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Active learning with label correlation exploration for multi-label image classification.

, , , , , and . IET Comput. Vis., 11 (7): 577-584 (2017)

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Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization., , , and . ICBK, page 323-330. IEEE, (2021)HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets., , , , , and . ICKG, page 329-336. IEEE, (2022)Immune Centroids Over-Sampling Method for Multi-Class Classification., , , , , and . PAKDD (1), volume 9077 of Lecture Notes in Computer Science, page 251-263. Springer, (2015)Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work., , , and . SSCI, page 1-8. IEEE, (2021)Recurrent Convolutional Neural Network for Sequential Recommendation., , , , , , , and . WWW, page 3398-3404. ACM, (2019)Meta-optimized Contrastive Learning for Sequential Recommendation., , , , , , , and . SIGIR, page 89-98. ACM, (2023)Batch Mode Active Learning for Networked Data with Optimal Subset Selection., , , , , , and . WAIM, volume 9098 of Lecture Notes in Computer Science, page 96-108. Springer, (2015)Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation., , , , , , , and . CoRR, (2019)Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics., , , and . Big Data Min. Anal., 3 (1): 1-12 (2020)Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges., , , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 4 (4): 500-522 (2020)