"10.1016\/j.patcog.2026.113537_bib0036","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.ins.2022.03.015","article-title":"Low rank label subspace transformation for multi-label learning with missing labels","volume":"596","author":"Kumar","year":"2022","journal-title":"Inf. Sci."},{"key":"10.1016\/j.patcog.2026.113537_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110791","article-title":"Partial label feature selection based on noisy manifold and label distribution","volume":"156","author":"Qian","year":"2024","journal-title":"Pattern Recognit."},{"issue":"3","key":"10.1016\/j.patcog.2026.113537_bib0038","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2716262","article-title":"A tutorial on multilabel learning","volume":"47","author":"Gibaja","year":"2015","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"10.1016\/j.patcog.2026.113537_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110411","article-title":"Multi-label feature selection via latent representation learning and dynamic graph constraints","volume":"151","author":"Zhang","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113537_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.120662","article-title":"Label relaxation and shared information for multi-label feature selection","volume":"671","author":"Fan","year":"2024","journal-title":"Inf Sci (Ny)"},{"key":"10.1016\/j.patcog.2026.113537_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111948","article-title":"Multi-label feature selection via similarity constraints with non-negative matrix factorization","volume":"297","author":"He","year":"2024","journal-title":"Knowl. Based Syst."},{"issue":"1","key":"10.1016\/j.patcog.2026.113537_bib0042","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"Dem\u0161ar","year":"2006","journal-title":"J. Mach. Learn. Res."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326005030?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326005030?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T13:01:35Z","timestamp":1780491695000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326005030"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":42,"alternative-id":["S0031320326005030"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113537","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Partial multi-label feature selection via dual-space combination and disambiguation strategy fusion","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113537","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113537"}}