Justin Krometis

According to our database, Justin Krometis authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models.

Anna R. Flowers, Christopher T. Franck, Robert B. Gramacy, Justin A. Krometis

CoRR, December, 2025

2024

Uncertainty Quantification in Data Fusion Classifier for Ship-Wake Detection.

Maice Costa, Daniel Sobien, Ria Garg, Winnie Cheung, Justin Krometis, Justin A. Kauffman

Remote. Sens., 2024

2023

A numerical comparison of simplified Galerkin and machine learning reduced order models for vaginal deformations.

William Snyder, Alex Santiago Anaya, Justin Krometis, Traian Iliescu, Raffaella De Vita

Comput. Math. Appl., December, 2023

2022

Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space.

Daniel Sobien, Erik Higgins, Justin Krometis, Justin A. Kauffman, Laura J. Freeman

Mach. Learn. Knowl. Extr., 2022

2020

A Bayesian Approach to Estimating Background Flows from a Passive Scalar.

Jeff Borggaard, Nathan E. Glatt-Holtz, Justin Krometis

SIAM/ASA J. Uncertain. Quantification, 2020

On the accept-reject mechanism for Metropolis-Hastings algorithms.

Nathan E. Glatt-Holtz, Justin A. Krometis, Cecilia F. Mondaini

CoRR, 2020

2019

GPU-accelerated particle methods for evaluation of sparse observations for inverse problems constrained by diffusion PDEs.

Jeff Borggaard, Nathan E. Glatt-Holtz, Justin Krometis

J. Comput. Phys., 2019