| How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences S Jiang, L Sweet, G Blougouras, A Brenning, W Li, M Reichstein, ... Earth's Future 12 (7), e2024EF004540, 2024 | 28 | 2024 |
| Cross-validation strategy impacts the performance and interpretation of machine learning models L Sweet, C Müller, M Anand, J Zscheischler Artificial Intelligence for the Earth Systems 2 (4), e230026, 2023 | 27 | 2023 |
| Monitoring voltage measurements for a vehicle battery C Meißner, M Marenz, L Hopp, LB Sweet, PR Verheijen US Patent 11,653,127, 2023 | 4 | 2023 |
| Using interpretable machine learning to identify compound meteorological drivers of crop yield failure L Sweet, J Zscheischler EGU General Assembly Conference Abstracts, EGU22-5464, 2022 | 2 | 2022 |
| Identifying compound weather drivers of forest biomass loss with generative deep learning M Anand, FJ Bohn, G Camps-Valls, R Fischer, A Huth, L Sweet, ... Environmental Data Science 3, e4, 2024 | 1 | 2024 |
| Predicting Australian energy demand variability using weather data and machine learning D Richardson, S Hobeichi, L Sweet, E Rey-Costa, G Abramowitz, ... Environmental Research Letters 20 (1), 014028, 2024 | | 2024 |
| Causal machine learning for sustainable agroecosystems V Sitokonstantinou, EDS Porras, JC Bautista, M Piles, I Athanasiadis, ... arXiv preprint arXiv:2408.13155, 2024 | | 2024 |
| CY-Bench: A comprehensive benchmark dataset for subnational crop yield forecasting D Paudel, H Baja, R van Bree, M Kallenberg, S Ofori-Ampofo, A Potze, ... | | 2024 |
| Insights into weather-driven forest mortality with a cross-modal transformer M Anand, L Sweet, FJ Bohn, G Camps-Valls, R Fischer, A Huth, ... AGU Fall Meeting Abstracts 2023, B34B-07, 2023 | | 2023 |
| Model evaluation strategy impacts the interpretation and performance of machine learning models L Sweet, C Müller, M Anand, J Zscheischler EGU General Assembly Conference Abstracts, EGU-8479, 2023 | | 2023 |
| Identifying compound weather prototypes of forest mortality with β-VAE M Anand, F Bohn, L Sweet, G Camps-Valls, J Zscheischler EGU General Assembly Conference Abstracts, EGU-10219, 2023 | | 2023 |
| Model evaluation method affects the interpretation of machine learning models for identifying compound drivers of maize variability L Sweet, J Zscheischler EXTREME WEATHER AND CLIMATE, 116, 2022 | | 2022 |
Jakob ZscheischlerHelmholtz Centre for Environmental Research - UFZΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ufz.de
