| A combination of molecular markers and clinical features improve the classification of pancreatic cysts S Springer, Y Wang, M Dal Molin, DL Masica, Y Jiao, I Kinde, A Blackford, ... Gastroenterology 149 (6), 1501-1510, 2015 | 442 | 2015 |
| Endothelial inflammation correlates with subject triglycerides and waist size after a high-fat meal YI Wang, J Schulze, N Raymond, T Tomita, K Tam, SI Simon, ... American Journal of Physiology-Heart and Circulatory Physiology 300 (3 …, 2011 | 73 | 2011 |
| Myosin II activity dependent and independent vinculin recruitment to the sites of E-cadherin-mediated cell-cell adhesion GM Sumida, TM Tomita, W Shih, S Yamada BMC cell biology 12, 1-9, 2011 | 54 | 2011 |
| Sparse projection oblique randomer forests TM Tomita, J Browne, C Shen, J Chung, JL Patsolic, B Falk, CE Priebe, ... Journal of machine learning research 21 (104), 1-39, 2020 | 47* | 2020 |
| A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts DL Masica, M Dal Molin, CL Wolfgang, T Tomita, MR Ostovaneh, ... Journal of the American Medical Informatics Association 24 (1), 145-152, 2017 | 43 | 2017 |
| Selected reaction monitoring approach for validating peptide biomarkers Q Wang, M Zhang, T Tomita, JT Vogelstein, S Zhou, N Papadopoulos, ... Proceedings of the National Academy of Sciences 114 (51), 13519-13524, 2017 | 37 | 2017 |
| Social-affective features drive human representations of observed actions DC Dima, TM Tomita, CJ Honey, L Isik Elife 11, e75027, 2022 | 25 | 2022 |
| Forest packing: Fast parallel, decision forests J Browne, D Mhembere, TM Tomita, JT Vogelstein, R Burns Proceedings of the 2019 SIAM International Conference on Data Mining, 46-54, 2019 | 21 | 2019 |
| Roflmao: Robust oblique forests with linear matrix operations TM Tomita, M Maggioni, JT Vogelstein Proceedings of the 2017 SIAM International Conference on Data Mining, 498-506, 2017 | 18 | 2017 |
| Randomer forests TM Tomita, M Maggioni, JT Vogelstein arXiv preprint arXiv:1506.03410, 74, 2015 | 15 | 2015 |
| The similarity structure of real-world memories TM Tomita, MD Barense, CJ Honey bioRxiv, 2021.01. 28.428278, 2021 | 13 | 2021 |
| Prospective learning: Back to the future JT Vogelstein, T Verstynen, KP Kording, L Isik, JW Krakauer, ... arXiv e-prints, arXiv: 2201.07372, 2022 | 5 | 2022 |
| Representation ensembling for synergistic lifelong learning with quasilinear complexity JT Vogelstein, J Dey, HS Helm, W LeVine, RD Mehta, TM Tomita, H Xu, ... arXiv preprint arXiv:2004.12908, 2020 | 5 | 2020 |
| Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks A Li, R Perry, C Huynh, TM Tomita, R Mehta, J Arroyo, J Patsolic, B Falk, ... arXiv preprint arXiv:1909.11799, 2019 | 3* | 2019 |
| Manifold forests: closing the gap on neural networks R Perry, TM Tomita, J Patsolic, B Falk, J Vogelstein | 3 | 2019 |
| A data-driven investigation of human action representations DC Dima, MN Hebart, L Isik Scientific Reports 13 (1), 5171, 2023 | 2 | 2023 |
| The representational space of action perception DC Dima, T Tomita, C Honey, L Isik Journal of Vision 20 (11), 1161-1161, 2020 | 2 | 2020 |
| Endothelial inflammation correlates with subject triglycerides and waist size following a high fat meal YI Wang, J Schulze, N Raymond, T Tomita, K Tam, SI Simon, ... Am J Physiol Heart Circ Physiol, 2010 | 1 | 2010 |
| Deep Discriminative to Kernel Generative Networks for Calibrated Inference J Dey, H Xu, A De Silva, W LeVine, TM Tomita, A Geisa, T Chu, ... | | 2023 |
| Deep Discriminative to Kernel Density Graph for In-and Out-of-distribution Calibrated Inference J Dey, W LeVine, A De Silva, H Xu, TM Tomita, A Geisa, J Desman, ... arXiv preprint arXiv:2201.13001, 2022 | | 2022 |
