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The Application of Unmanned Aerial Vehicle Remote Sensing in Quickly Monitoring Crop Pests., , , and . Intell. Autom. Soft Comput., 18 (8): 1043-1052 (2012)Empirical study on variational inference methods for topic models., , , and . J. Exp. Theor. Artif. Intell., 30 (1): 129-142 (2018)Supervised contrastive learning with corrected labels for noisy label learning., , , and . Appl. Intell., 53 (23): 29378-29392 (December 2023)Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs., , , , and . COLING, page 151-160. ACL, (2016)Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling., , , and . IJCAI, page 2404-2410. ijcai.org, (2018)Prediction of Nitrogen Content in Apple Leaves Based on Continuous Wavelet Transform., , , , , , , and . IGARSS, page 1841-1844. IEEE, (2019)Hyperspectral Estimation of Nitrogen Content in Winter Wheat Leaves Based on Unmanned Aerial Vehicles., , , , , , , and . CCTA (2), volume 546 of IFIP Advances in Information and Communication Technology, page 321-339. Springer, (2017)Mapping Soybean Maturity and Biochemical Traits Using UAV-Based Hyperspectral Images., , , , , , , , , and . Remote. Sens., 15 (19): 4807 (October 2023)Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance., , , , , , , and . Remote. Sens., 13 (12): 2338 (2021)Filtering out the noise in short text topic modeling., , , , , and . Inf. Sci., (2018)