Biblio
] Filters: Author is Oramas, Sergio [Clear All Filters]
(2019). The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale.
20th International Society for Music Information Retrieval Conference (ISMIR 2019). Abstract
(2014). Automatic Creation of Knowledge Graphs from Digital Musical Document Libraries.
Conference in Interdisciplinary Musicology. Abstract
(2012). Automatic Detection of Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings.
III Interdisciplinary Conference on Flamenco Research (INFLA) and II International Workshop of Folk Music Analysis (FMA). Abstract
(2017). A Deep Multimodal Approach for Cold-start Music Recommendation.
2nd Workshop on Deep Learning for Recommender Systems, at RecSys 2017. Abstract
(2014). Does Always the Phrygian Mode Elicit Responses of Negative Valence?.
4th International Workshop on Folk Music Analysis (FMA). Abstract
(2016). ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain.
Language Resources and Evaluation Conference (LREC 2016). 3312-3317. Abstract
(2017). ELMDist: A vector space model with words and MusicBrainz entities.
Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017. Abstract
(2016). Exploring Customer Reviews for Music Genre Classification and Evolutionary Studies.
17th International Society for Music Information Retrieval Conference (ISMIR 2016). 150-156. Abstract
(2014). Extending Tagging Ontologies with Domain Specific Knowledge.
International Semantic Web Conference. 209-2012. Abstract
(2015). Extracting Relations from Unstructured Text Sources for Music Recommendation.
20th International Conference on Applications of Natural Language to Information Systems. Abstract
(2016). Finding and Expanding Hypernymic Relations in the Music Domain.
19th International Conference of the Catalan Association for Artificial Intelligence (CCIA). Abstract
(2015). FlaBase: Towards the Creation of a Flamenco Music Knowledge Base.
16th International Society for Music Information Retrieval Conference. Abstract
(2017). Freesound Datasets: A Platform for the Creation of Open Audio Datasets.
18th International Society for Music Information Retrieval Conference. Abstract
(2014). Harvesting and Structuring Social Data in Music Information Retrieval.
Extended Semantic Web Conference (ESWC 2014). Abstract
(2016). Information Extraction for Knowledge Base Construction in the Music Domain.
Data & Knowledge Engineering. 106, 70-83. Abstract
(2015). Knowledge Acquisition from Music Digital Libraries.
International Association of Music Libraries and International Musicological Society IAML/IMS Conference. Abstract
(2017). Knowledge Extraction and Representation Learning for Music Recommendation and Classification.
Department of Information and Communication Technologies. 203. Abstract
(2016). Knowledge Is Out There: A New Step in the Evolution of Music Digital Libraries.
Fontes Artis Musicae. 63(4), 285-298. Abstract
(2018). MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets.
MediaEval 2018 Workshop.
(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
(2018). Multimodal Deep Learning for Music Genre Classification.
Transactions of the International Society for Music Information Retrieval. 1(1), 4-21. Abstract
(2018). Natural Language Processing for Music Knowledge Discovery.
Journal of New Music Research. Abstract
(2017). Open Knowledge Extraction Challenge 2017.
Extended Semantic Web Conference (ESWC 2017).
(2017). Open Knowledge Extraction Challenge 2017.
Extended Semantic Web Conference (ESWC 2017). Abstract
(2012). Past, Present and Future in Ethnomusicology: The Computational challenge.
ISMIR late breaking demo session, 13th International Society of Music Information Retrieval. Abstract
