| 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 | 357 | 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 | 57 | 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 | 29 | 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 | 21 | 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 | 12 | 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 | 7 | 2019 |
| YOLO object detection models can locate and classify broad groups of flower-visiting arthropods in images T Stark, V Ştefan, M Wurm, R Spanier, H Taubenböck, TM Knight Scientific Reports 13 (1), 16364, 2023 | 6 | 2023 |
| Spatial parameters for transportation D Stiller, P d’Angelo, H Taubenböck, M Wurm, K Stebner, T Stark, S Dech Journal of Transport and Land Use 14 (1), 777-803, 2021 | 6 | 2021 |
| Efficiency of CNNs for building extraction: Comparative analysis of performance and time D Stiller, T Stark, V Strobl, M Leupold, M Wurm, H Taubenböck 2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023 | 3 | 2023 |
| Quantifying uncertainty in slum detection: advancing transfer-learning with limited data in noisy urban environments T Stark, M Wurm, XX Zhu, H Taubenbock IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 2 | 2024 |
| Detecting challenging urban environments using a few-shot meta-learning approach T Stark, M Wurm, XX Zhu, H Taubenböck 2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023 | 2 | 2023 |
| Are public green spaces distributed fairly? A nationwide analysis based on remote sensing, OpenStreetMap and census data M Weigand, M Wurm, A Droin, T Stark, J Staab, J Rauh, H Taubenböck Geocarto International 38 (1), 2286305, 2023 | | 2023 |
| Using CNNs on Sentinel-2 data for road traffic noise modelling J Staab, T Stark, M Wurm, K Wolf, M Dallavalle, A Schady, T Lakes, ... 2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023 | | 2023 |
