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Carlos Mougan

2 accepted papers

2023

How to Data in Datathons

NeurIPS 2023poster

The rise of datathons, also known as data or data science hackathons, has provided a platform to collaborate, learn, and innovate quickly. Despite their significant potential benefits, organizations often struggle to effectively work with data due to a lack of clear guidelines and best practices for…

Cited by 5SourcePDFScholar
2023

Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap

AAAI 2023technical

Monitoring machine learning models once they are deployed is challenging. It is even more challenging to decide when to retrain models in real-case scenarios when labeled data is beyond reach, and monitoring performance metrics becomes unfeasible. In this work, we use non-parametric bootstrapped unc…