3 citations · 7 across the 7 of their papers we have counts for
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physics.geo-ph2025
Machine-learned global glacier ice volumes
N. Maffezzoli, E. Rignot, C. Barbante +3
We present a global dataset of glacier ice thickness modeled with IceBoost v2.0, a machine learning model trained on 7 million ice thickness measurements and informed by physical a…
cs.CV2025★ 2 cited
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting
Giacomo Rosin, Muhammad Rameez Ur Rahman, Sebastiano Vascon
Human trajectory forecasting is crucial in applications such as autonomous driving, robotics and surveillance. Accurate forecasting requires models to consider various factors, inc…