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ORCIDAndres Ferraro
Person information
- affiliation: Pandora
- affiliation: Universitat Pompeu Fabra, Spain
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Books and Theses
- 2021
[b1]Andrés Ferraro:
Music recommender systems: taking into account the artists' perspective. Pompeu Fabra University, Spain, 2021
Journal Articles
- 2024
- [j4]Lien Michiels
, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals:
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. Trans. Recomm. Syst. 2(1): 4:1-4:45 (2024) - [j3]Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship. Trans. Recomm. Syst. 2(1): 10:1-10:32 (2024) - 2022
- [j2]Sara Latifi, Dietmar Jannach, Andrés Ferraro:
Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics. Inf. Sci. 609: 660-678 (2022) - 2021
- [j1]Andres Ferraro, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov:
Enriched Music Representations With Multiple Cross-Modal Contrastive Learning. IEEE Signal Process. Lett. 28: 733-737 (2021)
Conference and Workshop Papers
- 2023
- [c17]Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon:
Contrastive Learning for Cross-Modal Artist Retrieval. ISMIR 2023: 375-382 - [c16]Andres Ferraro, Peter Knees, Massimo Quadrana, Tao Ye, Fabien Gouyon:
MuRS: Music Recommender Systems Workshop. RecSys 2023: 1227-1230 - 2022
- [c15]Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. RecSys 2022: 567-572 - [c14]Peter Knees, Andres Ferraro, Moritz Hubler:
Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact. MORS@RecSys 2022 - [c13]Fernando Diaz, Andres Ferraro:
Offline Retrieval Evaluation Without Evaluation Metrics. SIGIR 2022: 599-609 - 2021
- [c12]Stephann Makri, Dana McKay, George Buchanan, Shanton Chang, Dirk Lewandowski, Andrew MacFarlane, Lynne Cole, Sanne Vrijenhoek, Andrés Ferraro:
Search a Great Leveler? Ensuring More Equitable Information Acquisition. ASIST 2021: 613-618 - [c11]Andres Ferraro, Xavier Serra, Christine Bauer:
Break the Loop: Gender Imbalance in Music Recommenders. CHIIR 2021: 249-254 - [c10]Andres Ferraro, Yuntae Kim, Soohyeon Lee, Biho Kim, Namjun Jo, Semi Lim, Suyon Lim, Jungtaek Jang, Sehwan Kim, Xavier Serra, Dmitry Bogdanov:
Melon Playlist Dataset: A Public Dataset for Audio-Based Playlist Generation and Music Tagging. ICASSP 2021: 536-540 - [c9]Andres Ferraro, Xavier Serra, Christine Bauer:
What Is Fair? Exploring the Artists' Perspective on the Fairness of Music Streaming Platforms. INTERACT (2) 2021: 562-584 - 2020
- [c8]Andres Ferraro, Dmitry Bogdanov, Xavier Serra, Jay Ho Jeon, Jason Yoon:
How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging. EUSIPCO 2020: 131-135 - [c7]Andres Ferraro, Dietmar Jannach, Xavier Serra:
Exploring Longitudinal Effects of Session-based Recommendations. RecSys 2020: 474-479 - [c6]Andres Ferraro, Sergio Oramas, Massimo Quadrana, Xavier Serra:
Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. ComplexRec-ImpactRS@RecSys 2020 - [c5]Andres Ferraro, Lorenzo Porcaro, Xavier Serra:
Balancing Exposure and Relevance in Academic Search. TREC 2020 - 2019
- [c4]Andres Ferraro:
Music cold-start and long-tail recommendation: bias in deep representations. RecSys 2019: 586-590 - 2018
- [c3]Andres Ferraro, Kjell Lemström:
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns. DLfm 2018: 34-37 - [c2]Andres Ferraro, Dmitry Bogdanov, Jisang Yoon, KwangSeob Kim, Xavier Serra:
Automatic playlist continuation using a hybrid recommender system combining features from text and audio. RecSys Challenge 2018: 2:1-2:5 - 2017
- [c1]Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra:
Freesound Datasets: A Platform for the Creation of Open Audio Datasets. ISMIR 2017: 486-493
Informal and Other Publications
- 2023
- [i16]Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship. CoRR abs/2302.11360 (2023) - [i15]Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon:
Contrastive Learning for Cross-modal Artist Retrieval. CoRR abs/2308.06556 (2023) - 2022
- [i14]Fernando Diaz, Andres Ferraro:
Offline Retrieval Evaluation Without Evaluation Metrics. CoRR abs/2204.11400 (2022) - [i13]Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. CoRR abs/2208.01696 (2022) - 2021
- [i12]Andres Ferraro, Yuntae Kim, Soohyeon Lee, Biho Kim, Namjun Jo, Semi Lim, Suyon Lim, Jungtaek Jang, Sehwan Kim, Xavier Serra, Dmitry Bogdanov:
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging. CoRR abs/2102.00201 (2021) - [i11]Andres Ferraro, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov:
Enriched Music Representations with Multiple Cross-modal Contrastive Learning. CoRR abs/2104.00437 (2021) - [i10]Andres Ferraro, Xavier Serra, Christine Bauer:
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms. CoRR abs/2106.02415 (2021) - [i9]Eduardo Fonseca, Andres Ferraro, Xavier Serra:
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks. CoRR abs/2107.00623 (2021) - 2020
- [i8]Minz Won, Andres Ferraro, Dmitry Bogdanov, Xavier Serra:
Evaluation of CNN-based Automatic Music Tagging Models. CoRR abs/2006.00751 (2020) - [i7]Andres Ferraro, Dietmar Jannach, Xavier Serra:
Exploring Longitudinal Effects of Session-based Recommendations. CoRR abs/2008.07226 (2020) - 2019
- [i6]Andres Ferraro, Dmitry Bogdanov, Jisang Yoon, KwangSeob Kim, Xavier Serra:
Automatic playlist continuation using a hybrid recommender system combining features from text and audio. CoRR abs/1901.00450 (2019) - [i5]Andres Ferraro, Dmitry Bogdanov, Kyumin Choi, Xavier Serra:
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation. CoRR abs/1901.02296 (2019) - [i4]Andrés Ferraro, Dmitry Bogdanov, Xavier Serra:
Skip prediction using boosting trees based on acoustic features of tracks in sessions. CoRR abs/1903.11833 (2019) - [i3]Andres Ferraro, Kjell Lemström:
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns. CoRR abs/1910.09242 (2019) - [i2]Andres Ferraro, Dmitry Bogdanov, Jay Ho Jeon, Jason Yoon, Xavier Serra:
Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution. CoRR abs/1911.04824 (2019) - [i1]Andres Ferraro, Dmitry Bogdanov, Xavier Serra, Jason Yoon:
Artist and style exposure bias in collaborative filtering based music recommendations. CoRR abs/1911.04827 (2019)
Coauthor Index
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