Mayrhofer, M., Radojicic, U., & Filzmoser, P. (2024). A minimum covariance determinant approach for matrix-variate data. In Statistische Woche 2024: Book of Abstracts (pp. 88–88). ( reposiTUm)

Mayrhofer, M., & Filzmoser, P. (2023). Explainable outlier detection based on Shapley values. In PROGRAMME AND ABSTRACTS 25th International Conference on Computational Statistics (COMPSTAT 2023) (pp. 13–14). ( reposiTUm)

Mayrhofer, M., Rieser, C., & Filzmoser, P. (2023). L0 Regularized Cellwise Outlier Detection and Covariance Estimation. In Book of abstracts: Joint conference of Data Science, Statistics & Visualisation and the European Conference on Data Analysis (pp. 95–95). ( reposiTUm)

Mayrhofer, M., & Filzmoser, P. (2023). Explainable Multivariate Outlier Detection based on Shapley Values. In Book of Abstracts Olomoucian Days of Applied Mathematics ODAM 2023 (pp. 53–53). ( reposiTUm)

Filzmoser, P., Mayrhofer, M., Radojicic, U., & Lewitschnig, H. (2023). Explainable outlier identification for matrix-valued observations. In Book of Abstracts : International Conference on Data Science : ICDS 2023 : Multidimensional Perspectives: From Statistical Learning to Data Science Applications (pp. 13–13). http://hdl.handle.net/20.500.12708/190530 ( reposiTUm)

Mayrhofer, M., Radojicic, U., & Filzmoser, P. (2024, August 13). Robust covariance estimation for matrix-valued data [Conference Presentation]. Bernoulli-ims 11th World Congress in Probability and Statistics, Bochum, Germany. ( reposiTUm)

Mayrhofer, M., Radojicic, U., & Filzmoser, P. (2024, April 4). Explainable anomaly detection using Shapley values [Conference Presentation]. Statistiktage 2024, Wien, Austria. ( reposiTUm)

Mayrhofer, M., Radojicic, U., Lewitschnig, H., & Filzmoser, P. (2023, May 24). Outlier detection and explanation for matrix-valued data [Conference Presentation]. International Conference on Robust Statistics (ICORS) - 2023, Toulouse, France. http://hdl.handle.net/20.500.12708/192117 ( reposiTUm)

Mayrhofer, M., Lewitschnig, H., & Filzmoser, P. (2023, October 19). New Mission Profile Model Using Functional Data Analysis [Poster Presentation]. Infineon meets University 2023, Germany. http://hdl.handle.net/20.500.12708/192440 ( reposiTUm)

Mayrhofer, M., & Filzmoser, P. (2022, July 6). Outlier explanation using Shapley values and Mahalanobis distances [Conference Presentation]. International Conference on Robust Statistics (ICORS 2022), Waterloo, Canada. ( reposiTUm)

Filzmoser, P. (2022, July 5). Robust multinomial regression in high dimensions [Conference Presentation]. International Conference on Robust Statistics (ICORS 2022), Waterloo, Canada. ( reposiTUm)

Mayrhofer, M., & Filzmoser, P. (2022). Multivariate outlier explanations using Shapley values and Mahalanobis distances. arXiv. https://doi.org/10.34726/3163 ( reposiTUm)