13 citations as recorded by crossref.

1. Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling T. Miinalainen et al. 10.5194/acp-23-3471-2023
2. Estimation of the bubble size and bubble loading in a flotation froth using electrical resistance tomography A. Nissinen et al. 10.1016/j.mineng.2014.07.001
3. Technical note: Parameterising cloud base updraft velocity of marine stratocumuli J. Ahola et al. 10.5194/acp-22-4523-2022
4. Model-enforced post-process correction of satellite aerosol retrievals A. Lipponen et al. 10.5194/amt-14-2981-2021
5. Correction of Model Reduction Errors in Simulations A. Lipponen et al. 10.1137/15M1052421
6. Contrast enhancement in EIT imaging of the brain A. Nissinen et al. 10.1088/0967-3334/37/1/1
7. Physically regularized machine learning emulators of aerosol activation S. Silva et al. 10.5194/gmd-14-3067-2021
8. Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product A. Lipponen et al. 10.5194/amt-15-895-2022
9. Changes in urban air pollution after a shift in anthropogenic activity analysed with ensemble learning, competitive learning and unsupervised clustering M. Hulkkonen et al. 10.1016/j.apr.2022.101393
10. A Physics‐Aware Machine Learning‐Based Framework for Minimizing Prediction Uncertainty of Hydrological Models A. Roy et al. 10.1029/2023WR034630
11. Maximuma posterioriestimates in linear inverse problems with log-concave priors are proper Bayes estimators M. Burger & F. Lucka 10.1088/0266-5611/30/11/114004
12. A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy A. Roy et al. 10.1029/2022WR033318
13. Constructing reduced model for complex physical systems via interpolation and neural networks* X. Lai et al. 10.1088/1674-1056/abd92e