Decoding Ethiopian Abodes: Towards Classifying Buildings by Occupancy Type Using Footprint Morphology. - Daniel S. Adams; Taylor Hauser; Jessica Moehl (ICMLA, 2023)

SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics. - Daniel S. Adams; Jessica Moehl; Clinton Stipek; Taylor Hauser; Peter Li (IEEE Big Data, 2024)

Empirically Categorizing the Built Environment in Relation to Height. - Clinton Stipek; Justin Epting; Daniel S. Adams; Viswadeep Lebakula; Taylor Hauser; Robert Stewart; Christa Brelsford; Allan Ross (IEEE Big Data, 2024)

Multivariate Testing of Sampling Techniques to Address Class Imbalance in Building Use Type Classification. - Daniel S. Adams; Taylor Hauser; Hsiuhan Lexie Yang; Peter Li (GeoAI@SIGSPATIAL, 2024)

HumoNet: A Framework for Realistic Modeling and Simulation of Human Mobility Network. - Joon-Seok Kim 001; Gautam Malviya Thakur; Licia Amichi; Annetta Burger; Chathika Gunaratne; Joseph V. Tuccillo; Taylor Hauser; Joseph Bentley; Kevin A. Sparks; Debraj De; Chance Brown; Elizabeth C. McBride; et al. (MDM, 2024)

Leveraging Open-Source Satellite-Derived Building Footprints for Height Inference. - Clinton Stipek; Taylor Hauser; Justin Epting; Jessica Moehl; Daniel S. Adams (GIScience, 2025)

A segmented approach to modeling building height: Delineating high-rise and low-rise buildings for enhanced height estimation. - Clinton Stipek; Daniel S. Adams; Philipe A. Dias; Taylor Hauser; Viswadeep Lebakula; Alexander Sorokine; Justin Epting; Jessica Moehl; Robert Stewart (Comput. Environ. Urban Syst., 2025)