Research output per year
Research output per year
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Dive into the research topics where Peter Stefan Müllner is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Establishing and evaluating trustworthy AI: overview and research challenges
Kowald, D., Scher, S., Pammer-Schindler, V., Müllner, P., Waxnegger, K., Demelius, L., Fessl, A., Toller, M., Mendoza Estrada, I. G., Šimić, I., Sabol, V., Trügler, A., Veas, E., Kern, R., Nad, T. & Kopeinik, S., 29 Nov 2024, In: Frontiers in Big Data. 7, 1467222.Research output: Contribution to journal › Review article › peer-review
Open Access -
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
Escobedo, G., Moscati, M., Muellner, P., Kopeinik, S., Kowald, D., Lex, E. & Schedl, M., 22 Aug 2024, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Proceedings. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 349-365 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14947 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
Müllner, P., Lex, E., Schedl, M. & Kowald, D., 2024, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 466-482 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14611 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Differential privacy in collaborative filtering recommender systems: a review
Müllner, P., Lex, E., Schedl, M. & Kowald, D., 2023, In: Frontiers in Big Data. 6, 1249997.Research output: Contribution to journal › Short survey › peer-review
Open Access -
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations
Müllner, P., Lex, E., Schedl, M. & Kowald, D., 12 Aug 2023, In: ACM Transactions on Intelligent Systems and Technology. 14, 5, 80.Research output: Contribution to journal › Article › peer-review
Open AccessFile