Daniel S. Adams

According to our database, Daniel S. Adams authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Leveraging Open-Source Satellite-Derived Building Footprints for Height Inference.

Clinton Stipek, Taylor Hauser, Justin Epting, Jessica Moehl, Daniel S. Adams

Proceedings of the 13th International Conference on Geographic Information Science, 2025

2024

Detecting Important Drivers of Gridded Population Modeling With Machine Learning.

Viswadeep Lebakula, Daniel S. Adams, Justin Epting, Clinton Stipek, Marie L. Urban

Proceedings of the International Conference on Machine Learning and Applications, 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

Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 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

Proceedings of the IEEE International Conference on Big Data, 2024

At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning.

Viswadeep Lebakula, Clinton Stipek, Daniel S. Adams, Justin Epting, Marie L. Urban

Proceedings of the IEEE International Conference on Big Data, 2024

SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics.

Daniel S. Adams, Jessica Moehl, Clinton Stipek, Taylor Hauser, Peter Li

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Decoding Ethiopian Abodes: Towards Classifying Buildings by Occupancy Type Using Footprint Morphology.

Daniel S. Adams, Taylor Hauser, Jessica Moehl

Proceedings of the International Conference on Machine Learning and Applications, 2023