Gilmer Valdes

According to our database, Gilmer Valdes authored at least 10 papers between 2017 and 2026.

Collaborative distances:

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

2026

Clinical Reasoning AI for Oncology Treatment Planning: A Multi-Specialty Case-Based Evaluation.

Philippe E. Spiess, Muntasir Zitu, Alison Walker, Daniel A. Anaya, Robert M. Wenham, Michael Vogelbaum, Daniel Grass, Ali-Musa Jaffer, Amod Sarnaik, Caitlin McMullen, Christine Sam, John V. Kiluk, Tianshi Liu, Tiago Biachi, Julio Powsang, Jing-Yi Chern, Roger Li, Seth Felder, Samuel Reynolds, Michael Shafique, Alison Sheehan, Ashley Layman, Cydney A. Warfield, Derrick Legoas, Jaclyn Parrinello, Jena Schmitz, Kevin Eaton, Mark Honor, Luis Felipe, Issam El Naqa, Elier Delgado, Talia Berler, Rachael V. Phillips, Frantz Francisque, Carlos García Fernández, Gilmer Valdes

CoRR, April, 2026

2025

Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK.

Carlos García Fernández, Luis Felipe, Monique Shotande, Muntasir Zitu, Aakash Tripathi, Ghulam Rasool, Issam El Naqa, Vivek Rudrapatna, Gilmer Valdes

CoRR, June, 2025

TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet.

Luis Felipe, Carlos Garcia, Issam El Naqa, Monique Shotande, Aakash Tripathi, Vivek Rudrapatna, Ghulam Rasool, Danielle S. Bitterman, Gilmer Valdes

CoRR, April, 2025

2022

The Conditional Super Learner.

Gilmer Valdes, Yannet Interian, Efstathios D. Gennatas, Mark J. van der Laan

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Representational Gradient Boosting: Backpropagation in the Space of Functions.

Gilmer Valdes, Jerome H. Friedman, Fei Jiang, Efstathios D. Gennatas

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Lockout: Sparse Regularization of Neural Networks.

Gilmer Valdes, Wilmer Arbelo, Yannet Interian, Jerome H. Friedman

CoRR, 2021

2020

Integration of AI and Machine Learning in Radiotherapy QA.

Maria F. Chan, Alon Witztum, Gilmer Valdes

Frontiers Artif. Intell., 2020

2019

Training Deep Learning models with small datasets.

Miguel Romero, Yannet Interian, Timothy D. Solberg, Gilmer Valdes

CoRR, 2019

Expert-Augmented Machine Learning.

Efstathios D. Gennatas, Jerome H. Friedman, Lyle H. Ungar, Romain Pirracchio, Eric Eaton, L. Reichman, Yannet Interian, Charles B. Simone II, A. Auerbach, E. Delgado, Mark J. van der Laan, Timothy D. Solberg, Gilmer Valdes

CoRR, 2019

2017

Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees.

José-Marcio Luna, Eric Eaton, Lyle H. Ungar, Eric S. Diffenderfer, Shane T. Jensen, Efstathios D. Gennatas, Mateo Wirth, Charles B. Simone II, Timothy D. Solberg, Gilmer Valdes

CoRR, 2017