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Publication search results
found 40 matches
- 2023
- Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon:
Contrastive Learning for Cross-Modal Artist Retrieval. ISMIR 2023: 375-382 - Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon:
Contrastive Learning for Cross-modal Artist Retrieval. CoRR abs/2308.06556 (2023) - 2022
- 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) - 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 - 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
- Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra:
Multimodal Metric Learning for Tag-Based Music Retrieval. ICASSP 2021: 591-595 - Filip Korzeniowski, Sergio Oramas, Fabien Gouyon:
Artist Similarity Using Graph Neural Networks. ISMIR 2021: 350-357 - Sergio Oramas, Massimo Quadrana, Fabien Gouyon:
Bootstrapping a Music Voice Assistant with Weak Supervision. NAACL-HLT (Industry Papers) 2021: 49-55 - 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 - Filip Korzeniowski, Sergio Oramas, Fabien Gouyon:
Artist Similarity with Graph Neural Networks. CoRR abs/2107.14541 (2021) - 2020
- Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt:
Mood Classification Using Listening Data. ISMIR 2020: 542-549 - Andres Ferraro, Sergio Oramas, Massimo Quadrana, Xavier Serra:
Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. ComplexRec-ImpactRS@RecSys 2020 - Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt:
Mood Classification Using Listening Data. CoRR abs/2010.11512 (2020) - Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra:
Multimodal Metric Learning for Tag-based Music Retrieval. CoRR abs/2010.16030 (2020) - 2019
- 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
- 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) - Sergio Oramas, Dmitry Bogdanov, Alastair Porter:
MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets. MediaEval 2018 - 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 - Sergio Oramas, Luis Espinosa Anke, Francisco Gómez, Xavier Serra:
Natural Language Processing for Music Knowledge Discovery. CoRR abs/1807.02200 (2018) - 2017
- Sergio Oramas:
Knowledge extraction and representation learning for music recommendation and classification. Pompeu Fabra University, Spain, 2017 - 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) - 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 - René Speck, Michael Röder, Sergio Oramas, Luis Espinosa Anke, Axel-Cyrille Ngonga Ngomo:
Open Knowledge Extraction Challenge 2017. SemWebEval@ESWC 2017: 35-48 - 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 - 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 - Sergio Oramas, Oriol Nieto, Mohamed Sordo, Xavier Serra:
A Deep Multimodal Approach for Cold-start Music Recommendation. DLRS@RecSys 2017: 32-37 - 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) - Sergio Oramas, Oriol Nieto, Mohamed Sordo, Xavier Serra:
A Deep Multimodal Approach for Cold-start Music Recommendation. CoRR abs/1706.09739 (2017) - 2016
- 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) - Luis Espinosa Anke, Sergio Oramas, José Camacho-Collados, Horacio Saggion:
Finding and Expanding Hypernymic Relations in the Music Domain. CCIA 2016: 291-296
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