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Sergio Oramas
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2020 – today
- 2023
- [c27]Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon:
Contrastive Learning for Cross-Modal Artist Retrieval. ISMIR 2023: 375-382 - [i8]Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon:
Contrastive Learning for Cross-modal Artist Retrieval. CoRR abs/2308.06556 (2023) - 2022
- [j4]Filip Korzeniowski, Sergio Oramas, Fabien Gouyon:
Artist Similarity for Everyone: A Graph Neural Network Approach. Trans. Int. Soc. Music. Inf. Retr. 5(1): 129-140 (2022) - [c26]Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann:
Supervised and Unsupervised Learning of Audio Representations for Music Understanding. ISMIR 2022: 256-263 - [i7]Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann:
Supervised and Unsupervised Learning of Audio Representations for Music Understanding. CoRR abs/2210.03799 (2022) - 2021
- [c25]Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra:
Multimodal Metric Learning for Tag-Based Music Retrieval. ICASSP 2021: 591-595 - [c24]Filip Korzeniowski, Sergio Oramas, Fabien Gouyon:
Artist Similarity Using Graph Neural Networks. ISMIR 2021: 350-357 - [c23]Sergio Oramas, Massimo Quadrana, Fabien Gouyon:
Bootstrapping a Music Voice Assistant with Weak Supervision. NAACL-HLT (Industry Papers) 2021: 49-55 - [c22]Ching-Wei Chen, Rosie Jones, Zahra Nazari, Longqi Yang, Maria Eskevich, Gareth James Francis Jones, Sergio Oramas:
PodRecs 2021: 2nd Workshop on Podcast Recommendations. RecSys 2021: 796-798 - [i6]Filip Korzeniowski, Sergio Oramas, Fabien Gouyon:
Artist Similarity with Graph Neural Networks. CoRR abs/2107.14541 (2021) - 2020
- [c21]Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt:
Mood Classification Using Listening Data. ISMIR 2020: 542-549 - [c20]Andres Ferraro, Sergio Oramas, Massimo Quadrana, Xavier Serra:
Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. ComplexRec-ImpactRS@RecSys 2020 - [i5]Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt:
Mood Classification Using Listening Data. CoRR abs/2010.11512 (2020) - [i4]Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra:
Multimodal Metric Learning for Tag-based Music Retrieval. CoRR abs/2010.16030 (2020)
2010 – 2019
- 2019
- [c19]Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas:
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. ISMIR 2019: 360-367 - 2018
- [j3]Sergio Oramas, Francesco Barbieri, Oriol Nieto, Xavier Serra:
Multimodal Deep Learning for Music Genre Classification. Trans. Int. Soc. Music. Inf. Retr. 1(1): 4-21 (2018) - [c18]Sergio Oramas, Dmitry Bogdanov, Alastair Porter:
MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets. MediaEval 2018 - [c17]José Camacho-Collados, Claudio Delli Bovi, Luis Espinosa Anke, Sergio Oramas, Tommaso Pasini, Enrico Santus, Vered Shwartz, Roberto Navigli, Horacio Saggion:
SemEval-2018 Task 9: Hypernym Discovery. SemEval@NAACL-HLT 2018: 712-724 - [i3]Sergio Oramas, Luis Espinosa Anke, Francisco Gómez, Xavier Serra:
Natural Language Processing for Music Knowledge Discovery. CoRR abs/1807.02200 (2018) - 2017
- [b1]Sergio Oramas:
Knowledge extraction and representation learning for music recommendation and classification. Pompeu Fabra University, Spain, 2017 - [j2]Sergio Oramas, Vito Claudio Ostuni, Tommaso Di Noia, Xavier Serra, Eugenio Di Sciascio:
Sound and Music Recommendation with Knowledge Graphs. ACM Trans. Intell. Syst. Technol. 8(2): 21:1-21:21 (2017) - [c16]René Speck, Michael Röder, Sergio Oramas, Luis Espinosa Anke, Axel-Cyrille Ngonga Ngomo:
Open Knowledge Extraction Challenge 2017. SemWebEval@ESWC 2017: 35-48 - [c15]Luis Espinosa Anke, Sergio Oramas, Horacio Saggion, Xavier Serra:
ELMDist: A Vector Space Model with Words and MusicBrainz Entities. ESWC (Satellite Events) 2017: 355-366 - [c14]Sergio Oramas, Oriol Nieto, Francesco Barbieri, Xavier Serra:
Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features. ISMIR 2017: 23-30 - [c13]Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra:
Freesound Datasets: A Platform for the Creation of Open Audio Datasets. ISMIR 2017: 486-493 - [c12]Sergio Oramas, Oriol Nieto, Mohamed Sordo, Xavier Serra:
A Deep Multimodal Approach for Cold-start Music Recommendation. DLRS@RecSys 2017: 32-37 - [i2]Sergio Oramas, Oriol Nieto, Mohamed Sordo, Xavier Serra:
A Deep Multimodal Approach for Cold-start Music Recommendation. CoRR abs/1706.09739 (2017) - [i1]Sergio Oramas, Oriol Nieto, Francesco Barbieri, Xavier Serra:
Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features. CoRR abs/1707.04916 (2017) - 2016
- [j1]Sergio Oramas, Luis Espinosa Anke, Mohamed Sordo, Horacio Saggion, Xavier Serra:
Information extraction for knowledge base construction in the music domain. Data Knowl. Eng. 106: 70-83 (2016) - [c11]Luis Espinosa Anke, Sergio Oramas, José Camacho-Collados, Horacio Saggion:
Finding and Expanding Hypernymic Relations in the Music Domain. CCIA 2016: 291-296 - [c10]Sergio Oramas, Luis Espinosa Anke, Aonghus Lawlor, Xavier Serra, Horacio Saggion:
Exploring Customer Reviews for Music Genre Classification and Evolutionary Studies. ISMIR 2016: 150-156 - [c9]Sergio Oramas, Luis Espinosa Anke, Mohamed Sordo, Horacio Saggion, Xavier Serra:
ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain. LREC 2016 - 2015
- [c8]Sergio Oramas, Mohamed Sordo, Luis Espinosa Anke, Xavier Serra:
A Semantic-Based Approach for Artist Similarity. ISMIR 2015: 100-106 - [c7]Sergio Oramas, Francisco Gómez, Emilia Gómez, Joaquín Mora:
FlaBase: Towards the Creation of a Flamenco Music Knowledge Base. ISMIR 2015: 378-384 - [c6]Mohamed Sordo, Sergio Oramas, Luis Espinosa Anke:
Extracting Relations from Unstructured Text Sources for Music Recommendation. NLDB 2015: 369-382 - [c5]Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Sergio Oramas, Xavier Serra:
A Semantic Hybrid Approach for Sound Recommendation. WWW (Companion Volume) 2015: 85-86 - [c4]Sergio Oramas, Mohamed Sordo, Luis Espinosa Anke:
A Rule-Based Approach to Extracting Relations from Music Tidbits. WWW (Companion Volume) 2015: 661-666 - 2014
- [c3]Sergio Oramas:
Harvesting and Structuring Social Data in Music Information Retrieval. ESWC 2014: 817-826 - [c2]Frederic Font, Sergio Oramas, György Fazekas, Xavier Serra:
Extending Tagging Ontologies with Domain Specific Knowledge. ISWC (Posters & Demos) 2014: 209-212 - 2012
- [c1]Aggelos Pikrakis, Francisco Gómez, Sergio Oramas, José Miguel Díaz-Báñez, Joaquín Mora, Francisco Escobar-Borrego, Emilia Gómez, Justin Salamon:
Tracking Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings. ISMIR 2012: 421-426
Coauthor Index
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