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
(2016). Finding and Expanding Hypernymic Relations in the Music Domain.
19th International Conference of the Catalan Association for Artificial Intelligence (CCIA). Abstract
(2017). ELMDist: A vector space model with words and MusicBrainz entities.
Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017. Abstract
(2017). Freesound Datasets: A Platform for the Creation of Open Audio Datasets.
18th International Society for Music Information Retrieval Conference. Abstract
(2014). Extending Tagging Ontologies with Domain Specific Knowledge.
International Semantic Web Conference. 209-2012. 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
(2015). FlaBase: Towards the Creation of a Flamenco Music Knowledge Base.
16th International Society for Music Information Retrieval Conference. Abstract
(2018). MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets.
MediaEval 2018 Workshop.
(2014). Automatic Creation of Knowledge Graphs from Digital Musical Document Libraries.
Conference in Interdisciplinary Musicology. Abstract
(2017). Knowledge Extraction and Representation Learning for Music Recommendation and Classification.
Department of Information and Communication Technologies. 203. Abstract
(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
(2016). ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain.
Language Resources and Evaluation Conference (LREC 2016). 3312-3317. Abstract
(2015). A Semantic-based Approach for Artist Similarity.
16th International Society for Music Information Retrieval Conference. 100-106. Abstract
(2018). Natural Language Processing for Music Knowledge Discovery.
Journal of New Music Research. Abstract
(2015). A Rule-Based Approach to Extracting Relations from Music Tidbits.
2nd Workshop on Knowledge Extraction from Text, WWW 2015. Abstract
(2016). Knowledge Is Out There: A New Step in the Evolution of Music Digital Libraries.
Fontes Artis Musicae. 63(4), 285-298. Abstract
(2017). A Deep Multimodal Approach for Cold-start Music Recommendation.
2nd Workshop on Deep Learning for Recommender Systems, at RecSys 2017. Abstract
(2014). Harvesting and Structuring Social Data in Music Information Retrieval.
Extended Semantic Web Conference (ESWC 2014). Abstract
(2016). Sound and Music Recommendation with Knowledge Graphs.
ACM Transactions on Intelligent Systems and Technology (TIST). 8(2), 1-21. 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
(2015). Knowledge Acquisition from Music Digital Libraries.
International Association of Music Libraries and International Musicological Society IAML/IMS Conference. Abstract
(2018). Multimodal Deep Learning for Music Genre Classification.
Transactions of the International Society for Music Information Retrieval. 1(1), 4-21. Abstract
(2012). Past, Present and Future in Ethnomusicology: The Computational challenge.
ISMIR late breaking demo session, 13th International Society of Music Information Retrieval. Abstract
(2016). Information Extraction for Knowledge Base Construction in the Music Domain.
Data & Knowledge Engineering. 106, 70-83. Abstract
(2015). A Semantic Hybrid Approach for Sound Recommendation.
24th International World Wide Web Conference (WWW 2015). Abstract
