Biblio

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Pikrakis, A., Gómez F., Oramas S., Díaz-Báñez J. M., Mora J., Escobar Borrego F., et al. (2012).  Tracking Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). Abstract
application/pdf iconPattern-Flamenco-ISMIR2012.pdf
S
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., 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
application/pdf iconpostprint version
Ostuni, V. C., Oramas S., Di Noia T., Serra X., & Di Sciascio E. (2015).  A Semantic Hybrid Approach for Sound Recommendation. 24th International World Wide Web Conference (WWW 2015). Abstract
application/pdf iconmain.pdf
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Oramas, S., Sordo M., & Espinosa-Anke L. (2015).  A Rule-Based Approach to Extracting Relations from Music Tidbits. 2nd Workshop on Knowledge Extraction from Text, WWW 2015. Abstract
application/pdf iconsoramas_msordo_lespinsosa_ket2015.pdf
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Tizón, M., Gómez F., & Oramas S. (2013).  Perceived Emotions in Phrygian Mode In Musically Trained Children. 3rd International Conference in Music & Emotion. Abstract
Oramas, S., & Cornelis O. (2012).  Past, Present and Future in Ethnomusicology: The Computational challenge. ISMIR late breaking demo session, 13th International Society of Music Information Retrieval. Abstract
application/pdf iconLBD11.pdf
O
Speck, R., Röder M., Oramas S., Espinosa-Anke L., & Ngonga Ngomo A. (2017).  Open Knowledge Extraction Challenge 2017. Extended Semantic Web Conference (ESWC 2017).
Speck, R., Röder M., Oramas S., Espinosa-Anke L., & Ngonga Ngomo A. (2017).  Open Knowledge Extraction Challenge 2017. Extended Semantic Web Conference (ESWC 2017). Abstract
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Oramas, S., Espinosa-Anke L., Gómez F., & Serra X. (2018).  Natural Language Processing for Music Knowledge Discovery. Journal of New Music Research. Abstract
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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., 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., Bogdanov D., & Porter A. (2018).  MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets. MediaEval 2018 Workshop.
K
Oramas, S., & Sordo M. (2016).  Knowledge Is Out There: A New Step in the Evolution of Music Digital Libraries. Fontes Artis Musicae. 63(4), 285-298. Abstract
Oramas, S. (2017).  Knowledge Extraction and Representation Learning for Music Recommendation and Classification. Department of Information and Communication Technologies. 203. Abstract
Oramas, S., & Sordo M. (2015).  Knowledge Acquisition from Music Digital Libraries. International Association of Music Libraries and International Musicological Society IAML/IMS Conference. Abstract
application/pdf iconPresentation slides
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Oramas, S., Espinosa-Anke L., Sordo M., Saggion H., & Serra X. (2016).  Information Extraction for Knowledge Base Construction in the Music Domain. Data & Knowledge Engineering. 106, 70-83. Abstract
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Oramas, S. (2014).  Harvesting and Structuring Social Data in Music Information Retrieval. Extended Semantic Web Conference (ESWC 2014). Abstract
application/pdf iconPhD_Prop_SergioOramas.pdf
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Fonseca, E., Pons J., Favory X., Font F., Bogdanov D., Ferraro A., et al. (2017).  Freesound Datasets: A Platform for the Creation of Open Audio Datasets. 18th International Society for Music Information Retrieval Conference. Abstract
Oramas, S., Gómez F., Gómez E., & Mora J. (2015).  FlaBase: Towards the Creation of a Flamenco Music Knowledge Base. 16th International Society for Music Information Retrieval Conference. Abstract
application/pdf iconflabase.pdf
Espinosa-Anke, L., Oramas S., Camacho-Collados J., & Saggion H. (2016).  Finding and Expanding Hypernymic Relations in the Music Domain. 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA). Abstract
application/pdf iconCCIA16.pdf
E
Sordo, M., Oramas S., & Espinosa-Anke L. (2015).  Extracting Relations from Unstructured Text Sources for Music Recommendation. 20th International Conference on Applications of Natural Language to Information Systems. Abstract
application/pdf iconnldb2015_msordo_soramas_lespinosa.pdf
Font, F., Oramas S., Fazekas G., & Serra X. (2014).  Extending Tagging Ontologies with Domain Specific Knowledge. International Semantic Web Conference. 209-2012. Abstract
application/pdf iconFull text
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
Espinosa-Anke, L., Oramas S., Saggion H., & Serra X. (2017).  ELMDist: A vector space model with words and MusicBrainz entities. Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017. Abstract
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