From Low-Level to High-Level: Comparative Study of Music Similarity Measures. - Dmitry Bogdanov; Joan Serrà; Nicolas Wack; Perfecto Herrera (ISM, 2009)

The Musical Avatar: a visualization of musical preferences by means of audio content description. - Martín Haro; Anna Xambó; Ferdinand Fuhrmann; Dmitry Bogdanov; Emilia Gómez; Perfecto Herrera (Audio Mostly Conference, 2010)

A content-based system for music recommendation and visualization of user preferences working on semantic notions. - Dmitry Bogdanov; Martín Haro; Ferdinand Fuhrmann; Anna Xambó; Emilia Gómez; Perfecto Herrera (CBMI, 2011)

How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets. - Dmitry Bogdanov; Perfecto Herrera (ISMIR, 2011)

Unifying Low-Level and High-Level Music Similarity Measures. - Dmitry Bogdanov; Joan Serrà; Nicolas Wack; Perfecto Herrera; Xavier Serra (IEEE Trans. Multim., 2011)

Music retagging using label propagation and robust principal component analysis. - Yi-Hsuan Yang; Dmitry Bogdanov; Perfecto Herrera; Mohamed Sordo (WWW (Companion Volume), 2012)

Essentia: An Audio Analysis Library for Music Information Retrieval. - Dmitry Bogdanov; Nicolas Wack; Emilia Gómez; Sankalp Gulati; Perfecto Herrera; Oscar Mayor; Gerard Roma; Justin Salamon; José Ricardo Zapata; Xavier Serra (ISMIR, 2013)

ESSENTIA: an open-source library for sound and music analysis. - Dmitry Bogdanov; Nicolas Wack; Emilia Gómez; Sankalp Gulati; Perfecto Herrera; Oscar Mayor; Gerard Roma; Justin Salamon; José Ricardo Zapata; Xavier Serra (ACM Multimedia, 2013)

Semantic audio content-based music recommendation and visualization based on user preference examples. - Dmitry Bogdanov; Martín Haro; Ferdinand Fuhrmann; Anna Xambó; Emilia Gómez; Perfecto Herrera (Inf. Process. Manag., 2013)

From music similarity to music recommendation : computational approaches based on audio features and metadata. - Dmitry Bogdanov (2013)

What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features? - Julián Urbano; Dmitry Bogdanov; Perfecto Herrera; Emilia Gómez; Xavier Serra (ISMIR, 2014)

AcousticBrainz: A Community Platform for Gathering Music Information Obtained from Audio. - Alastair Porter; Dmitry Bogdanov; Robert Kaye; Roman Tsukanov; Xavier Serra (ISMIR, 2015)

Music Recommender Systems. - Markus Schedl; Peter Knees; Brian McFee; Dmitry Bogdanov; Marius Kaminskas (Recommender Systems Handbook, 2015)

Mining metadata from the web for AcousticBrainz. - Alastair Porter; Dmitry Bogdanov; Xavier Serra (DLfm, 2016)

Cross-Collection Evaluation for Music Classification Tasks. - Dmitry Bogdanov; Alastair Porter; Perfecto Herrera; Xavier Serra (ISMIR, 2016)

Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. - Eduardo Fonseca; Rong Gong; Dmitry Bogdanov; Olga Slizovskaia; Emilia Gómez; Xavier Serra (DCASE, 2017)

Quantifying Music Trends and Facts Using Editorial Metadata from the Discogs Database. - Dmitry Bogdanov; Xavier Serra (ISMIR, 2017)

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)

The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. - Dmitry Bogdanov; Alastair Porter; Julián Urbano; Hendrik Schreiber 001 (MediaEval, 2017)

The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. - Dmitry Bogdanov; Alastair Porter; Julián Urbano; Hendrik Schreiber 001 (MediaEval, 2018)

MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets. - Sergio Oramas; Dmitry Bogdanov; Alastair Porter (MediaEval, 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)

The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. - Dmitry Bogdanov; Alastair Porter; Hendrik Schreiber 001; Julián Urbano; Sergio Oramas (ISMIR, 2019)

MediaEval 2019: Emotion and Theme Recognition in Music Using Jamendo. - Dmitry Bogdanov; Alastair Porter; Philip Tovstogan; Minz Won (MediaEval, 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)

Tensorflow Audio Models in Essentia. - Pablo Alonso-Jiménez; Dmitry Bogdanov; Jordi Pons; Xavier Serra (ICASSP, 2020)

Essentia.js: A JavaScript Library for Music and Audio Analysis on the Web. - Albin Andrew Correya; Dmitry Bogdanov; Luis Joglar-Ongay; Xavier Serra (ISMIR, 2020)

The Freesound Loop Dataset and Annotation Tool. - 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 (ISMIR, 2020)

MediaEval 2020: Emotion and Theme Recognition in Music Using Jamendo. - Dmitry Bogdanov; Alastair Porter; Philip Tovstogan; Minz Won (MediaEval, 2020)

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

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)

MediaEval 2021: Emotion and Theme Recognition in Music Using Jamendo. - Philip Tovstogan; Dmitry Bogdanov; Alastair Porter (MediaEval, 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)

Audio and Music Analysis on the Web using Essentia.js. - Albin Andrew Correya; Jorge Marcos-Fernández; Luis Joglar-Ongay; Pablo Alonso-Jiménez; Xavier Serra; Dmitry Bogdanov (Trans. Int. Soc. Music. Inf. Retr., 2021)

Ambiguity Modelling with Label Distribution Learning for Music Classification. - Morgan Buisson; Pablo Alonso-Jiménez; Dmitry Bogdanov (ICASSP, 2022)

Music Representation Learning Based on Editorial Metadata from Discogs. - Pablo Alonso-Jiménez; Xavier Serra; Dmitry Bogdanov (ISMIR, 2022)

MusAV: A dataset of relative arousal-valence annotations for validation of audio models. - Dmitry Bogdanov; Xavier Lizarraga-Seijas; Pablo Alonso-Jiménez; Xavier Serra (ISMIR, 2022)

Music Recommendation Systems: Techniques, Use Cases, and Challenges. - Markus Schedl; Peter Knees; Brian McFee; Dmitry Bogdanov (Recommender Systems Handbook, 2022)

MusAV Dataset. - Dmitry Bogdanov; Xavier Lizarraga-Seijas; Pablo Alonso-Jiménez; Xavier Serra (Zenodo, 2022)

Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity. - Pablo Alonso-Jiménez; Xavier Favory; Hadrien Foroughmand; Grigoris Bourdalas; Xavier Serra; Thomas Lidy; Dmitry Bogdanov (ICASSP, 2023)

Efficient Supervised Training of Audio Transformers for Music Representation Learning. - Pablo Alonso-Jiménez; Xavier Serra; Dmitry Bogdanov (ISMIR, 2023)

The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. - Ilaria Manco; Benno Weck; Seungheon Doh; Minz Won; Yixiao Zhang 002; Dmitry Bogdanov; Yusong Wu; Ke Chen 021; Philip Tovstogan; Emmanouil Benetos; Elio Quinton; György Fazekas; et al. (CoRR, 2023)

mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks. - Christos Plachouras; Pablo Alonso-Jiménez; Dmitry Bogdanov (CoRR, 2023)

Evaluation of Deep Audio Representations for Semantic Sound Similarity. - Recep Oguz Araz; Dmitry Bogdanov; Pablo Alonso-Jiménez; Frederic Font (CBMI, 2024)

Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio. - Pablo Alonso-Jiménez; Leonardo Pepino; Roser Batlle-Roca; Pablo Zinemanas; Dmitry Bogdanov; Xavier Serra; Martín Rocamora (ICASSP Workshops, 2024)

Discogs-VI: A Musical Version Identification Dataset Based on Public Editorial Metadata. - Recep Oguz Araz; Xavier Serra; Dmitry Bogdanov (ISMIR, 2024)

MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models. - Benno Weck; Ilaria Manco; Emmanouil Benetos; Elio Quinton; George Fazekas; Dmitry Bogdanov (ISMIR, 2024)

MuChoMusic dataset. - Benno Weck; Ilaria Manco; Emmanouil Benetos; Elio Quinton; George Fazekas; Dmitry Bogdanov (Zenodo, 2024)

Discogs-VI: A musical version identification dataset based on public editorial metadata. - Recep Oguz Araz; Xavier Serra; Dmitry Bogdanov (Zenodo, 2024)

Supervised contrastive learning from weakly-labeled audio segments for musical version matching. - Joan Serrà; Recep Oguz Araz; Dmitry Bogdanov; Yuki Mitsufuji (CoRR, 2025)

Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identification. - Recep Oguz Araz; Guillem Cortès-Sebastià; Emilio Molina; Joan Serrà; Xavier Serra; Yuki Mitsufuji; Dmitry Bogdanov (CoRR, 2025)

OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction. - Pablo Alonso-Jiménez; Pedro Ramoneda; Recep Oguz Araz; Andrea Poltronieri; Dmitry Bogdanov (CoRR, 2025)