32 citations · 34 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 32 cited
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations
Yuhan Ji, Song Gao, Ying Nie +2
Applying AI foundation models directly to geospatial datasets remains challenging due to their limited ability to represent and reason with geographical entities, specifically vect…
cs.LG2023
Prediction of Tourism Flow with Sparse Geolocation Data
Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner +5
Modern tourism in the 21st century is facing numerous challenges. Among these the rapidly growing number of tourists visiting space-limited regions like historical cities, museums…
cs.LG2022★ 2 cited
Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data
Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner +5
Modern tourism in the 21st century is facing numerous challenges. One of these challenges is the rapidly growing number of tourists in space limited regions such as historical city…