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ORCIDTyler M. Tomita
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- affiliation: Johns Hopkins University, Institute for Computational Medicine,, Baltimore, MD, USA
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2020 – today
- 2023
[j3]Adam Li
, Ronan Perry, Chester Huynh, Tyler M. Tomita, Ronak Mehta, Jesús Arroyo, Jesse Patsolic, Benjamin Falk, Sridevi V. Sarma, Joshua T. Vogelstein:
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks. SIAM J. Math. Data Sci. 5(1): 77-96 (2023)- 2022
- [i5]Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - 2020
- [j2]Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein:
Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 21: 104:1-104:39 (2020) - [i4]Tyler M. Tomita, Joshua T. Vogelstein:
Robust Similarity and Distance Learning via Decision Forests. CoRR abs/2007.13843 (2020)
2010 – 2019
- 2019
- [c2]James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns:
Forest Packing: Fast Parallel, Decision Forests. SDM 2019: 46-54 - [i3]Ronan Perry, Tyler M. Tomita, Jesse Patsolic, Benjamin Falk, Joshua T. Vogelstein:
Manifold Forests: Closing the Gap on Neural Networks. CoRR abs/1909.11799 (2019) - 2018
- [i2]James Browne, Tyler M. Tomita, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein:
Forest Packing: Fast, Parallel Decision Forests. CoRR abs/1806.07300 (2018) - 2017
- [j1]David L. Masica, Marco Dal Molin, Christopher L. Wolfgang, Tyler M. Tomita, Mohammad R. Ostovaneh, Amanda Blackford, Robert A. Moran, Joanna K. Law, Thomas Barkley, Michael Goggins, Marcia Irene Canto, Meredith E. Pittman, James R. Eshleman, Syed Z. Ali, Elliot K. Fishman, Ihab R. Kamel, Siva P. Raman, Atif K. Zaheer, Nita Ahuja, Martin A. Makary, Matthew J. Weiss, Kenzo Hirose, John L. Cameron, Neda Rezaee, Jin He, Young Joon Ahn, Wenchuan Wu, Yuxuan Wang, Simeon Springer, Luis L. Diaz Jr., Nickolas Papadopoulos, Ralph H. Hruban, Kenneth W. Kinzler, Bert Vogelstein, Rachel Karchin, Anne Marie Lennon:
A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts. J. Am. Medical Informatics Assoc. 24(1): 145-152 (2017) - [c1]Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein:
ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations. SDM 2017: 498-506 - 2015
- [i1]Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein:
Randomer Forests. CoRR abs/1506.03410 (2015)
Coauthor Index
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