Julian Hagenauer

15 papers Journal 14
YearRankTypeTitle / Venue / Authors
2023 J jnl
Letter to the Editor in reference to the article entitled '4D-GWR: geographically, altitudinal, and temporally weighted regression'.
Neural Comput. Appl.
Marco Helbich, Julian Hagenauer
2022 J jnl
A geographically weighted artificial neural network.
Int. J. Geogr. Inf. Sci.
Julian Hagenauer, Marco Helbich
2019 J jnl
Assessing the performance of 38 machine learning models: the case of land consumption rates in Bavaria, Germany.
Int. J. Geogr. Inf. Sci.
Julian Hagenauer, Hichem Omrani, Marco Helbich
2019 J jnl
Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran.
Earth Sci. Informatics
Hossein Shafizadeh-Moghadam, Masoud Minaei, Himan Shahabi, Julian Hagenauer
2018 J jnl
Local modelling of land consumption in Germany with RegioClust.
Int. J. Appl. Earth Obs. Geoinformation
Julian Hagenauer, Marco Helbich
2017 J jnl
A comparative study of machine learning classifiers for modeling travel mode choice.
Expert Syst. Appl.
Julian Hagenauer, Marco Helbich
2017 J jnl
Data on Healthy Food Accessibility in Amsterdam, The Netherlands.
Data
Marco Helbich, Julian Hagenauer
2016 J jnl
SPAWNN: A Toolkit for
Trans. GIS
Julian Hagenauer, Marco Helbich
2016 J jnl
Weighted merge context for clustering and quantizing spatial data with self-organizing neural networks.
J. Geogr. Syst.
Julian Hagenauer
2015 J jnl
Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study.
Int. J. Geogr. Inf. Sci.
Hossein Shafizadeh-Moghadam, Julian Hagenauer, Manuchehr Farajzadeh, Marco Helbich
2013 — —
Artificial neural networks: methods and applications in spatial data mining.
Julian Hagenauer
2013 J jnl
Contextual neural gas for spatial clustering and analysis.
Int. J. Geogr. Inf. Sci.
Julian Hagenauer, Marco Helbich
2013 J jnl
Hierarchical self-organizing maps for clustering spatiotemporal data.
Int. J. Geogr. Inf. Sci.
Julian Hagenauer, Marco Helbich
2013 J jnl
Toward mapping land-use patterns from volunteered geographic information.
Int. J. Geogr. Inf. Sci.
Jamal Jokar Arsanjani, Marco Helbich, Mohamed Bakillah, Julian Hagenauer, Alexander Zipf
2012 J jnl
Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks.
Int. J. Geogr. Inf. Sci.
Julian Hagenauer, Marco Helbich