Publications by authors named "Marie-Helene Masson"
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Synopsis of recent research by authors named "Marie-Helene Masson"
- Marie-Helene Masson's research focuses on developing advanced methodologies for evaluating classifiers in machine learning, particularly exploring the challenges of indeterminate classifiers that can predict multiple classes under uncertainty.
- Her article "The Costs of Indeterminacy" highlights the difficulty in assessing the performance of these classifiers, especially when traditional error cost evaluations are not applicable.
- Masson also introduced a novel relational clustering method, EVCLUS, utilizing Dempster-Shafer theory, which enhances data analysis by providing a more nuanced understanding of object dissimilarities through basic belief assignments.
