| ClimateBench v1. 0: A benchmark for data‐driven climate projections D Watson‐Parris, Y Rao, D Olivié, Ø Seland, P Nowack, G Camps‐Valls, ... Journal of Advances in Modeling Earth Systems 14 (10), e2021MS002954, 2022 | 36 | 2022 |
| ClimateBench: A benchmark dataset for data-driven climate projections D Watson-Parris, Y Rao, D Olivié, Ø Seland, PJ Nowack, G Camps-Valls, ... Authorea Preprints, 2022 | 2 | 2022 |
| Leveraging machine learning to predict the autoconversion rates from satellite data M Novitasari, J Quaas, M Rodrigues NeurIPS, 2021 | 2 | 2021 |
| ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data MC Novitasari, J Quaas, M Rodrigues International Conference on Artificial Intelligence and Statistics, 3358-3366, 2024 | | 2024 |
| Estimating the Autoconversion Rates from Satellite Data: Machine Learning-Based Approaches MC Novitasari, J Quaas, MRD Rodrigues 103rd AMS Annual Meeting, 2023 | | 2023 |
| Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data MC Novitasari, J Quaas, M Rodrigues NeurIPS, 2023 | | 2023 |
| ClimateBench: A benchmark for data-driven climate projections D Watson-Parris, Y Rao, D Olivié, O Seland, PJ Nowack, G Camps-Valls, ... AGU Fall Meeting Abstracts 2022, GC22I-0688, 2022 | | 2022 |
| Machine Learning-Based Approaches to Predict the Autoconversion Rates from Satellite Data MC Novitasari, J Quaas, MRD Rodrigues | | |
