| Essentia: An audio analysis library for music information retrieval D Bogdanov, N Wack, E Gómez Gutiérrez, S Gulati, H Boyer, O Mayor, ... Britto A, Gouyon F, Dixon S, editors. 14th Conference of the International …, 2013 | 632 | 2013 |
| 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 | 288 | 2017 |
| Music recommender systems M Schedl, P Knees, B McFee, D Bogdanov, M Kaminskas Recommender systems handbook, 453-492, 2015 | 213 | 2015 |
| The mtg-jamendo dataset for automatic music tagging D Bogdanov, M Won, P Tovstogan, A Porter, X Serra ICML, 2019 | 207 | 2019 |
| Semantic audio content-based music recommendation and visualization based on user preference examples D Bogdanov, M Haro, F Fuhrmann, A Xambó, E Gómez, P Herrera Information Processing & Management 49 (1), 13-33, 2013 | 175 | 2013 |
| Evaluation of cnn-based automatic music tagging models M Won, A Ferraro, D Bogdanov, X Serra arXiv preprint arXiv:2006.00751, 2020 | 121 | 2020 |
| Essentia: an open-source library for sound and music analysis D Bogdanov, N Wack, E Gómez, S Gulati, P Herrera, O Mayor, G Roma, ... Proceedings of the 21st ACM international conference on Multimedia, 855-858, 2013 | 121 | 2013 |
| Unifying low-level and high-level music similarity measures D Bogdanov, J Serrà, N Wack, P Herrera, X Serra IEEE Transactions on Multimedia 13 (4), 687-701, 2011 | 107 | 2011 |
| Acousticbrainz: a community platform for gathering music information obtained from audio A Porter, D Bogdanov, R Kaye, R Tsukanov, X Serra Müller M, Wiering F, editors. ISMIR 2015. 16th International Society for …, 2015 | 79 | 2015 |
| How much metadata do we need in music recommendation?: A subjective evaluation using preference sets D Bogdanov, H Boyer Klapuri A, Leider C, editors. 12th International Society for Music …, 2011 | 71 | 2011 |
| Content-based music recommendation based on user preference examples D Bogdanov, M Haro Berois, F Fuhrmann, E Gómez Gutiérrez, H Boyer Anglade A, Baccigalupo C, Casagrande N, Celma Ò, Lamere P, editors. Workshop …, 2010 | 63 | 2010 |
| Music recommendation systems: Techniques, use cases, and challenges M Schedl, P Knees, B McFee, D Bogdanov Recommender systems handbook, 927-971, 2021 | 61 | 2021 |
| MediaEval 2019: Emotion and theme recognition in music using Jamendo D Bogdanov, A Porter, P Tovstogan, M Won Larson M, Hicks S, Constantin MG, Bischke B, Porter A, Zhao P, Lux M …, 2019 | 50 | 2019 |
| Tensorflow audio models in essentia P Alonso-Jiménez, D Bogdanov, J Pons, X Serra ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 46 | 2020 |
| Cross-collection evaluation for music classification tasks D Bogdanov, A Porter, H Boyer, X Serra Devaney J, Mandel MI, Turnbull D, Tzanetakis G, editors. ISMIR 2016 …, 2016 | 44 | 2016 |
| From low-level to high-level: Comparative study of music similarity measures D Bogdanov, J Serra, N Wack, P Herrera 2009 11th IEEE international symposium on multimedia, 453-458, 2009 | 43 | 2009 |
| The acousticbrainz genre dataset: Multi-source, multi-level, multi-label, and large-scale D Bogdanov, A Porter, H Schreiber, J Urbano, S Oramas Proceedings of the 20th Conference of the International Society for Music …, 2019 | 34 | 2019 |
| 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 | 33 | 2021 |
| Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks E Fonseca, R Gong, D Bogdanov, O Slizovskaia, E Gómez Gutiérrez, ... Virtanen T, Mesaros A, Heittola T, Diment A, Vincent E, Benetos E, Martinez …, 2017 | 33 | 2017 |
| The song describer dataset: a corpus of audio captions for music-and-language evaluation I Manco, B Weck, S Doh, M Won, Y Zhang, D Bogdanov, Y Wu, K Chen, ... arXiv preprint arXiv:2311.10057, 2023 | 27 | 2023 |
Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaZweryfikowany adres z upf.edu
