Publications-ppc
2018 (45)Bozkurt B, Germanakis I, Stylianouc Y. A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection. Computers in Biology and Medicine 2018; 100( ): 132-143. |
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Bozkurt B, Gulati S, Romani O, Serra X. MusicCritic: A technological framework to support online music teaching for large audiences. In: Forrest D. Proceedings of the International Society for Music Education 33rd World Conference on Music Education 1 ed. International Society for Music Education (ISME); 2018. p. 12-19. |
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Caro R, Pretto N, Chaachoo A, Bozkurt B, Serra X. An open corpus for the computational research of Arab-Andalusian music. In: Caro R, Pretto N, Chaachoo A, Bozkurt B, Serra X. Digital Libraries for Musicology (DLfM) 2018. 1 ed. 2018. p. 78-86. |
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Caro Repetto, Rafael. Música coreana en Barcelona: chamanismo, pansori y janggu.. Cuadernos de etnomusicología 2018; (11): 6-9. |
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Cuesta H, Gómez E. Measuring Interdependence in Unison Choir Singing. In: Gómez E Hu X, Humphrey E Benetos E (eds.). Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018. 1 ed. DBLP; 2018. p. 1-2. |
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Cuesta H, Gómez E, Martorell A, Loaiciga F. Analysis of Intonation in Unison Choir Singing. In: AA.VV.. 15th International Conference on Music Perception and Cognition (ICMPC). 1 ed. 2018. |
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Dalmazzo D, Tassani S, Ramírez R. A Machine learning approach to violin bow technique classification: a comparison between IMU and MOCAP systems. In: Matthies DJC, Haescher M, Yordanova K, Bieber G, Schröder M, Kirste T, Urban, B (eds.). 5th international Workshop on Sensor-based Activity Recognition and Interaction, Proceedings. 1 ed. Berlin: Association for Computing Machinery; 2018. |
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Demirel E, Bozkurt B, Serra X. Automatic makam recognition using chroma features. In: AA. VV. International Workshop on Folk Music Analysis 2018. 1 ed. Aristotle University of Thessaloniki, Greece; 2018. p. 19-24. |
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Eremenko V, Demirel E, Bozkurt B, Serra X. Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research. In: Gómez E Hu X, Humphrey E Benetos E (eds.). Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018. 1 ed. DBLP; 2018. p. 483-490. |
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Favory X, Fonseca E, Font F, Serra X. Facilitating the manual annotation of sounds when using large taxonomies. arxiv.org 2018; ( ). |
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Favory, Xavier; Fonseca, Eduardo; Font, Frederic; Serra, Xavier. Facilitating the Manual Annotation of Sounds When Using Large Taxonomies. In: Balandin S, Cinotti T, Viola F, Tyutina T. Proceedings of the 23rd Conference of Open Innovations Association FRUCT. 1 ed. FRUCT; 2018. p. 447-451. |
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Fernández-Macías E, Gomez E, Hernández-Orallo J, Loe B, Martens B, Martínez-Plumed F, Tolan S. A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. In: AA.VV.. 1st Workshop on architectures and evaluation for generality, autonomy and progress in AI. 1 ed. 2018. |
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Ferraro A, Bogdanov D, Choi K, Serra X. Using offline metrics and user behavior analysis to combine multiple systems for music recommendation. In: -. RecSys 2018 Workshop on Offline Evaluation of Recommender Systems. 1 ed. 2018. |
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Ferraro A, Bogdanov D, Yoon J, Kim KS, Serra X. Automatic playlist continuation using a hybrid recommender system combining features from text and audio. In: -. Workshop on the RecSys Challenge 2018. 1 ed. 2018. |
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Fonseca E, Gong R, Serra X. A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification. In: AA. VV. The 15th International Sound & Music Computing Conference. 1 ed. 2018. p. 265-272. |
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Fonseca E, Plakal M, Font F, Ellis D P W, Favory X, Pons J, Serra X. General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. In: -. Workshop on Detection and Classification of Acoustic Scenes and Events. 1 ed. 2018. p. 69-73. |
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Giraldo S, Ortega A, Perez A, Ramírez R, Waddell G, Williamon A. Automatic assessment of violin performance using dynamic time warping classification. In: -. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 1 ed. IEEE; 2018. p. 1-3. |
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Gomez E, Blaauw M, Bonada J, Chandna P, Cuesta H. Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. In: AA.VV.. 2018 Joint Workshop on Machine Learning for Music. 1 ed. arXiv.org; 2018. p. 1-6. |
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Gómez E, Guerrero A, Rodríguez S. Cante flamenco tech: Aprendizaje del cante con la ayuda de la tecnología. In: AA.VV.. V Congreso Interdisciplinar INVESTIGACIÓN Y FLAMENCO (INFLA). 1 ed. 2018. |