EmoMTB: Emotion-aware Music Tower Blocks. - Alessandro B. Melchiorre; David Penz; Christian Ganhör; Oleg Lesota; Vasco Fragoso; Florian Friztl; Emilia Parada-Cabaleiro; Franz Schubert; Markus Schedl (ICMR, 2022)

ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations. - Alessandro B. Melchiorre; Navid Rekabsaz; Christian Ganhör; Markus Schedl (RecSys, 2022)

Unlearning Protected User Attributes in Recommendations with Adversarial Training. - Christian Ganhör; David Penz; Navid Rekabsaz; Oleg Lesota; Markus Schedl (SIGIR, 2022)

Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation. - Alessandro B. Melchiorre; David Penz; Christian Ganhör; Oleg Lesota; Vasco Fragoso; Florian Fritzl; Emilia Parada-Cabaleiro; Franz Schubert; Markus Schedl (Int. J. Multim. Inf. Retr., 2023)

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)

A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios. - Christian Ganhör; Marta Moscati; Anna Hausberger; Shah Nawaz; Markus Schedl (RecSys, 2024)