15 citations · 17 across the 7 of their papers we have counts for
3 papers · 1 filter
Towards Foundation Models for Consensus Rank Aggregation
Yijun Jin, Simon Klüttermann, Chiara Balestra +1
Aggregating a consensus ranking from multiple input rankings is a fundamental problem with applications in recommendation systems, search engines, job recruitment, and elections. D…
On the Consistency and Robustness of Saliency Explanations for Time Series Classification
Chiara Balestra, Bin Li, Emmanuel Müller
Interpretable machine learning and explainable artificial intelligence have become essential in many applications. The trade-off between interpretability and model performance is t…
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
Chiara Balestra, Florian Huber, Andreas Mayr +1
Not all real-world data are labeled, and when labels are not available, it is often costly to obtain them. Moreover, as many algorithms suffer from the curse of dimensionality, red…