13 citations · 32 across the 12 of their papers we have counts for
4 papers · 1 filter
Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss
Arnaud Bougaham, Benoît Frénay
Anomaly Detection is a crucial step for critical applications such in the industrial, medical or cybersecurity domains. These sectors share the same requirement of handling differe…
An Experimental Investigation into the Evaluation of Explainability Methods
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack +7
EXplainable Artificial Intelligence (XAI) aims to help users to grasp the reasoning behind the predictions of an Artificial Intelligence (AI) system. Many XAI approaches have emerg…
DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality
Cristina Morariu, Adrien Bibal, Rene Cutura +2
A plethora of dimensionality reduction techniques have emerged over the past decades, leaving researchers and analysts with a wide variety of choices for reducing their data, all t…
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Pieter Delobelle, Paul Temple, Gilles Perrouin +3
Machine learning is being integrated into a growing number of critical systems with far-reaching impacts on society. Unexpected behaviour and unfair decision processes are coming u…