| Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks M Wurm, T Stark, XX Zhu, M Weigand, H Taubenböck ISPRS journal of photogrammetry and remote sensing 150, 59-69, 2019 | 243 | 2019 |
| Satellite-based mapping of urban poverty with transfer-learned slum morphologies T Stark, M Wurm, XX Zhu, H Taubenböck IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 30 | 2020 |
| Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN D Stiller, T Stark, M Wurm, S Dech, H Taubenböck 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | 21 | 2019 |
| Slum mapping in imbalanced remote sensing datasets using transfer learned deep features T Stark, M Wurm, H Taubenböck, XX Zhu 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | 14 | 2019 |
| Using deep convolutional neural networks for the identification of informal settlements to improve a sustainable development in urban environments T Stark Technische Universität München, 2018 | 10 | 2018 |
| Modelling the impact of the urban spatial structure on the choice of residential location using ‘big earth data’and machine learning M Wurm, M Weigand, T Stark, J Goebel, GG Wagner, H Taubenböck 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | 3 | 2019 |
| YOLO object detection models can locate and classify broad groups of flower-visiting arthropods in images T Stark, V Stefan, M Wurm, R Spanier, H Taubenboeck, TM Knight | | 2023 |
