2 citations · 2 across the 1 of their papers we have counts for
5 papers
Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research
Nripsuta Ani Saxena, Abigail L. Horn, Wenbin Zhang +1
Despite location being increasingly used in decision-making systems deployed in sensitive domains such as mortgages and insurance, little attention has been paid to the unfairness…
Geo2Vec: Shape- and Distance-Aware Neural Representation of Geospatial Entities
Chen Chu, Cyrus Shahabi
Spatial representation learning is essential for GeoAI applications such as urban analytics, enabling the encoding of shapes, locations, and spatial relationships (topological and…
POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution
Nripsuta Ani Saxena, Shang-Ling Hsu, Mehul Shetty +3
Accurately attributing user visits to specific Points of Interest (POIs) is a foundational task for mobility analytics, personalized services, marketing and urban planning. However…
Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications
Maria Despoina Siampou, Jialiang Li, John Krumm +2
Encoding geospatial objects is fundamental for geospatial artificial intelligence (GeoAI) applications, which leverage machine learning (ML) models to analyze spatial information.…
Differentially Private Publication of Electricity Time Series Data in Smart Grids
Sina Shaham, Gabriel Ghinita, Bhaskar Krishnamachari +1
Smart grids are a valuable data source to study consumer behavior and guide energy policy decisions. In particular, time-series of power consumption over geographical areas are ess…