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2020 – today
- 2024
[c33]Pablo Alonso-Jiménez, Leonardo Pepino, Roser Batlle-Roca, Pablo Zinemanas, Dmitry Bogdanov, Xavier Serra, Martín Rocamora:
Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio. ICASSP Workshops 2024: 833-837- [i16]Pablo Alonso-Jiménez, Leonardo Pepino, Roser Batlle-Roca, Pablo Zinemanas, Dmitry Bogdanov, Xavier Serra, Martín Rocamora:
Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio. CoRR abs/2402.09318 (2024) - [i15]Benno Weck, Ilaria Manco, Emmanouil Benetos, Elio Quinton, George Fazekas, Dmitry Bogdanov:
MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models. CoRR abs/2408.01337 (2024) - 2023
- [c32]Pablo Alonso-Jiménez, Xavier Favory, Hadrien Foroughmand, Grigoris Bourdalas, Xavier Serra, Thomas Lidy, Dmitry Bogdanov:
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity. ICASSP 2023: 1-5 - [c31]Pablo Alonso-Jiménez, Xavier Serra, Dmitry Bogdanov:
Efficient Supervised Training of Audio Transformers for Music Representation Learning. ISMIR 2023: 824-831 - [i14]Pablo Alonso-Jiménez, Xavier Favory, Hadrien Foroughmand, Grigoris Bourdalas, Xavier Serra, Thomas Lidy, Dmitry Bogdanov:
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity. CoRR abs/2304.12257 (2023) - [i13]Pablo Alonso-Jiménez, Xavier Serra, Dmitry Bogdanov:
Efficient Supervised Training of Audio Transformers for Music Representation Learning. CoRR abs/2309.16418 (2023) - [i12]Ilaria Manco, Benno Weck, Seungheon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, Juhan Nam:
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. CoRR abs/2311.10057 (2023) - [i11]Christos Plachouras, Pablo Alonso-Jiménez, Dmitry Bogdanov:
mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks. CoRR abs/2312.05994 (2023) - 2022
- [c30]Morgan Buisson, Pablo Alonso-Jiménez, Dmitry Bogdanov:
Ambiguity Modelling with Label Distribution Learning for Music Classification. ICASSP 2022: 611-615 - [c29]Dmitry Bogdanov, Xavier Lizarraga-Seijas, Pablo Alonso-Jiménez, Xavier Serra:
MusAV: A dataset of relative arousal-valence annotations for validation of audio models. ISMIR 2022: 650-658 - [c28]Pablo Alonso-Jiménez, Xavier Serra, Dmitry Bogdanov:
Music Representation Learning Based on Editorial Metadata from Discogs. ISMIR 2022: 825-833 - [r2]Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov:
Music Recommendation Systems: Techniques, Use Cases, and Challenges. Recommender Systems Handbook 2022: 927-971 - 2021
- [j4]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) - [j3]Albin Andrew Correya, Jorge Marcos-Fernández, Luis Joglar-Ongay, Pablo Alonso-Jiménez, Xavier Serra, Dmitry Bogdanov:
Audio and Music Analysis on the Web using Essentia.js. Trans. Int. Soc. Music. Inf. Retr. 4(1): 167-181 (2021) - [c27]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 - [c26]Philip Tovstogan, Dmitry Bogdanov, Alastair Porter:
MediaEval 2021: Emotion and Theme Recognition in Music Using Jamendo. MediaEval 2021 - [e2]Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021 [contents] - [i10]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) - [i9]Andres Ferraro, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov:
Enriched Music Representations with Multiple Cross-modal Contrastive Learning. CoRR abs/2104.00437 (2021) - 2020
- [c25]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 - [c24]Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons, Xavier Serra:
Tensorflow Audio Models in Essentia. ICASSP 2020: 266-270 - [c23]António Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Wei-Han Hsu, Xavier Serra:
The Freesound Loop Dataset and Annotation Tool. ISMIR 2020: 287-294 - [c22]Albin Andrew Correya, Dmitry Bogdanov, Luis Joglar-Ongay, Xavier Serra:
Essentia.js: A JavaScript Library for Music and Audio Analysis on the Web. ISMIR 2020: 605-612 - [c21]Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won:
MediaEval 2020: Emotion and Theme Recognition in Music Using Jamendo. MediaEval 2020 - [i8]Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons, Xavier Serra:
TensorFlow Audio Models in Essentia. CoRR abs/2003.07393 (2020) - [i7]Minz Won, Andres Ferraro, Dmitry Bogdanov, Xavier Serra:
Evaluation of CNN-based Automatic Music Tagging Models. CoRR abs/2006.00751 (2020) - [i6]António Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Wei-Han Hsu, Xavier Serra:
The Freesound Loop Dataset and Annotation Tool. CoRR abs/2008.11507 (2020)
2010 – 2019
- 2019
- [c20]Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas:
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. ISMIR 2019: 360-367 - [c19]Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won:
MediaEval 2019: Emotion and Theme Recognition in Music Using Jamendo. MediaEval 2019 - [i5]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) - [i4]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) - [i3]Andrés Ferraro, Dmitry Bogdanov, Xavier Serra:
Skip prediction using boosting trees based on acoustic features of tracks in sessions. CoRR abs/1903.11833 (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) - 2018
- [c18]Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber:
The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2018 - [c17]Sergio Oramas, Dmitry Bogdanov, Alastair Porter:
MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets. MediaEval 2018 - [c16]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
- [c15]Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra:
Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. DCASE 2017: 37-41 - [c14]Dmitry Bogdanov, Xavier Serra:
Quantifying Music Trends and Facts Using Editorial Metadata from the Discogs Database. ISMIR 2017: 89-95 - [c13]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 - [c12]Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber:
The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2017 - [e1]Guillaume Gravier, Benjamin Bischke, Claire-Hélène Demarty, Maia Zaharieva, Michael Riegler, Emmanuel Dellandréa, Dmitry Bogdanov, Richard F. E. Sutcliffe, Gareth J. F. Jones, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017. CEUR Workshop Proceedings 1984, CEUR-WS.org 2017 [contents] - 2016
- [c11]Alastair Porter, Dmitry Bogdanov, Xavier Serra:
Mining metadata from the web for AcousticBrainz. DLfm 2016: 53-56 - [c10]Dmitry Bogdanov, Alastair Porter, Perfecto Herrera, Xavier Serra:
Cross-Collection Evaluation for Music Classification Tasks. ISMIR 2016: 379-385 - 2015
- [c9]Alastair Porter, Dmitry Bogdanov, Robert Kaye, Roman Tsukanov, Xavier Serra:
AcousticBrainz: A Community Platform for Gathering Music Information Obtained from Audio. ISMIR 2015: 786-792 - [r1]Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov, Marius Kaminskas:
Music Recommender Systems. Recommender Systems Handbook 2015: 453-492 - 2014
- [c8]Julián Urbano, Dmitry Bogdanov, Perfecto Herrera, Emilia Gómez, Xavier Serra:
What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features? ISMIR 2014: 573-578 - 2013
- [b1]Dmitry Bogdanov:
From music similarity to music recommendation : computational approaches based on audio features and metadata. Pompeu Fabra University, Spain, 2013 - [j2]Dmitry Bogdanov, Martín Haro, Ferdinand Fuhrmann, Anna Xambó, Emilia Gómez, Perfecto Herrera:
Semantic audio content-based music recommendation and visualization based on user preference examples. Inf. Process. Manag. 49(1): 13-33 (2013) - [c7]Dmitry Bogdanov, Nicolas Wack, Emilia Gómez, Sankalp Gulati, Perfecto Herrera, Oscar Mayor, Gerard Roma, Justin Salamon, José Ricardo Zapata, Xavier Serra:
Essentia: An Audio Analysis Library for Music Information Retrieval. ISMIR 2013: 493-498 - [c6]Dmitry Bogdanov, Nicolas Wack, Emilia Gómez, Sankalp Gulati, Perfecto Herrera, Oscar Mayor, Gerard Roma, Justin Salamon, José Ricardo Zapata, Xavier Serra:
ESSENTIA: an open-source library for sound and music analysis. ACM Multimedia 2013: 855-858 - 2012
- [c5]Yi-Hsuan Yang, Dmitry Bogdanov, Perfecto Herrera, Mohamed Sordo:
Music retagging using label propagation and robust principal component analysis. WWW (Companion Volume) 2012: 869-876 - 2011
- [j1]Dmitry Bogdanov, Joan Serrà, Nicolas Wack, Perfecto Herrera, Xavier Serra:
Unifying Low-Level and High-Level Music Similarity Measures. IEEE Trans. Multim. 13(4): 687-701 (2011) - [c4]Dmitry Bogdanov, Martín Haro, Ferdinand Fuhrmann, Anna Xambó, Emilia Gómez, Perfecto Herrera:
A content-based system for music recommendation and visualization of user preferences working on semantic notions. CBMI 2011: 249-252 - [c3]Dmitry Bogdanov, Perfecto Herrera:
How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets. ISMIR 2011: 97-102 - 2010
- [c2]Martín Haro, Anna Xambó, Ferdinand Fuhrmann, Dmitry Bogdanov, Emilia Gómez, Perfecto Herrera:
The Musical Avatar: a visualization of musical preferences by means of audio content description. Audio Mostly Conference 2010: 14
2000 – 2009
- 2009
- [c1]Dmitry Bogdanov, Joan Serrà, Nicolas Wack, Perfecto Herrera:
From Low-Level to High-Level: Comparative Study of Music Similarity Measures. ISM 2009: 453-458
Coauthor Index
aka: Andrés Ferraro
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