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SMOGN: a Pre-processing Approach for Imbalanced Regression

, , and . First International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@PKDD/ECML 2017, 22 September 2017, Skopje, Macedonia, volume 74 of Proceedings of Machine Learning Research, page 36--50. PMLR, (2017)

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Learning with Imbalanced Domains: Preface., , , and . LIDTA@PKDD/ECML, volume 74 of Proceedings of Machine Learning Research, page 1-6. PMLR, (2017)Crime Prediction Using Regression and Resources Optimization., , and . EPIA, volume 9273 of Lecture Notes in Computer Science, page 513-524. Springer, (2015)Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation., , , and . Remote. Sens., 16 (4): 683 (February 2024)DistSMOGN: Distributed SMOGN for Imbalanced Regression Problems., , and . LIDTA, volume 183 of Proceedings of Machine Learning Research, page 38-52. PMLR, (2022)Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms., , , and . DSAA, page 1-10. IEEE, (2021)HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers., , , and . DS, volume 14276 of Lecture Notes in Computer Science, page 673-687. Springer, (2023)Cost-Sensitive Learning: Preface., , , , and . COST@SDM, volume 88 of Proceedings of Machine Learning Research, page 1-3. PMLR, (2018)A Survey of Predictive Modelling under Imbalanced Distributions., , and . CoRR, (2015)Resampling Strategies for Imbalanced Time Series., , and . DSAA, page 282-291. IEEE, (2016)SMOGN: a Pre-processing Approach for Imbalanced Regression, , and . First International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@PKDD/ECML 2017, 22 September 2017, Skopje, Macedonia, volume 74 of Proceedings of Machine Learning Research, page 36--50. PMLR, (2017)