Search Results for author: Line Pouchard

Found 2 papers, 0 papers with code

A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows

no code implementations13 Jan 2023 Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, Byung-Jun Yoon

The ability to replicate predictions by machine learning (ML) or artificial intelligence (AI) models and results in scientific workflows that incorporate such ML/AI predictions is driven by numerous factors.

Uncertainty Quantification

Figure Descriptive Text Extraction using Ontological Representation

no code implementations11 Aug 2022 Gilchan Park, Julia Rayz, Line Pouchard

Experimental research publications provide figure form resources including graphs, charts, and any type of images to effectively support and convey methods and results.

Descriptive Sentence +1

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