Dynamic Extensible Query Processing in Super-Peer Based P2P Systems. - Christian Wiesner; Alfons Kemper; Stefan Brandl (ICDE, 2004)

Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? - Oleg Lesota; Alessandro B. Melchiorre; Navid Rekabsaz; Stefan Brandl; Dominik Kowald; Elisabeth Lex; Markus Schedl (RecSys, 2021)

Investigating gender fairness of recommendation algorithms in the music domain. - Alessandro B. Melchiorre; Navid Rekabsaz; Emilia Parada-Cabaleiro; Stefan Brandl; Oleg Lesota; Markus Schedl (Inf. Process. Manag., 2021)

LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. - Markus Schedl; Stefan Brandl; Oleg Lesota; Emilia Parada-Cabaleiro; David Penz; Navid Rekabsaz (CHIIR, 2022)

Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. - Oleg Lesota; Emilia Parada-Cabaleiro; Stefan Brandl; Elisabeth Lex; Navid Rekabsaz; Markus Schedl (ISMIR, 2022)

Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. - Maximilian Mayerl; Stefan Brandl; Günther Specht; Markus Schedl; Eva Zangerle (ISMIR, 2022)

Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. - Oleg Lesota; Stefan Brandl; Matthias Wenzel; Alessandro B. Melchiorre; Elisabeth Lex; Navid Rekabsaz; Markus Schedl (MORS@RecSys, 2022)

Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training. - Gustavo Escobedo; Christian Ganhör; Stefan Brandl; Mirjam Augstein; Markus Schedl (BIAS, 2024)

The Importance of Cognitive Biases in the Recommendation Ecosystem. - Markus Schedl; Oleg Lesota; Stefan Brandl; Mohammad Lotfi; Gustavo Junior Escobedo Ticona; Shahed Masoudian (CoRR, 2024)