Byron C. Jaeger

According to our database, Byron C. Jaeger authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.

Sebastian Fischer, John Zobolas, Raphael Sonabend, Marc Becker, Michel Lang, Martin Binder, Lennart Schneider, Lukas Burk, Patrick Schratz, Byron C. Jaeger, Stephen A. Lauer, Lorenz A. Kapsner, Maximilian Mücke, Zezhi Wang, Damir Pulatov, Keenan Ganz, Henri Funk, Liana Harutyunyan, Pierre Camilleri, Philipp Kopper, Andreas Bender, Baisu Zhou, Niko German, Lona Koers, Anna Nazarova, Bernd Bischl

J. Open Source Softw., December, 2025

mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.

Sebastian Fischer, John Zobolas, Raphael Sonabend, Marc Becker, Michel Lang, Martin Binder, Lennart Schneider, Lukas Burk, Patrick Schratz, Byron C. Jaeger, Stephen A. Lauer, Lorenz A. Kapsner, Maximilian Mücke, Zezhi Wang, Damir Pulatov, Keenan Ganz, Henri Funk, Liana Harutyunyan, Pierre Camilleri, Philipp Kopper, Andreas Bender, Baisu Zhou, Niko German, Lona Koers, Anna Nazarova, Bernd Bischl

Dataset, November, 2025

A comparison of random forest variable selection methods for regression modeling of continuous outcomes.

Nathaniel S. O'Connell, Byron C. Jaeger, Garrett S. Bullock, Jaime Lynn Speiser

Briefings Bioinform., March, 2025

External validation of a proprietary risk model for 1-year mortality in community-dwelling adults aged 65 years or older.

Erica Frechman, Byron C. Jaeger, Marc Kowalkowski, Jeff D. Williamson, Kristin M. Lenoir, Jessica A Palakshappa, Brian J. Wells, Kathryn E. Callahan, Nicholas M. Pajewski, Jennifer L. Gabbard

J. Am. Medical Informatics Assoc., 2025

2024

Accelerated and Interpretable Oblique Random Survival Forests.

Byron C. Jaeger, Sawyer Welden, Kristin M. Lenoir, Jaime Lynn Speiser, Matthew W. Segar, Ambarish Pandey, Nicholas M. Pajewski

J. Comput. Graph. Stat., 2024

2022

aorsf: An R package for supervised learning using the oblique random survival forest.

Byron C. Jaeger, Sawyer Welden, Kristin M. Lenoir, Nicholas M. Pajewski

J. Open Source Softw., 2022

2020

When to Impute? Imputation before and during cross-validation.

Byron C. Jaeger, Nicholas J. Tierney, Noah R. Simon

CoRR, 2020