Peter Müllner

20 papers A 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multistakeholder fairness in tourism: what can algorithms learn from tourism management?
Frontiers Big Data
Peter Müllner, Anna Schreuer, Simone Kopeinik, Bernhard Wieser, Dominik Kowald
2024 A conf
AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments.
ECAI
Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas
2024 J jnl
AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments.
CoRR
Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas
2024 J jnl
Differential privacy in collaborative filtering recommender systems: a review.
Frontiers Big Data
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024 J jnl
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges.
CoRR
Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
2024 J jnl
Establishing and evaluating trustworthy AI: overview and research challenges.
Frontiers Big Data
Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
2024 — conf
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias.
ECIR (4)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024 J jnl
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias.
CoRR
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2023 J jnl
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations.
ACM Trans. Intell. Syst. Technol.
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2023 — conf
User Privacy in Recommender Systems.
ECIR (3)
Peter Müllner
2022 — conf
Innovation Farm - Innovative Technologien für die Landwirtschaft erlebbar machen.
GIL Jahrestagung
Markus Gansberger, Christian Fasching, Christoph Berndl, Martin Hirt, Peter Müllner, Franz Handler
2022 J jnl
ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations.
CoRR
Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald
2022 J jnl
Towards Employing Recommender Systems for Supporting Data and Algorithm Sharing.
CoRR
Peter Müllner, Stefan Schmerda, Dieter Theiler, Stefanie N. Lindstaedt, Dominik Kowald
2022 — conf
Towards employing recommender systems for supporting data and algorithm sharing.
DE@CoNEXT
Peter Müllner, Stefan Schmerda, Dieter Theiler, Stefanie N. Lindstaedt, Dominik Kowald
2021 J jnl
Position Paper on Simulating Privacy Dynamics in Recommender Systems.
CoRR
Peter Müllner, Elisabeth Lex, Dominik Kowald
2021 — conf
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints.
ECIR (2)
Peter Müllner, Dominik Kowald, Elisabeth Lex
2021 J jnl
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints.
CoRR
Peter Müllner, Dominik Kowald, Elisabeth Lex
2021 J jnl
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners.
CoRR
Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
2021 J jnl
Support the underground: characteristics of beyond-mainstream music listeners.
EPJ Data Sci.
Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
2012 — conf
Application of image processing to track twin boundary motion in magnetic shape memory alloys.
Image Processing: Machine Vision Applications
Adrian Rothenbuhler, Elisa H. Barney Smith, Peter Müllner