| Multistability in lossy power grids and oscillator networks C Balestra, F Kaiser, D Manik, D Witthaut Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019 | 18 | 2019 |
| Enabling the Visualization of Distributional Shift using Shapley Values B Li, C Balestra, E Müller NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 3 | 2022 |
| Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data C Balestra, F Huber, A Mayr, E Müller 24th International Conference on Big Data Analytics and Knowledge Discovery …, 2022 | 3 | 2022 |
| Redundancy-aware unsupervised ranking based on game theory: Ranking pathways in collections of gene sets C Balestra, C Maj, E Müller, A Mayr Plos one 18 (3), e0282699, 2023 | 2* | 2023 |
| On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values S Klüttermann, C Balestra, E Müller Pacific-Asia Conference on Knowledge Discovery and Data Mining, 43-55, 2024 | | 2024 |
| slidSHAPs–sliding Shapley Values for correlation-based change detection in time series C Balestra, B Li, E Müller 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | | 2023 |
| On the Consistency and Robustness of Saliency Explanations for Time Series Classification C Balestra, B Li, E Müller KDD 2023, 9th International Workshop on Mining and Learning from Time Series …, 2023 | | 2023 |
| Redundancy-aware unsupervised rankings for collections of gene sets C Balestra, C Maj, E Müller, A Mayr KDD 2023, 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD), 2023 | | 2023 |
| Program Committee DSAA’2022 A Rodriguez, A Leite, AM Fard, A Chaturvedi, A Mondal, A Beer, ... | | |
| Program Committee DSAA'23 ME Ali, G Al-Tameemi, C Balestra, R Baskaran, A Beer, F Cai, L Cao, ... | | |
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerified email at cs.tu-dortmund.de
