Christopher T. Franck

According to our database, Christopher T. Franck authored at least 11 papers between 2013 and 2026.

Collaborative distances:

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

2026

Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function.

Amy Vennos, Xin Xing, Christopher T. Franck

CoRR, February, 2026

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

Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification.

Christopher T. Franck, Anne R. Driscoll, Zoe Szajnfarber, William H. Woodall

CoRR, October, 2025

Modular Jump Gaussian Processes.

Anna R. Flowers, Christopher T. Franck, Mickaël Binois, Chiwoo Park, Robert B. Gramacy

CoRR, May, 2025

Bayesian Model Selection with Latent Group-Based Effects and Variances with the R Package slgf.

Thomas A. Metzger, Christopher T. Franck

R J., 2025

2021

Detection of latent heteroscedasticity and group-based regression effects in linear models via Bayesian model selection.

Thomas A. Metzger, Christopher T. Franck

Technometrics, 2021

Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects.

Marco A. R. Ferreira, Erica M. Porter, Christopher T. Franck

Comput. Stat. Data Anal., 2021

Developing Hierarchies for Image Classification Model Evaluation.

Sami Wood, Erin Lanus, Daniel D. Doyle, Jeremy Ogorzalek, Christopher T. Franck, Laura J. Freeman

Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

2019

Detection of Hidden Additivity and Inference Under Model Uncertainty for Unreplicated Factorial Studies via Bayesian Model Selection and Averaging.

Christopher T. Franck

Technometrics, 2019

2016

Exploring Interaction Effects in Two-Factor Studies using the hiddenf Package in R.

Christopher T. Franck, Jason A. Osborne

R J., 2016

2013

A method for detecting hidden additivity in two-factor unreplicated experiments.

Christopher T. Franck, Dahlia M. Nielsen, Jason A. Osborne

Comput. Stat. Data Anal., 2013