Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. - Chiara Balestra; Florian Huber; Andreas Mayr; Emmanuel Müller (DaWaK, 2022)

Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis. - Chiara Balestra; Carlo Maj; Emmanuel Müller; Andreas Mayr (CoRR, 2022)

slidSHAPs - sliding Shapley Values for correlation-based change detection in time series. - Chiara Balestra; Bin Li 089; Emmanuel Müller (DSAA, 2023)

Redundancy-aware unsupervised rankings for collections of gene sets. - Chiara Balestra; Carlo Maj; Emmanuel Müller; Andreas Mayr (CoRR, 2023)

On the Consistency and Robustness of Saliency Explanations for Time Series Classification. - Chiara Balestra; Bin Li 089; Emmanuel Müller (CoRR, 2023)

FairMC Fair-Markov Chain Rank Aggregation Methods. - Chiara Balestra; Antonio Ferrara 003; Emmanuel Müller (DaWaK, 2024)

On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. - Simon Klüttermann; Chiara Balestra; Emmanuel Müller (PAKDD (3), 2024)

Ranking evaluation metrics from a group-theoretic perspective. - Chiara Balestra; Andreas Mayr; Emmanuel Müller (CoRR, 2024)

Rankings and importance scores as multi-facets of explainable machine learning - Chiara Balestra (2024)