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Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet., , , , , и . Remote. Sens., 13 (14): 2707 (2021)Improved Locally Linear Embedding for Big-data Classification., и . BigSpatial@SIGSPATIAL, стр. 37-41. ACM, (2017)Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar., и . CoRR, (2023)Efficient Large-Scale Damage Assessment After Natural Disasters With UAVS and Deep Learning., и . IGARSS, стр. 1668-1671. IEEE, (2023)FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding., , , , , и . CoRR, (2020)Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks., и . ICIP, стр. 2835-2839. IEEE, (2023)ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings., , , , и . IGARSS, стр. 8162-8165. IEEE, (2023)Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment., и . IGARSS, стр. 2325-2328. IEEE, (2021)Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM)., и . CoRR, (2024)Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms., , , , , и . CoRR, (2023)