Andres Ferraro
Andres Ferraro
Pandora SiriusXM
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Freesound datasets: a platform for the creation of open audio datasets
E Fonseca, J Pons Puig, X Favory, F Font Corbera, D Bogdanov, ...
Hu X, Cunningham SJ, Turnbull D, Duan Z, editors. Proceedings of the 18th …, 2017
Evaluation of cnn-based automatic music tagging models
M Won, A Ferraro, D Bogdanov, X Serra
Proceedings of 17th Sound and Music Computing Conference (SMC), 2020
Break the loop: Gender imbalance in music recommenders
A Ferraro, X Serra, C Bauer
Proceedings of the 2021 conference on human information interaction and …, 2021
Music cold-start and long-tail recommendation: bias in deep representations
A Ferraro
Proceedings of the 13th ACM Conference on Recommender Systems, 586-590, 2019
What is fair? Exploring the artists’ perspective on the fairness of music streaming platforms
A Ferraro, X Serra, C Bauer
IFIP Conference on Human-Computer Interaction, 562-584, 2021
Exploring longitudinal effects of session-based recommendations
A Ferraro, D Jannach, X Serra
Proceedings of the 14th ACM Conference on Recommender Systems, 474-479, 2020
Enriched music representations with multiple cross-modal contrastive learning
A Ferraro, X Favory, K Drossos, Y Kim, D Bogdanov
IEEE Signal Processing Letters 28, 733-737, 2021
Artist and style exposure bias in collaborative filtering based music recommendations
A Ferraro, D Bogdanov, X Serra, J Yoon
arXiv preprint arXiv:1911.04827, 2019
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns
A Ferraro, K Lemström
Proceedings of the 5th International Conference on Digital Libraries for …, 2018
Melon playlist dataset: A public dataset for audio-based playlist generation and music tagging
A Ferraro, Y Kim, S Lee, B Kim, N Jo, S Lim, S Lim, J Jang, S Kim, X Serra, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Automatic playlist continuation using a hybrid recommender system combining features from text and audio
A Ferraro, D Bogdanov, J Yoon, KS Kim, X Serra
Proceedings of the ACM Recommender Systems Challenge 2018, 1-5, 2018
Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics
S Latifi, D Jannach, A Ferraro
Information Sciences 609, 660-678, 2022
How low can you go? Reducing frequency and time resolution in current CNN architectures for music auto-tagging
A Ferraro, D Bogdanov, XS Jay, H Jeon, J Yoon
2020 28th European Signal Processing Conference (EUSIPCO), 131-135, 2021
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation
A Ferraro, D Bogdanov, K Choi, X Serra
arXiv preprint arXiv:1901.02296, 2019
Improving sound event classification by increasing shift invariance in convolutional neural networks
E Fonseca, A Ferraro, X Serra
arXiv preprint arXiv:2107.00623, 2021
Skip prediction using boosting trees based on acoustic features of tracks in sessions
A Ferraro, D Bogdanov, X Serra
arXiv preprint arXiv:1903.11833, 2019
Offline Retrieval Evaluation Without Evaluation Metrics
F Diaz, A Ferraro
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship
A Ferraro, G Ferreira, F Diaz, G Born
Proceedings of the 16th ACM Conference on Recommender Systems, 567-572, 2022
Artist biases in collaborative filtering for music recommendation
A Ferraro, JH Jeon, B Kim, X Serra, D Bogdanov
Proceedings of the 37 th International Conference on Machine Learning; 2020 …, 2020
Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact
P Knees, A Ferraro, M Hübler
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems, co …, 2022
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