Freesound Datasets: A Platform for the Creation of Open Audio Datasets. - Eduardo Fonseca; Jordi Pons; Xavier Favory; Frederic Font; Dmitry Bogdanov; Andres Ferraro; Sergio Oramas; Alastair Porter; Xavier Serra (ISMIR, 2017)

On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns. - Andres Ferraro; Kjell Lemström (DLfm, 2018)

Automatic playlist continuation using a hybrid recommender system combining features from text and audio. - Andres Ferraro; Dmitry Bogdanov; Jisang Yoon; KwangSeob Kim; Xavier Serra (RecSys Challenge, 2018)

Music cold-start and long-tail recommendation: bias in deep representations. - Andres Ferraro (RecSys, 2019)

Using offline metrics and user behavior analysis to combine multiple systems for music recommendation. - Andres Ferraro; Dmitry Bogdanov; Kyumin Choi; Xavier Serra (CoRR, 2019)

Skip prediction using boosting trees based on acoustic features of tracks in sessions. - Andrés Ferraro; Dmitry Bogdanov; Xavier Serra (CoRR, 2019)

Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution. - Andres Ferraro; Dmitry Bogdanov; Jay Ho Jeon; Jason Yoon; Xavier Serra (CoRR, 2019)

Artist and style exposure bias in collaborative filtering based music recommendations. - Andres Ferraro; Dmitry Bogdanov; Xavier Serra; Jason Yoon (CoRR, 2019)

How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging. - Andres Ferraro; Dmitry Bogdanov; Xavier Serra; Jay Ho Jeon; Jason Yoon (EUSIPCO, 2020)

Exploring Longitudinal Effects of Session-based Recommendations. - Andres Ferraro; Dietmar Jannach; Xavier Serra (RecSys, 2020)

Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. - Andres Ferraro; Sergio Oramas; Massimo Quadrana; Xavier Serra (ComplexRec-ImpactRS@RecSys, 2020)

Balancing Exposure and Relevance in Academic Search. - Andres Ferraro; Lorenzo Porcaro; Xavier Serra (TREC, 2020)

Evaluation of CNN-based Automatic Music Tagging Models. - Minz Won; Andres Ferraro; Dmitry Bogdanov; Xavier Serra (CoRR, 2020)

Search a Great Leveler? Ensuring More Equitable Information Acquisition. - Stephann Makri; Dana McKay; George Buchanan 001; Shanton Chang; Dirk Lewandowski; Andrew MacFarlane 001; Lynne Cole; Sanne Vrijenhoek; Andrés Ferraro (ASIST, 2021)

Break the Loop: Gender Imbalance in Music Recommenders. - Andres Ferraro; Xavier Serra; Christine Bauer 001 (CHIIR, 2021)

Melon Playlist Dataset: A Public Dataset for Audio-Based Playlist Generation and Music Tagging. - Andres Ferraro; Yuntae Kim; Soohyeon Lee; Biho Kim; Namjun Jo; Semi Lim; Suyon Lim; Jungtaek Jang; Sehwan Kim; Xavier Serra; Dmitry Bogdanov (ICASSP, 2021)

What Is Fair? Exploring the Artists' Perspective on the Fairness of Music Streaming Platforms. - Andres Ferraro; Xavier Serra; Christine Bauer 001 (INTERACT (2), 2021)

Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks. - Eduardo Fonseca; Andres Ferraro; Xavier Serra (CoRR, 2021)

Enriched Music Representations With Multiple Cross-Modal Contrastive Learning. - Andres Ferraro; Xavier Favory; Konstantinos Drossos; Yuntae Kim; Dmitry Bogdanov (IEEE Signal Process. Lett., 2021)

Music recommender systems: taking into account the artists' perspective. - Andrés Ferraro (2021)

Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. - Andres Ferraro; Gustavo Ferreira; Fernando Diaz 001; Georgina Born (RecSys, 2022)

Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact. - Peter Knees; Andres Ferraro; Moritz Hubler (MORS@RecSys, 2022)

Offline Retrieval Evaluation Without Evaluation Metrics. - Fernando Diaz 001; Andres Ferraro (SIGIR, 2022)

Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics. - Sara Latifi; Dietmar Jannach; Andrés Ferraro (Inf. Sci., 2022)

Contrastive Learning for Cross-Modal Artist Retrieval. - Andres Ferraro; Jaehun Kim; Sergio Oramas; Andreas F. Ehmann; Fabien Gouyon (ISMIR, 2023)

MuRS: Music Recommender Systems Workshop. - Andres Ferraro; Peter Knees; Massimo Quadrana; Tao Ye 001; Fabien Gouyon (RecSys, 2023)

Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship. - Andres Ferraro; Gustavo Ferreira; Fernando Diaz 001; Georgina Born (CoRR, 2023)

Talking to Your Recs: Multimodal Embeddings For Recommendation and Retrieval. - Sergio Oramas; Andres Ferraro; Álvaro Sarasúa; Fabien Gouyon (MuRS@RecSys, 2024)

It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation. - Andres Ferraro; Michael D. Ekstrand; Christine Bauer 001 (RecSys, 2024)

MuRS 2024: 2nd Music Recommender Systems Workshop. - Andres Ferraro; Lorenzo Porcaro; Peter Knees; Christine Bauer 001 (RecSys, 2024)

Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship. - Andres Ferraro; Gustavo Ferreira; Fernando Diaz 001; Georgina Born (Trans. Recomm. Syst., 2024)

A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. - Lien Michiels; Robin Verachtert; Andres Ferraro; Kim Falk; Bart Goethals (Trans. Recomm. Syst., 2024)