Making AI explainable in the global south: A systematic review
Artificial intelligence (AI) and machine learning (ML) are quickly becoming pervasive in ways
that impact the lives of all humans across the globe. In an effort to make otherwise” black …
that impact the lives of all humans across the globe. In an effort to make otherwise” black …
When urban region profiling meets large language models
Urban region profiling from web-sourced data is of utmost importance for urban planning
and sustainable development. We are witnessing a rising trend of LLMs for various fields …
and sustainable development. We are witnessing a rising trend of LLMs for various fields …
Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction
Monitoring sustainable development goals requires accurate and timely socioeconomic
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
Beyond the first law of geography: Learning representations of satellite imagery by leveraging point-of-interests
Satellite imagery depicts the earth's surface remotely and provides comprehensive
information for many applications, such as land use monitoring and urban planning. Existing …
information for many applications, such as land use monitoring and urban planning. Existing …
A satellite imagery dataset for long-term sustainable development in united states cities
Cities play an important role in achieving sustainable development goals (SDGs) to promote
economic growth and meet social needs. Especially satellite imagery is a potential data …
economic growth and meet social needs. Especially satellite imagery is a potential data …
Evaluating model performance under worst-case subpopulations
The performance of ML models degrades when the training population is different from that
seen under operation. Towards assessing distributional robustness, we study the worst-case …
seen under operation. Towards assessing distributional robustness, we study the worst-case …
Healthy Cities, A comprehensive dataset for environmental determinants of health in England cities
This paper presents a fine-grained and multi-sourced dataset for environmental
determinants of health collected from England cities. We provide health outcomes of citizens …
determinants of health collected from England cities. We provide health outcomes of citizens …
Predicting multi-level socioeconomic indicators from structural urban imagery
Understanding economic development and designing government policies requires
accurate and timely measurements of socioeconomic activities. In this paper, we show how …
accurate and timely measurements of socioeconomic activities. In this paper, we show how …
Downscaling earth system models with deep learning
Modern climate models offer simulation results that provide unprecedented details at the
local level. However, even with powerful supercomputing facilities, their computational …
local level. However, even with powerful supercomputing facilities, their computational …
Profiling urban streets: A semi-supervised prediction model based on street view imagery and spatial topology
With the expansion and growth of cities, profiling urban areas with the advent of multi-modal
urban datasets (eg, points-of-interest and street view imagery) has become increasingly …
urban datasets (eg, points-of-interest and street view imagery) has become increasingly …