Tyler M. Tomita

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 9

Top Topics

Decision Forest

Top Venues

SIAM J. Math. Data Sci.

J. Mach. Learn. Res.

Publications

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) (2023)
Joshua T. Vogelstein, Timothy 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 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 (2022)
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 (2020)
Tyler M. Tomita, Joshua T. Vogelstein
Robust Similarity and Distance Learning via Decision Forests. CoRR (2020)
James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns
Forest Packing: Fast Parallel, Decision Forests. SDM (2019)
Ronan Perry, Tyler M. Tomita, Jesse Patsolic, Benjamin Falk, Joshua T. Vogelstein
Manifold Forests: Closing the Gap on Neural Networks. CoRR (2019)
James Browne, Tyler M. Tomita, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein
Forest Packing: Fast, Parallel Decision Forests. CoRR (2018)
Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein
ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations. SDM (2017)
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) (2017)
Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein
Randomer Forests. CoRR (2015)