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, 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.
Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle
(2021).
Recognizing Song Mood and Theme: Clustering-based Ensembles.
Working Notes Proceedings of the MediaEval 2021 Workshop.
Leo Benning, Andreas Peintner, Günter Finkenzeller, Lukas Peintner
(2020).
Automated spheroid generation, drug application and efficacy screening using a deep learning classification: a feasibility study.
Scientific Reports.