activity
20182022
most citedShadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time

50 citations · 83 across the 6 of their papers we have counts for

collaborators

10 papers

cs.DB2022

GPU-Powered Spatial Database Engine for Commodity Hardware: Extended Version

Harish Doraiswamy, Juliana Freire

Given the massive growth in the volume of spatial data, there is a great need for systems that can efficiently evaluate spatial queries over large data sets. These queries are noto…

cs.LG20222 cited

Topological Representations of Local Explanations

Peter Xenopoulos, Gromit Chan, Harish Doraiswamy +3

Local explainability methods -- those which seek to generate an explanation for each prediction -- are becoming increasingly prevalent due to the need for practitioners to rational…

cs.AI2020

Valuing Player Actions in Counter-Strike: Global Offensive

Peter Xenopoulos, Harish Doraiswamy, Claudio Silva

Esports, despite its expanding interest, lacks fundamental sports analytics resources such as accessible data or proven and reproducible analytical frameworks. Even Counter-Strike:…

cs.DB2020

The Case for Distance-Bounded Spatial Approximations

Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek +3

Spatial approximations have been traditionally used in spatial databases to accelerate the processing of complex geometric operations. However, approximations are typically only us…

cs.GR2020

TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data

Harish Doraiswamy, Julien Tierny, Paulo J. S. Silva +2

Multidimensional Projection is a fundamental tool for high-dimensional data analytics and visualization. With very few exceptions, projection techniques are designed to map data fr…

cs.HC202028 cited

Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data

Fabio Miranda, Maryam Hosseini, Marcos Lage +3

Urban planning is increasingly data driven, yet the challenge of designing with data at a city scale and remaining sensitive to the impact at a human scale is as important today as…