| Classification of short single-lead electrocardiograms (ECGs) for atrial fibrillation detection using piecewise linear spline and XGBoost Y Chen, X Wang, Y Jung, V Abedi, R Zand, M Bikak, M Adibuzzaman Physiological measurement 39 (10), 104006, 2018 | 41 | 2018 |
| Detection of PVC by using a wavelet-based statistical ECG monitoring procedure Y Jung, H Kim Biomedical Signal Processing and Control 36, 176-182, 2017 | 37 | 2017 |
| Estimating Identifiable Causal Effects through Double Machine Learning Y Jung, J Tian, E Bareinboim Proceedings of the 35th AAAI Conference on Artificial Intelligence 35, 2021 | 35 | 2021 |
| Learning Causal Effects via Weighted Empirical Risk Minimization Y Jung, J Tian, E Bareinboim Proceedings of the 34th Annual Conference on Neural Information Processing …, 2020 | 31 | 2020 |
| Estimating Causal Effects Using Weighting-Based Estimators Y Jung, J Tian, E Bareinboim Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020, 2020 | 31 | 2020 |
| On measuring causal contributions via do-interventions Y Jung, S Kasiviswanathan, J Tian, D Janzing, P Blöbaum, E Bareinboim International Conference on Machine Learning, 10476-10501, 2022 | 12 | 2022 |
| Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning Y Jung, J Tian, E Bareinboim Proceedings of the 38th International Conference on Machine Learning, 2021 | 12 | 2021 |
| Double Machine Learning Density Estimation for Local Treatment Effects with Instruments Y Jung, J Tian, E Bareinboim Proceedings of the 35th Annual Conference on Neural Information Processing …, 2021 | 5 | 2021 |
| Estimating Joint Treatment Effects by Combining Multiple Experiments Y Jung, J Tian, E Bareinboim International Conference on Machine Learning, 15451-15527, 2023 | 1 | 2023 |
| Estimating Causal Effects Identifiable from a Combination of Observations and Experiments Y Jung, I Díaz, J Tian, E Bareinboim | | 2023 |
Elias BareinboimColumbia UniversityVerified email at columbia.edu
