Randomer Forests. - Tyler M. Tomita; Mauro Maggioni; Joshua T. Vogelstein (CoRR, 2015)

ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations. - Tyler M. Tomita; Mauro Maggioni; Joshua T. Vogelstein (SDM, 2017)

A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts. - 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; et al. (J. Am. Medical Informatics Assoc., 2017)

Forest Packing: Fast Parallel, Decision Forests. - James Browne; Disa Mhembere; Tyler M. Tomita; Joshua T. Vogelstein; Randal C. Burns (SDM, 2019)

Manifold Forests: Closing the Gap on Neural Networks. - Ronan Perry; Tyler M. Tomita; Jesse Patsolic; Benjamin Falk; Joshua T. Vogelstein (CoRR, 2019)

Robust Similarity and Distance Learning via Decision Forests. - Tyler M. Tomita; Joshua T. Vogelstein (CoRR, 2020)

Sparse Projection Oblique Randomer Forests. - 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 (J. Mach. Learn. Res., 2020)

Prospective Learning: Back to the Future. - 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; et al. (CoRR, 2022)

Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks. - Adam Li; Ronan Perry; Chester Huynh; Tyler M. Tomita; Ronak Mehta; Jesús Arroyo 001; Jesse Patsolic; Benjamin Falk; Sridevi V. Sarma; Joshua T. Vogelstein (SIAM J. Math. Data Sci., 2023)