📖📖 Paper Synopsis: Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking Abstract We adapt image inpainting techniques to impute large, irregular missing regions in urban settings characterized by sparsity, variance in both space and time, and anomalous events. Missing regions in urban data can be ... Read more 01 Jan 2023 - 1 minute read
📖📖 Paper Synopsis: Integrative urban AI to expand coverage, access, and equity of urban data Abstract We consider the use of AI techniques to expand the coverage, access, and equity of urban data. We aim to enable holistic research on city dynamics, steering AI research attention away from profitoriented, societally harmful applications (e.g., ... Read more 09 Apr 2022 - less than 1 minute read
📖📖 Paper Synopsis: In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Objectives: We study interpretable recidivism prediction using machine learning (ML) models and analyze performance in terms of prediction ability, sparsity, and fairness. Unlike previous works, this study trains interpretable m... Read more 28 Mar 2022 - 4 minute read
📖📖 Paper Synopsis: Socioeconomic Influence on Emergency Medical Services Utilization for Acute Stroke: Think Nationally, Act Locally Background and Purpose: Rates of emergency medical services (EMS) utilization for acute stroke remain low nationwide, despite the time-sensitive nature of the disease. Prior research suggests several demographic a... Read more 01 Jan 2021 - 1 minute read
📖📖 Paper Synopsis: Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition Cognitive Impairment (CI) is defned as the loss of ability in cognitive functions, such as remembering, learning, and concentrating, which negatively impacts affected individuals’ daily activities. In the stage of mil... Read more 01 Jan 2020 - 2 minute read