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Active learning for convolutional neural networks: a core-set approach.  arXiv:1708.00489. 2017. doi:10.48550\/arXiv.1708.00489."},{"key":"ref21","doi-asserted-by":"crossref","first-page":"5879","DOI":"10.1109\/TNNLS.2024.3396463","article-title":"A survey on deep active learning: recent advances and new frontiers","volume":"36","author":"Li","year":"2024","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref22","first-page":"2014","article-title":"Active semi-supervised clustering algorithm for multi-density datasets (ASS-DBSCAN)","volume":"15","author":"Atwa","year":"2024","journal-title":"Int J Adv Comput Sci Appl"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/s13748-021-00230-w","article-title":"Active learning approach using a modified least confidence sampling strategy for named entity recognition","volume":"10","author":"Agrawal","year":"2021","journal-title":"Prog Artif Intell"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"820","DOI":"10.3390\/math11040820","article-title":"A survey on active learning: state-of-the-art, practical challenges and research directions","volume":"11","author":"Tharwat","year":"2023","journal-title":"Mathematics"},{"key":"ref25","first-page":"181","article-title":"Semi-supervised active learning for anomaly detection in aviation","volume":"20","author":"Memarzadeh","year":"2023","journal-title":"J Aerosp Inf Syst"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1016\/j.patcog.2007.10.004","article-title":"Active semi-supervised fuzzy clustering","volume":"41","author":"Grira","year":"2008 May","journal-title":"Pattern Recognit"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"114670","DOI":"10.1016\/j.chaos.2024.114670","article-title":"Neighborhood information based semi-supervised fuzzy C-means employing feature-weight and cluster-weight learning","volume":"181","author":"Jasim","year":"2024","journal-title":"Chaos Solitons Frac"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1109\/TASE.2023.3237840","article-title":"Interval type-2 fuzzy neural network based on active semi-supervised learning for non-stationary industrial processes","volume":"21","author":"Qiao","year":"2023","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"ref29","series-title":"Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). Philadelphia, PA, USA: Society for Industrial and Applied Mathematics","first-page":"1027","article-title":"k-means++: the advantages of careful seeding","author":"Arthur","year":"2007"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1334","DOI":"10.1109\/TAI.2024.3524370","article-title":"A stratified seed selection algorithm for K-means clustering on big data","volume":"6","author":"Bajpai","year":"2025 May","journal-title":"IEEE Trans Artif Intell"},{"key":"ref31","unstructured":"Markelle Kelly KN, Rachel L. The UCI machine learning repository [Internet]. [cited 2025 May 15]. Available from: https:\/\/archive.ics.uci.edu."},{"key":"ref32","unstructured":"Karim MF, Sharma K, Niyar R, Barman NR. Flood area segmentation [Dataset]. Kaggle. 2022; [cited 2025 May 15]. Available from: https:\/\/www.kaggle.com\/dsv\/4732950."},{"key":"ref33","series-title":"2009 IEEE International Conference on Fuzzy Systems","first-page":"1119","article-title":"On semi-supervised fuzzy c-means clustering","author":"Yasunori","year":"2009 Aug 20\u201324"},{"key":"ref34","series-title":"International Conference on Pattern Recognition and Information Processing","first-page":"132","article-title":"Fuzzy semi-supervised clustering with active constraint selection","author":"Novoselova","year":"2016"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","article-title":"Objective criteria for the evaluation of clustering methods","volume":"66","author":"Rand","year":"1971","journal-title":"J Am Stat Assoc"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"27331","DOI":"10.1109\/ACCESS.2024.3367772","article-title":"Application of semi-supervised learning in image classification: research on fusion of labeled and unlabeled data","volume":"12","author":"Li","year":"2024","journal-title":"IEEE Access"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"9021","DOI":"10.1038\/s41598-024-59073-9","article-title":"Proof of biased behavior of normalized mutual information","volume":"14","author":"Mahmoudi","year":"2024","journal-title":"Sci Rep"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.neucom.2023.01.043","article-title":"PDBI: a partitioning Davies-Bouldin index for clustering evaluation","volume":"528","author":"Ros","year":"2023","journal-title":"Neurocomputing"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-85-3\/TSP_CMC_69636\/TSP_CMC_69636.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:24:15Z","timestamp":1763346255000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v85n3\/64195"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":38,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.069636","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2025-06-27","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-08-28","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-10-23","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}