| From distance correlation to multiscale graph correlation C Shen, CE Priebe, JT Vogelstein Journal of the American Statistical Association, 1-22, 2019 | 52 | 2019 |
| Sparse projection oblique randomer forests TM Tomita, J Browne, C Shen, J Chung, JL Patsolic, B Falk, CE Priebe, ... The Journal of Machine Learning Research 21 (1), 4193-4231, 2020 | 39* | 2020 |
| Generalized canonical correlation analysis for classification C Shen, M Sun, M Tang, CE Priebe Journal of Multivariate Analysis 130, 310-322, 2014 | 33 | 2014 |
| The exact equivalence of distance and kernel methods in hypothesis testing C Shen, JT Vogelstein AStA Advances in Statistical Analysis 105, 385-403, 2021 | 32 | 2021 |
| Discovering and deciphering relationships across disparate data modalities JT Vogelstein, EW Bridgeford, Q Wang, CE Priebe, M Maggioni, C Shen Elife 8, e41690, 2019 | 32 | 2019 |
| The chi-square test of distance correlation C Shen, S Panda, JT Vogelstein Journal of Computational and Graphical Statistics 31 (1), 254-262, 2022 | 30 | 2022 |
| Network dependence testing via diffusion maps and distance-based correlations Y Lee, C Shen, CE Priebe, JT Vogelstein Biometrika 106 (4), 857-873, 2019 | 24 | 2019 |
| Robust vertex classification L Chen, C Shen, JT Vogelstein, CE Priebe IEEE transactions on pattern analysis and machine intelligence 38 (3), 578-590, 2015 | 20 | 2015 |
| hyppo: A Multivariate Hypothesis Testing Python Package S Panda, S Palaniappan, J Xiong, EW Bridgeford, R Mehta, C Shen, ... arXiv preprint arXiv:1907.02088, 2019 | 15* | 2019 |
| Sparse representation classification beyond ℓ1 minimization and the subspace assumption C Shen, L Chen, Y Dong, CE Priebe IEEE Transactions on Information Theory 66 (8), 5061-5071, 2020 | 14 | 2020 |
| Manifold matching using shortest-path distance and joint neighborhood selection C Shen, JT Vogelstein, CE Priebe Pattern Recognition Letters 92, 41-48, 2017 | 13 | 2017 |
| Nonpar manova via independence testing S Panda, C Shen, R Perry, J Zorn, A Lutz, CE Priebe, JT Vogelstein arXiv preprint arXiv:1910.08883, 2019 | 12* | 2019 |
| Signal subgraph estimation via iterative vertex screening S Wang, C Shen, A Badea, CE Priebe, JT Vogelstein arXiv, 1801 | 12* | 1801 |
| On the incommensurability phenomenon DE Fishkind, C Shen, Y Park, CE Priebe Journal of Classification 33, 185-209, 2016 | 6 | 2016 |
| Independence Testing for Multivariate Time Series R Mehta, J Chung, C Shen, T Xu, JT Vogelstein arXiv preprint arXiv:1908.06486, 2019 | 5* | 2019 |
| Graph independence testing J Xiong, C Shen, J Arroyo, JT Vogelstein arXiv preprint arXiv:1906.03661, 2019 | 5 | 2019 |
| Estimating informationtheoretic quantities with random forests R Mehta, R Guo, C Shen, J Vogelstein arXiv preprint arXiv:1907.00325, 2019 | 5 | 2019 |
| Estimating information-theoretic quantities with uncertainty forests R Guo, R Mehta, J Arroyo, H Helm, C Shen, JT Vogelstein arXiv, arXiv: 1907.00325, 2019 | 4* | 2019 |
| Decision forests induce characteristic kernels C Shen, JT Vogelstein arXiv preprint arXiv:1812.00029, 2018 | 4 | 2018 |
| One-Hot Graph Encoder Embedding C Shen, Q Wang, CE Priebe IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 3* | 2022 |
Joshua T. VogelsteinDept of Biomedical Engineering, Johns Hopkins UniversityПотвърден имейл адрес: jhu.edu
