Biblio

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Ong, B. (2007).  Structural Analysis and Segmentation of Music Signals. Department of Information and Communication Technologies. Abstract
Oramas, S., Sordo M., Espinosa-Anke L., & Serra X. (2015).  A Semantic-based Approach for Artist Similarity. 16th International Society for Music Information Retrieval Conference. 100-106. Abstract
Oramas, S., Nieto O., Barbieri F., & Serra X. (2017).  Multi-label Music Genre Classification from Audio, Text and Images Using Deep Features. 18th International Society for Music Information Retrieval Conference (ISMIR 2017). Abstract
Oramas, S., Barbieri F., Nieto O., & Serra X. (2018).  Multimodal Deep Learning for Music Genre Classification. Transactions of the International Society for Music Information Retrieval. 1(1), 4-21. Abstract
Oramas, S., Nieto O., Sordo M., & Serra X. (2017).  A Deep Multimodal Approach for Cold-start Music Recommendation. 2nd Workshop on Deep Learning for Recommender Systems, at RecSys 2017. Abstract
Oramas, S., Ostuni V. C., Di Noia T., Serra X., & Di Sciascio E. (2016).  Sound and Music Recommendation with Knowledge Graphs. ACM Transactions on Intelligent Systems and Technology (TIST). 8(2), 1-21. Abstract
Oramas, S., Espinosa-Anke L., Lawlor A., Serra X., & Saggion H. (2016).  Exploring Customer Reviews for Music Genre Classification and Evolutionary Studies. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 150-156. Abstract
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Pons, J., Lidy T., & Serra X. (2016).  Experimenting with Musically Motivated Convolutional Neural Networks. 14th International Workshop on Content-based Multimedia Indexing (CBMI 2016). Abstract
Pons, J., Serrà J., & Serra X. (2019).  Training neural audio classifiers with few data. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
Pons, J., Nieto O., Prockup M., Schmidt E. M., Ehmann A. F., & Serra X. (2018).  End-to-end learning for music audio tagging at scale. 19th International Society for Music Information Retrieval Conference (ISMIR2018). Abstract
Pons, J., & Serra X. (2017).  Designing Efficient Architectures for Modeling Temporal Features with Convolutional Neural Networks. 42th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017) . Abstract
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