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.