Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks. - Julian Hagenauer; Marco Helbich (Int. J. Geogr. Inf. Sci., 2012)

Toward mapping land-use patterns from volunteered geographic information. - Jamal Jokar Arsanjani; Marco Helbich; Mohamed Bakillah; Julian Hagenauer; Alexander Zipf (Int. J. Geogr. Inf. Sci., 2013)

Contextual neural gas for spatial clustering and analysis. - Julian Hagenauer; Marco Helbich (Int. J. Geogr. Inf. Sci., 2013)

Hierarchical self-organizing maps for clustering spatiotemporal data. - Julian Hagenauer; Marco Helbich (Int. J. Geogr. Inf. Sci., 2013)

Artificial neural networks: methods and applications in spatial data mining. - Julian Hagenauer (2013)

Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study. - Hossein Shafizadeh-Moghadam; Julian Hagenauer; Manuchehr Farajzadeh; Marco Helbich (Int. J. Geogr. Inf. Sci., 2015)

Weighted merge context for clustering and quantizing spatial data with self-organizing neural networks. - Julian Hagenauer (J. Geogr. Syst., 2016)

SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. - Julian Hagenauer; Marco Helbich (Trans. GIS, 2016)

Data on Healthy Food Accessibility in Amsterdam, The Netherlands. - Marco Helbich; Julian Hagenauer (Data, 2017)

A comparative study of machine learning classifiers for modeling travel mode choice. - Julian Hagenauer; Marco Helbich (Expert Syst. Appl., 2017)

Local modelling of land consumption in Germany with RegioClust. - Julian Hagenauer; Marco Helbich (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran. - Hossein Shafizadeh-Moghadam; Masoud Minaei; Himan Shahabi; Julian Hagenauer (Earth Sci. Informatics, 2019)

Assessing the performance of 38 machine learning models: the case of land consumption rates in Bavaria, Germany. - Julian Hagenauer; Hichem Omrani; Marco Helbich (Int. J. Geogr. Inf. Sci., 2019)

A geographically weighted artificial neural network. - Julian Hagenauer; Marco Helbich (Int. J. Geogr. Inf. Sci., 2022)

Letter to the Editor in reference to the article entitled '4D-GWR: geographically, altitudinal, and temporally weighted regression'. - Marco Helbich; Julian Hagenauer (Neural Comput. Appl., 2023)