1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2026★ 1 cited
Reimagining Anomalies: What If Anomalies Were Normal?
Philipp Liznerski, Saurabh Varshneya, Ece Calikus +5
Deep learning-based methods have achieved a breakthrough in image anomaly detection, but their complexity introduces a considerable challenge to understanding why an instance is pr…
cs.SI2025
MOUFLON: Multi-group Modularity-based Fairness-aware Community Detection
Georgios Panayiotou, Anand Mathew Muthukulam Simon, Matteo Magnani +1
In this paper, we propose MOUFLON, a fairness-aware, modularity-based community detection method that allows adjusting the importance of partition quality over fairness outcomes. M…