| Support the underground: characteristics of beyond-mainstream music listeners D Kowald, P Muellner, E Zangerle, C Bauer, M Schedl, E Lex EPJ Data Science 10 (1), 14, 2021 | 62 | 2021 |
| Establishing and evaluating trustworthy AI: overview and research challenges D Kowald, S Scher, V Pammer-Schindler, P Müllner, K Waxnegger, ... Frontiers in Big Data 7, 1467222, 2024 | 41 | 2024 |
| ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald ACM Transactions on Intelligent Systems and Technology 14 (5), 1-29, 2023 | 31 | 2023 |
| Differential Privacy in Collaborative Filtering Recommender Systems: A Review P Müllner, E Lex, M Schedl, D Kowald Frontiers in Big Data 6, 1249997, 2023 | 30 | 2023 |
| Robustness of meta matrix factorization against strict privacy constraints P Muellner, D Kowald, E Lex European Conference on Information Retrieval, 107-119, 2021 | 27 | 2021 |
| The impact of differential privacy on recommendation accuracy and popularity bias P Müllner, E Lex, M Schedl, D Kowald European Conference on Information Retrieval, 466-482, 2024 | 22 | 2024 |
| Making alice appear like bob: A probabilistic preference obfuscation method for implicit feedback recommendation models G Escobedo, M Moscati, P Muellner, S Kopeinik, D Kowald, E Lex, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 8 | 2024 |
| AI-Powered immersive assistance for interactive task execution in industrial environments T Duricic, P MÞllner, N Weidinger, N ElSayed, D Kowald, E Veas arXiv preprint arXiv:2407.09147, 2024 | 8 | 2024 |
| Towards employing recommender systems for supporting data and algorithm sharing P Müllner, S Schmerda, D Theiler, S Lindstaedt, D Kowald Proceedings of the 1st International Workshop on Data Economy, 8-14, 2022 | 6 | 2022 |
| User privacy in recommender systems P Müllner European Conference on Information Retrieval, 456-461, 2023 | 5 | 2023 |
| Studying non-mainstream music listening behavior for fair music recommendations P Müllner Ph. D. Dissertation. Graz University of Technology, 2019 | 2 | 2019 |
| Multistakeholder fairness in tourism: what can algorithms learn from tourism management? P Müllner, A Schreuer, S Kopeinik, B Wieser, D Kowald Frontiers in big Data 8, 1632766, 2025 | 1 | 2025 |
| Position paper on simulating privacy dynamics in recommender systems P Müllner, E Lex, D Kowald arXiv preprint arXiv:2109.06473, 2021 | 1 | 2021 |
| ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations P Müllner, M Schedl, E Lex, D Kowald arXiv preprint arXiv:2206.11561, 2022 | | 2022 |
| D3. 13 Profiles and Brokerage II D Kowald, D Theiler, P Müllner, E Lacic Nature 31, 12, 2022 | | 2022 |
| D3. 12 Profiles and Brokerage D Kowald, D Theiler, P Müllner, S Schmerda Nature 30, 06, 2021 | | 2021 |
Dominik KowaldProfessor @ University of Graz, Research Area Head @ Know Center, PhD & Habilitation @ TU GrazVerified email at tugraz.at
