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Stefan Brandl
Stefan Brandl
Johannes Kepler University, Institute for Computational Perception
Verified email at jku.at
Title
Cited by
Cited by
Year
Investigating gender fairness of recommendation algorithms in the music domain
AB Melchiorre, N Rekabsaz, E Parada-Cabaleiro, S Brandl, O Lesota, ...
Information Processing & Management 58 (5), 102666, 2021
1542021
Analyzing item popularity bias of music recommender systems: are different genders equally affected?
O Lesota, A Melchiorre, N Rekabsaz, S Brandl, D Kowald, E Lex, ...
Proceedings of the 15th ACM conference on recommender systems, 601-606, 2021
752021
LFM-2b: A dataset of enriched music listening events for recommender systems research and fairness analysis
M Schedl, S Brandl, O Lesota, E Parada-Cabaleiro, D Penz, N Rekabsaz
Proceedings of the 2022 Conference on Human Information Interaction and …, 2022
582022
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization.
O Lesota, S Brandl, M Wenzel, AB Melchiorre, E Lex, N Rekabsaz, ...
MORS@ RecSys, 2022
172022
Song lyrics have become simpler and more repetitive over the last five decades
E Parada-Cabaleiro, M Mayerl, S Brandl, M Skowron, M Schedl, E Lex, ...
Scientific Reports 14 (1), 5531, 2024
162024
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms.
O Lesota, E Parada-Cabaleiro, S Brandl, E Lex, N Rekabsaz, M Schedl
ISMIR, 291-297, 2022
102022
Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition.
M Mayerl, S Brandl, G Specht, M Schedl, E Zangerle
ISMIR, 884-890, 2022
32022
LFM2b Lyrics Descriptor Analyses
E Parada-Cabaleiro, M Mayerl, S Brandl, M Skowron, M Schedl, E Lex, ...
12023
Mathematical optimization for vehicle trim in the high frequency range
S Brandl, I Hauer, A Glettler, HH Priebsch, T Bartosch
4th Styrian Noise, Vibration & Harshness Congress, 161-172, 2006
12006
The Importance of Cognitive Biases in the Recommendation Ecosystem
M Schedl, O Lesota, S Brandl, M Lotfi, GJE Ticona, S Masoudian
arXiv preprint arXiv:2408.12492, 2024
2024
Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training
G Escobedo, C Ganhör, S Brandl, M Augstein, M Schedl
International Workshop on Algorithmic Bias in Search and Recommendation, 91-102, 2024
2024
Author Correction: Song lyrics have become simpler and more repetitive over the last five decades
E Parada‑Cabaleiro, M Mayerl, S Brandl, M Skowron, M Schedl, E Lex, ...
Scientific Reports 14 (1), 11712, 2024
2024
INTERACTIVELY EXPLORING SIMILARITIES BETWEEN MUSIC GENRES BASED ON USER-GENERATED TAGS
S Brandl, M Schedl
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