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Multi-Label Active Learning with Chi-Square Statistics for Image Classification., , , , , и . ICMR, стр. 583-586. ACM, (2015)Batch Mode Active Learning for Networked Data with Optimal Subset Selection., , , , , , и . WAIM, том 9098 из Lecture Notes in Computer Science, стр. 96-108. Springer, (2015)Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics., , , и . Big Data Min. Anal., 3 (1): 1-12 (2020)Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges., , , , , , и . IEEE Trans. Emerg. Top. Comput. Intell., 4 (4): 500-522 (2020)Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation., , , , , , , и . CoRR, (2019)Social Personalized Ranking Embedding for Next POI Recommendation., , , , , , и . WISE (1), том 10569 из Lecture Notes in Computer Science, стр. 91-105. Springer, (2017)Semi-automatic Labeling with Active Learning for Multi-label Image Classification., , , , , и . PCM (1), том 9314 из Lecture Notes in Computer Science, стр. 473-482. Springer, (2015)Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation., , , , , и . IEEE Access, (2019)An Empirical Study of Reducing Multiclass Classification Methodologies., и . MLDM, том 7988 из Lecture Notes in Computer Science, стр. 505-519. Springer, (2013)RPCV: Recommend Potential Customers to Vendors in Location-Based Social Network., , , , , , и . WAIM, том 9098 из Lecture Notes in Computer Science, стр. 272-284. Springer, (2015)