Session TA-49: Fair and Interpretable Machine Learning in stream Analytics
Tuesday, 8:30-10:00Room: Parkinson B10
| Session chair(s): |
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| 2617. Algorithmic Fairness on Imbalanced Datasets |
Yujia Chen
[R] - United Kingdom | accepted | ||
| Raffaella Calabrese
[] - United Kingdom | ||||
| 1602. Fairness stability and its connections with explainability |
Pablo Casas
[R] - United Kingdom | accepted | ||
| Huan Yu
[] - United Kingdom | ||||
| Christophe Mues
[] - United Kingdom | ||||
| 1935. Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring |
Sébastien Saurin
[R] - France | accepted | ||
| Sullivan Hué
[] - France | ||||
| Christophe Hurlin
[] - France | ||||
| Christophe Pérignon
[] - France | ||||
| 2986. Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models |
Nico Hambauer
[R] - Germany | accepted | ||
| Sven Kruschel
[] - Germany | ||||
| Sven Weinzierl
[R] - Germany | ||||
| Sandra Zilker
[] - Germany | ||||
| Mathias Kraus
[] - Germany | ||||
| Patrick Zschech
[] - Germany | ||||