| Stopwords: Multilingual stopword lists K Benoit, D Muhr, K Watanabe R package version 2, 2021 | 90* | 2021 |
| Ensuring the robustness and reliability of data-driven knowledge discovery models in production and manufacturing S Tripathi, D Muhr, M Brunner, H Jodlbauer, M Dehmer, F Emmert-Streib Frontiers in artificial intelligence 4, 576892, 2021 | 41 | 2021 |
| Little data is often enough for distance-based outlier detection D Muhr, M Affenzeller Procedia Computer Science 200, 984-992, 2022 | 9 | 2022 |
| Large scale predictability analysis of process variables from injection molding machines S Tripathi, C Mittermayr, D Muhr, H Jodlbauer Procedia Computer Science 180, 545-560, 2021 | 9 | 2021 |
| A probabilistic transformation of distance-based outliers D Muhr, M Affenzeller, J Küng Machine Learning and Knowledge Extraction 5 (3), 782-802, 2023 | 6 | 2023 |
| Divide and conquer anomaly detection: A case study predicting defective engines D Muhr, S Tripathi, H Jodlbauer Procedia Manufacturing 42, 57-61, 2020 | 6 | 2020 |
| Outlier/anomaly detection of univariate time series: A dataset collection and benchmark D Muhr, M Affenzeller International Conference on Big Data Analytics and Knowledge Discovery, 163-169, 2022 | 5 | 2022 |
| OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language D Muhr, M Affenzeller, AD Blaom arXiv preprint arXiv:2211.04550, 2022 | 3 | 2022 |
| Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces D Muhr, M Affenzeller IFIP International Conference on Artificial Intelligence Applications and …, 2022 | 3 | 2022 |
| An adaptive machine learning methodology to determine manufacturing process parameters for each part D Muhr, S Tripathi, H Jodlbauer Procedia Computer Science 180, 764-771, 2021 | 2 | 2021 |
| Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles D Muhr, M Affenzeller, J Küng IFIP International Conference on Artificial Intelligence Applications and …, 2023 | | 2023 |
