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stat.ML2025
Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models
Anna R. Flowers, Christopher T. Franck, Robert B. Gramacy +1
Collecting operationally realistic data to inform machine learning models can be costly. Before collecting new data, it is helpful to understand where a model is deficient. For exa…
stat.ML2025
Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification
Christopher T. Franck, Anne R. Driscoll, Zoe Szajnfarber +1
Machine learning approaches for image classification have led to impressive advances in that field. For example, convolutional neural networks are able to achieve remarkable image…