Chiara Balestra

According to our database, Chiara Balestra authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards Foundation Models for Consensus Rank Aggregation.

Yijun Jin, Simon Klüttermann, Chiara Balestra, Emmanuel Müller

CoRR, March, 2026

2024

Rankings and importance scores as multi-facets of explainable machine learning

Chiara Balestra

PhD thesis, 2024

Ranking evaluation metrics from a group-theoretic perspective.

Chiara Balestra, Andreas Mayr, Emmanuel Müller

CoRR, 2024

On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values.

Simon Klüttermann, Chiara Balestra, Emmanuel Müller

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

FairMC Fair-Markov Chain Rank Aggregation Methods.

Chiara Balestra, Antonio Ferrara, Emmanuel Müller

Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

2023

On the Consistency and Robustness of Saliency Explanations for Time Series Classification.

Chiara Balestra, Bin Li, Emmanuel Müller

CoRR, 2023

Redundancy-aware unsupervised rankings for collections of gene sets.

Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr

CoRR, 2023

slidSHAPs - sliding Shapley Values for correlation-based change detection in time series.

Chiara Balestra, Bin Li, Emmanuel Müller

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis.

Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr

CoRR, 2022

Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data.

Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller

Proceedings of the Big Data Analytics and Knowledge Discovery, 2022