Marta Moscati

According to our database, Marta Moscati authored at least 30 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SB-BEVFusion: Enhancing the Robustness against Sensor Malfunction and Corruptions.

Markus Essl, Marta Moscati, Mubashir Noman, Muhammad Zaigham Zaheer, Usman Naseem, Shah Nawaz, Markus Schedl

CoRR, May, 2026

POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan.

Marta Moscati, Muhammad Saad Saeed, Marina Zanoni, Mubashir Noman, Rohan Kumar Das, Monorama Swain, Yufang Hou, Elisabeth André, Khalid Mahmood Malik, Markus Schedl, Shah Nawaz

CoRR, March, 2026

Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems.

Zihan Li, Gustavo Escobedo, Marta Moscati, Oleg Lesota, Markus Schedl

CoRR, February, 2026

Face-Voice Association with Inductive Bias for Maximum Class Separation.

Marta Moscati, Oleksandr Kats, Mubashir Noman, Muhammad Zaigham Zaheer, Yufang Hou, Markus Schedl, Shah Nawaz

CoRR, January, 2026

Networked Tastes: Homophily for Music Recommendation.

Marta Moscati, Xinwei Xu, Markus Schedl

Proceedings of the Joint Proceedings of the ACM UMAP 2026 Workshops co-located with the 34th ACM Conference on User Modeling, 2026

2025

Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge.

Marta Moscati, Ahmed Abdullah, Muhammad Saad Saeed, Shah Nawaz, Rohan Kumar Das, Muhammad Zaigham Zaheer, Junaid Mir, Muhammad Haroon Yousaf, Khalid Mahmood Malik, Markus Schedl

CoRR, December, 2025

Music4All A+A.

Jonas Geiger, Marta Moscati, Shah Nawaz, Markus Schedl

Dataset, October, 2025

Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation.

Christian Ganhör, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl

CoRR, September, 2025

Music4All A+A.

Jonas Geiger, Marta Moscati, Shah Nawaz, Markus Schedl

Dataset, September, 2025

Face-voice Association in Multilingual Environments (FAME) 2026 Challenge Evaluation Plan.

Marta Moscati, Ahmed Abdullah, Muhammad Saad Saeed, Shah Nawaz, Rohan Kumar Das, Muhammad Zaigham Zaheer, Junaid Mir, Muhammad Haroon Yousaf, Khalid Malik, Markus Schedl

CoRR, August, 2025

Music4All-Onion.

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl

Dataset, May, 2025

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features.

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle

CoRR, February, 2025

Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network.

Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauß, Marcel Zentner, Eva Zangerle

Trans. Int. Soc. Music. Inf. Retr., 2025

Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs.

Marta Moscati, Darius Afchar, Markus Schedl, Bruno Sguerra

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Parameter-Efficient Single Collaborative Branch for Recommendation.

Marta Moscati, Shah Nawaz, Markus Schedl

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Audio, Lyrics, Videoclips, Interactions? An Analysis of Uni- and Multi-modal Music Retrieval Systems in Terms of Accuracy and Beyond-accuracy Aspects.

Marta Moscati, Gustavo Escobedo, Eduardo Hernandez Almanza, Jonas Peché, Markus Schedl

Proceedings of the 3rd Music Recommender Systems Workshop (MuRS 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

Single-Branch Architectures for Recommendation.

Marta Moscati

Proceedings of the DaQuaMRec 2025 Workshop on Data Quality-Aware Multimodal Recommendation co-located with RecSys 2025, 2025

Music4All A+A: A Multimodal Dataset for Music Information Retrieval Tasks.

Jonas Geiger, Marta Moscati, Shah Nawaz, Markus Schedl

Proceedings of the International Conference on Content-Based Multimedia Indexing, 2025

2024

Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan.

Muhammad Saad Saeed, Shah Nawaz, Muhammad Salman Tahir, Rohan Kumar Das, Muhammad Zaigham Zaheer, Marta Moscati, Markus Schedl, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf

CoRR, 2024

Psychology-informed Information Access Systems Workshop.

Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags.

Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

Multimodal Representation Learning for High-Quality Recommendations in Cold-Start and Beyond-Accuracy.

Marta Moscati

Proceedings of the 18th ACM Conference on Recommender Systems, 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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models.

Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments.

Muhammad Saad Saeed, Shah Nawaz, Marta Moscati, Rohan Kumar Das, Muhammad Salman Tahir, Muhammad Zaigham Zaheer, Muhammad Irzam Liaqat, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Markus Schedl

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation.

Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl

Dataset, May, 2023

Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation.

Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Multiobjective Hyperparameter Optimization of Recommender Systems.

Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Music4All-Onion.

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl

Dataset, June, 2022

Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset.

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022