A Predictive Uncertainty Model for Field-Based Survey Maps Using Generalized Linear Models. - Stefan Leyk; Niklaus E. Zimmermann (GIScience, 2004)

A Conceptual Framework for Uncertainty Investigation in Map-based Land Cover Change Modelling. - Stefan Leyk; Ruedi Boesch; Robert Weibel (Trans. GIS, 2005)

Saliency and semantic processing: Extracting forest cover from historical topographic maps. - Stefan Leyk; Ruedi Boesch; Robert Weibel (Pattern Recognit., 2006)

Segmentation of Colour Layers in Historical Maps Based on Hierarchical Colour Sampling. - Stefan Leyk (GREC, 2009)

Colors of the past: color image segmentation in historical topographic maps based on homogeneity. - Stefan Leyk; Ruedi Boesch (GeoInformatica, 2010)

Efficient and Robust Graphics Recognition from Historical Maps. - Yao-Yi Chiang; Stefan Leyk; Craig A. Knoblock (GREC, 2011)

Assessing the uncertainty of non-change in national-scale vegetation mapping using 3D wavelet transformed NDVI time series. - Hee-Young Yoo; Stefan Leyk; No-Wook Park (IGARSS, 2013)

Modeling Ambiguity in Census Microdata Allocations to Improve Demographic Small Area Estimates. - Stefan Leyk; Barbara P. Buttenfield; Nicholas N. Nagle (Trans. GIS, 2013)

A Survey of Digital Map Processing Techniques. - Yao-Yi Chiang; Stefan Leyk; Craig A. Knoblock (ACM Comput. Surv., 2014)

Understanding the Combined Impacts of Aggregation and Spatial Non-Stationarity: The Case of Migration-Environment Associations in Rural South Africa. - Galen Maclaurin; Stefan Leyk; Lori Hunter (Trans. GIS, 2015)

Assessing the impact of graphical quality on automatic text recognition in digital maps. - Yao-Yi Chiang; Stefan Leyk; Narges Nazari; Sima Moghaddam; Tianxiang Tan (Comput. Geosci., 2016)

Exploiting temporal information in parcel data to refine small area population estimates. - Hamidreza Zoraghein; Stefan Leyk; Matthew Ruther; Barbara P. Buttenfield (Comput. Environ. Urban Syst., 2016)

Automatic alignment of geographic features in contemporary vector data and historical maps. - Weiwei Duan; Yao-Yi Chiang; Craig A. Knoblock; Vinil Jain; Dan Feldman; Johannes H. Uhl; Stefan Leyk (GeoAI@SIGSPATIAL, 2017)

A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change. - Johannes H. Uhl; Stefan Leyk (IGARSS, 2017)

Building Linked Data from Historical Maps. - Chun Lin; Hang Su; Craig A. Knoblock; Yao-Yi Chiang; Weiwei Duan; Stefan Leyk; Johannes H. Uhl (SemSci@ISWC, 2018)

Enhancing areal interpolation frameworks through dasymetric refinement to create consistent population estimates across censuses. - Hamidreza Zoraghein; Stefan Leyk (Int. J. Geogr. Inf. Sci., 2018)

Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing. - Johannes H. Uhl; Stefan Leyk; Yao-Yi Chiang; Weiwei Duan; Craig A. Knoblock (IET Image Process., 2018)

Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections. - Johannes H. Uhl; Stefan Leyk; Yao-Yi Chiang; Weiwei Duan; Craig A. Knoblock (ISPRS Int. J. Geo Inf., 2018)

Building Linked Spatio-Temporal Data from Vectorized Historical Maps. - Basel Shbita; Craig A. Knoblock; Weiwei Duan; Yao-Yi Chiang; Johannes H. Uhl; Stefan Leyk (ESWC, 2020)

An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. - Zekun Li 007; Yao-Yi Chiang; Sasan Tavakkol; Basel Shbita; Johannes H. Uhl; Stefan Leyk; Craig A. Knoblock (KDD, 2020)

Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks. - Johannes H. Uhl; Stefan Leyk; Yao-Yi Chiang; Weiwei Duan; Craig A. Knoblock (IEEE Access, 2020)

Exposing the urban continuum: implications and cross-comparison from an interdisciplinary perspective. - Johannes H. Uhl; Hamidreza Zoraghein; Stefan Leyk; Deborah Balk; Christina Corbane; Vasileios Syrris; Aneta J. Florczyk (Int. J. Digit. Earth, 2020)

Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning. - Weiwei Duan; Yao-Yi Chiang; Stefan Leyk; Johannes H. Uhl; Craig A. Knoblock (Int. J. Geogr. Inf. Sci., 2020)

Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. - Weiwei Duan; Yao-Yi Chiang; Stefan Leyk; Johannes H. Uhl; Craig A. Knoblock (IEEE BigData, 2021)

A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. - Weiwei Duan; Yao-Yi Chiang; Stefan Leyk; Johannes H. Uhl; Craig A. Knoblock (IEEE BigData, 2021)

Global Harmonization of Urbanization Measures: Proceed with Care. - Deborah Balk; Stefan Leyk; Mark R. Montgomery; Hasim Engin (Remote. Sens., 2021)

Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents. - Johannes H. Uhl; Stefan Leyk; Zekun Li 007; Weiwei Duan; Basel Shbita; Yao-Yi Chiang; Craig A. Knoblock (Remote. Sens., 2021)

MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015). - Johannes H. Uhl; Stefan Leyk (CoRR, 2022)

Geospatial Modeling Approaches to Historical Settlement and Landscape Analysis. - Hendrik Herold; Martin Behnisch; Robert Hecht; Stefan Leyk (ISPRS Int. J. Geo Inf., 2022)

Road network evolution in the urban and rural United States since 1900. - Keith Burghardt; Johannes H. Uhl; Kristina Lerman; Stefan Leyk (Comput. Environ. Urban Syst., 2022)

Towards the automated large-scale reconstruction of past road networks from historical maps. - Johannes H. Uhl; Stefan Leyk; Yao-Yi Chiang; Craig A. Knoblock (Comput. Environ. Urban Syst., 2022)

Building spatio-temporal knowledge graphs from vectorized topographic historical maps. - Basel Shbita; Craig A. Knoblock; Weiwei Duan; Yao-Yi Chiang; Johannes H. Uhl; Stefan Leyk (Semantic Web, 2023)

Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States. - Johannes H. Uhl; Stefan Leyk (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data. - Martino Pesaresi; Marcello Schiavina; Panagiotis Politis; Sérgio Freire 002; Katarzyna Krasnodebska; Johannes H. Uhl; Alessandra Carioli; Christina Corbane; Lewis Dijkstra; Pietro Florio; Hannah K. Friedrich; Jing Gao; et al. (Int. J. Digit. Earth, 2024)