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Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data.

, , , , , , , , and . Remote. Sens., 13 (3): 484 (2021)

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Bayesian Transformed Gaussian Processes., , , , and . Trans. Mach. Learn. Res., (2023)Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data., , and . IGARSS, page 4505-4508. IEEE, (2020)Variational Gaussian Processes with Decoupled Conditionals., , , , and . NeurIPS, (2023)Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework., and . CoRR, (2023)Scaling Gaussian Processes with Derivative Information Using Variational Inference., , , , and . NeurIPS, page 6442-6453. (2021)GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications., , , , and . PPSC, page 1-13. SIAM, (2022)Socio-Semantic Network Motifs Framework for Discourse Analysis., , and . LAK, page 500-506. ACM, (2022)Estimating Leaf Area Index with Dynamic Leaf Optical Properties., , , , , , , , and . Remote. Sens., 13 (23): 4898 (2021)Spatial-Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks., , , , , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)GPTune: multitask learning for autotuning exascale applications., , , , , , and . PPoPP, page 234-246. ACM, (2021)