Publications

Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauss, Marcel Zentner, Eva Zangerle (2025). Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network. Transactions of the International Society for Music Information Retrieval (8).

Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle (2025). Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. Proceedings of the ACM on Web Conference 2025.

Simon Ewerz, Andreas Peintner (2024). Unternehmensleitung in der Aktiengesellschaft und Künstliche Intelligenz. wbl - Wirtschaftsrechtliche Blätter 2024, 697.

Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle (2024). Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. Proceedings of the 18th ACM Conference on Recommender Systems.

Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl (2024). Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization.

Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle (2024). Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search. ACM Transactions on Recommender Systems.

Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle (2023). SPARE - Shortest Path Global Item Relations for Efficient Session-based Recommendation. Proceedings of the 17th ACM Conference on Recommender Systems.

Andreas Peintner (2023). Sequential Recommendation Models - A Graph-based Perspective. Proceedings of the 17th ACM Conference on Recommender Systems.

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle (2022). Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. CARS: Workshop on Context-Aware Recommender Systems (RecSys ’22).

Leo Benning, Andreas Peintner, Lukas Peintner (2022). Advances in and the Applicability of Machine Learning-Based Screening and Early Detection Approaches for Cancer: A Primer. Cancers.