| Machine learning methods for stream water temperature prediction M Feigl, K Lebiedzinski, M Herrnegger, K Schulz Hydrology and Earth System Sciences Discussions 2021, 1-35, 2021 | 83 | 2021 |
| Systematic analysis and comparison of commercial seizure‐detection software J Koren, S Hafner, M Feigl, C Baumgartner Epilepsia 62 (2), 426-438, 2021 | 34 | 2021 |
| Function space optimization: A symbolic regression method for estimating parameter transfer functions for hydrological models M Feigl, M Herrnegger, D Klotz, K Schulz Water resources research 56 (10), e2020WR027385, 2020 | 22 | 2020 |
| Evaluation of satellite precipitation products for water allocation studies in the Sio-Malaba-Malakisi river basin of East Africa P Omonge, M Feigl, L Olang, K Schulz, M Herrnegger Journal of Hydrology: Regional Studies 39, 100983, 2022 | 13 | 2022 |
| Der Wert Alpiner Forschungseinzugsgebiete im Bereich der Fernerkundung, der Schneedeckenmodellierung und der lokalen Klimamodellierung M Bernhardt, S Härer, M Feigl, K Schulz Österreichische Wasser-und Abfallwirtschaft 70, 515-528, 2018 | 9 | 2018 |
| Automatic regionalization of model parameters for hydrological models M Feigl, S Thober, R Schweppe, M Herrnegger, L Samaniego, K Schulz Water Resources Research 58 (12), e2022WR031966, 2022 | 8 | 2022 |
| Learning from mistakes—Assessing the performance and uncertainty in process‐based models M Feigl, B Roesky, M Herrnegger, K Schulz, M Hayashi Hydrological Processes 36 (2), e14515, 2022 | 6 | 2022 |
| Genome-wide association study of germline copy number variations reveals an association with prostate cancer aggressiveness S Brezina, M Feigl, T Gumpenberger, R Staudinger, A Baierl, A Gsur Mutagenesis 35 (3), 283-290, 2020 | 5 | 2020 |
| On the ability of LIDAR snow depth measurements to determine or evaluate the HRU discretization in a land surface model M Weber, M Feigl, K Schulz, M Bernhardt Hydrology 7 (2), 20, 2020 | 5 | 2020 |
| Vorhersage der Fließgewässertemperaturen in österreichischen Einzugsgebieten mittels Machine Learning-Verfahren M Feigl, K Lebiedzinski, M Herrnegger, K Schulz Österreichische Wasser-und Abfallwirtschaft 73 (7), 308-328, 2021 | 3 | 2021 |
| Potenzial von Machine Learning bei der kurzfristigen Leistungsprognose innerhalb einer Laufkraftwerkskette C Klingler, M Feigl, T Linsbichler, S Frey, K Schulz Österreichische Wasser-und Abfallwirtschaft 74 (5), 224-240, 2022 | 2 | 2022 |
| Groundwater recharge modeling-the importance of distributed soil information in hydrological models H Zeitfogel, M Herrnegger, M Feigl, K Schulz EGU General Assembly Conference Abstracts, EGU22-8526, 2022 | 2 | 2022 |
| Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity H Zeitfogel, M Feigl, K Schulz Geoderma 433, 116418, 2023 | 1 | 2023 |
| Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C Klingler, M Feigl, F Borgwardt, C Seliger, S Schmutz, M Herrnegger Österreichische Wasser-und Abfallwirtschaft 74 (11), 469-485, 2022 | 1 | 2022 |
| Österreichweite Regionalisierung bodenhydraulischer Eigenschaften H Zeitfogel, M Feigl, K Schulz Österreichische Wasser-und Abfallwirtschaft 74 (3), 166-178, 2022 | 1 | 2022 |
| Regionalisierung hydrologischer Modelle mit Function Space Optimization M Feigl, M Herrnegger, R Schweppe, S Thober, D Klotz, L Samaniego, ... Österreichische Wasser-und Abfallwirtschaft 73 (7), 281-294, 2021 | 1 | 2021 |
| systematic analysis and comparison of commercial seizure detection software (vol 62, pg 426, 2021) J Koren, S Hafner, M Feigl, C Baumgartner EPILEPSIA 64 (4), 1087-1090, 2023 | | 2023 |
| Automatic Estimation of Parameter Transfer Functions for Distributed Hydrological Models-Function Space Optimization Applied on the mHM Model M Feigl, R Schweppe, S Thober, M Herrnegger, L Samaniego, K Schulz Authorea Preprints, 2022 | | 2022 |
| Performance of Machine Learning in short-term power forecasting within a run-of-river power plant chain C Klingler, M Feigl, T Linsbichler, S Frey, K Schulz | | 2022 |
| Prediction of soil hydraulic properties for the extent of Austria H Zeitfogel, M Feigl, K Schulz | | 2022 |
Karsten SchulzUniversity of Natural Resources and Life Sciences (BOKU) ViennaVerified email at boku.ac.at
