Schmidt, L., Heße, F., Attinger, S., & Kumar, R. (2020). Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany. Water resources research, 56(5), -n/a. https://doi.org/10.1029/2019WR025924
Chicago Style (17th ed.) CitationSchmidt, Lennart, Falk Heße, Sabine Attinger, and Rohini Kumar. "Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany." Water Resources Research 56, no. 5 (2020): -n/a. https://doi.org/10.1029/2019WR025924.
MLA (9th ed.) CitationSchmidt, Lennart, et al. "Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany." Water Resources Research, vol. 56, no. 5, 2020, pp. -n/a, https://doi.org/10.1029/2019WR025924.