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Hidden Latent State Inference in a Spatio-Temporal Generative Model, , , , , , и . (2020)cite arxiv:2009.09823Comment: As submitted to the 35th conference of the Association for the Advancement of Artificial Intelligence (AAAI-21).Incorporating limited field operability and legacy soil samples in a hypercube sampling design for digital soil mapping, , , , , , , , и . Journal of Plant Nutrition and Soil Science, 179 (4): 499 - 509 (2016)Random Forest-Based Soil Moisture Estimation Using Sentinel-2, Landsat-8/9, and UAV-Based Hyperspectral Data., , , , , , , , , и . Remote. Sens., 16 (11): 1962 (июня 2024)Sediment reallocations due to erosive rainfall events in the Three Gorges Reservoir Area, China, , , , , , , и . (2017)A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties., , , , , и . Remote. Sens., 14 (3): 472 (2022)A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction., , , , , и . ESANN, стр. 303-308. (2020)Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions., , , , , и . Remote. Sens., 13 (5): 1025 (2021)Sediment Reallocations due to Erosive Rainfall Events in the Three Gorges Reservoir Area, Central China, , , , , , , и . Land Degradation & Development, (2016)Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model., , , , , , и . Remote. Sens., 13 (9): 1698 (2021)Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space., , , , , , , , , и . Remote. Sens., 12 (7): 1095 (2020)