Publications-ppc
2019 (51)Pons J, Serra X. musicnn: pre-trained convolutional neural networks for music audio tagging. In: -. 20th International Society for Music Information Retrieval Conference 1 ed. Society for Music Information Retrieval; 2019. |
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Porcaro L, Castillo C, Gómez E. Music Recommendation Diversity: A Tentative Framework and Preliminary Results. In: -. Music Recommendation Diversity:A Tentative Framework and Preliminary Results. 1 ed. 1st Workshop on Designing Human-Centric MIR Systems (wsHCMIR19), co-located at 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019); 2019. p. 11-15. |
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Porcaro L, Gómez E. 20 years of playlists: A statistical analysis on popularity and diversity. In: -. 20th Annual Conference of the International Society for Music Information Retrieval (ISMIR). 1 ed. Delft: ISMIR; 2019. p. 130-136. |
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Porcaro L, Gómez E. A Model for evaluating popularity and semantic information variations in radio listening sessions. In: Sar Shalom O, Jannach D, Guy I (eds.). Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems 1 ed. AAchen: CEUR Workshop Proceedings; 2019. |
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Porcaro L, Saggion H. Recognizing musical entities in user-generated content. Computación y sistemas 2019; 23(3): 1079-1088. |
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Porcaro L, Saggion H. Recognizing Musical Entities in User-generated Content. In: -. International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2019. 1 ed. 2019. |
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Ramires A, Serra X. Data augmentation for instrument classification robust to audio effects. In: AA VV. Proceedings of the 22nd International Conference on Digital Audio Effects (DAFx-19). 1 ed. Birmingham: Dafx; 2019. p. 1-6. |
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Sarasúa, Álvaro; Urbano, Julián; Gómez Gutiérrez, Emilia. Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements. Frontiers in Digital Humanities 2019; ( ). |
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Sayis B, Crowell C, Benitez J, Ramirez R, Pares N. Computational modeling of psycho-physiological arousal and social initiation of children with autism in interventions through full-body interaction. In: AA.VV.. Proceedings 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). 1 ed. Cambridge: IEEE; 2019. p. 573-579. |
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Slizovskaia O, Kim L, Haro G, Gómez E. End-to-End Sound Source Separation Conditioned On Instrument Labels. In: -. 2019 International Conference on Acoustics, Speech, and Signal Processing. 1 ed. 2019. p. 306-310. |
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Weigl DM, Goebl W, Crawford T, Gkiokas A, Gutierrez NF, Porter A, Santos P, et al.. Interweaving and enriching digital music collections for scholarship, performance, and enjoyment. In: -. Proceedings of DLfM 2019. The 6th International Conference on Digital Libraries for Musicology. 1 ed. New York: Association for Computing Machinery; 2019. p. 84-88. |
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Won M, Chun S, Nieto O, Serra X. Automatic music tagging with Harmonic CNN. In: -. 20th International Society for Music Information Retrieval Conference 1 ed. Society for Music Information Retrieval; 2019. |
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Won M, Chun S, Serra X. Toward Interpretable Music Tagging with Self-Attention. arXiv.org; 2019. |
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Yesiler F, Tralie C, Correya A, Silva DF, Tovstogan P, Gómez E, Serra X. Da-TACOS: A data set for cover song identification and understanding. In: -. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). 1 ed. Society for Music Information Retrieval (ISMIR 2019); 2019. p. 327-334. |
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Zinemanas P, Cancela P, Rocamora M. End-to-end Convolutional Neural Networks for Sound Event Detection in Urban Environments. In: Deart V, Ben Rejeb T, Balandin S. Proceedings of the 24th Conference of Open Innovations Association FRUCT. 1 ed. Moscou: IEEE; 2019. p. 533-539. |
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Zinemanas P, Cancela P, Rocamora M. MAVD: A Dataset for Sound Event Detection in Urban Environments. In: AA. VV.. Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019). 1 ed. New York: 2019. p. 236-267. |
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Zinemanas P, Rocamora M, Jure L. Improving Csounds Ambisonics decoders. In: Di Furia A, Petrolat A (ed.). Proceedings The Fifth International Csound Conference (ICSC2019). 1 ed. Cagly: 2019. p. 1-6. |
2018 (45)Baysal O, Bozkurt B, Sager T, Dogrusoz N. Towards a Hybrid Assessment Model For Music Conservatory Entrance Exams. In: AA. VV. 2nd International Conference on Education and Learning. 1 ed. 2018. p. 81-96. |
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Beardsley M, Hernández Leo D, Ramírez R. Seeking reproducibility: assessing a multimodal study of the testing effect. Journal of Computer Assisted Learning 2018; 34(4): 378-386. |
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Bogdanov D, Porter A, Urbano J, Schreiber H. The MediaEval 2018 AcousticBrainz genre task: content-based music genre recognition from multiple sources. In: -. MediaEval'18. 1 ed. 2018. |