3 papers
cs.CV2026
Synergising Local Geo-Environmental Characteristics with Spatial Context for Enhancing Landslide Susceptibility Mapping
Yusen Cheng, Lei Fan, Qinfeng Zhu +3
Data-driven methods are widely used in landslide susceptibility mapping (LSM) because they can effectively model the complex relationships between landslides and geo-environmental…
cs.CV2026
From Landslide Conditioning Factors to Satellite Embeddings: Evaluating the Utilisation of Google AlphaEarth for Landslide Susceptibility Mapping using Deep Learning
Yusen Cheng, Qinfeng Zhu, Lei Fan
Data-driven landslide susceptibility mapping (LSM) typically relies on landslide conditioning factors (LCFs), whose availability, heterogeneity, and preprocessing-related uncertain…
q-fin.CP2024
Machine Learning Methods for Pricing Financial Derivatives
Lei Fan, Justin Sirignano
Stochastic differential equation (SDE) models are the foundation for pricing and hedging financial derivatives. The drift and volatility functions in SDE models are typically chose…