Best paper award at CBMI2016 for work on musically motivated deep learning architectures
List of results published directly linked with the projects co-funded by the Spanish Ministry of Economy and Competitiveness under the María de Maeztu Units of Excellence Program (MDM-2015-0502).
List of publications acknowledging the funding in Scopus.
The record for each publication will include access to postprints (following the Open Access policy of the program), as well as datasets and software used. Ongoing work with UPF Library and Informatics will improve the interface and automation of the retrieval of this information soon.
The MdM Strategic Research Program has its own community in Zenodo for material available in this repository 
as well as at the UPF e-repository 
Best paper award at CBMI2016 for work on musically motivated deep learning architectures
The article Experimenting with Musically Motivated Convolutional Neural Networks has obtained the Best Paper Award at CBMI2016, the 14th International Workshop on Content-Based Multimedia Indexing. Jordi Pons, first author, conducts his PhD in the context of the subproject Machine learning approaches for structuring large sound and music collections, led by Xavier Serra. This link provides access to code and dataset used, in addition to article.
The article Experimenting with Musically Motivated Convolutional Neural Networks has obtained the Best Paper Award at CBMI2016, the 14th International Workshop on Content-Based Multimedia Indexing. The authors explore various architectural choices of relevance for music signals classification tasks in order to start understanding what the chosen deep learning based algorithms can learn from a particular set of data.
Jordi Pons, first author, conducts his PhD in the context of the subproject Machine learning approaches for structuring large sound and music collections, led by Xavier Serra. This link provides access to code and dataset used, in addition to article.
