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Congressos (Departament de Tecnologies de la Informació i les Comunicacions)

Congressos (Departament de Tecnologies de la Informació i les Comunicacions)

 

Actes de congressos de recerca, en accés obert, del Departament de Tecnologies de la Informació i de les Comunicacions de la UPF.

Recent Submissions

  • Lipovetzky, Nir; Geffner, Héctor (Association for the Advancement of Artificial Intelligence (AAAI), 2011)
    We define a probe to be a single action sequence computedgreedily from a given state that either terminates in the goalor fails. We show that by designing these probes carefullyusing a number of existing and new polynomial ...
  • Pons Puig, Jordi; Serrà Julià, Joan; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    We investigate supervised learning strategies that improve the training of neural network audio classifiers on small annotated collections. In particular, we study whether (i) a naive regularization of the solution space, ...
  • Slizovskaia, Olga; Kim, Leo; Haro Ortega, Gloria; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Can we perform an end-to-end music source separation with a variable number of sources using a deep learning model? This paper presents an extension of the Wave-UNet [1] model which allows end-to-end monaural ...
  • Germano, Fabrizio; Gómez, Vicenç; Le Mens, Gaël (ACM Association for Computer Machinery, 2019)
    Ranking algorithms play a crucial role in online platforms ranging from search engines to recommender systems. In this paper, we identify a surprising consequence of popularity-based rankings: the fewer the items reporting ...
  • Aragón, Pablo; Bermejo, Yago; Gómez, Vicenç; Kaltenbrunner, Andreas (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Decide Madrid is the civic technology of Madrid City Council which allows users to create and support online petitions. Despite the initial success, the platform is encountering problems with the growth of petition signing ...
  • Humbert, Ludovic; Whitmarsh, Tristan; De Craene, Mathieu; del Río Barquero, Luis Miguel; Fritscher, Karl; Schubert, Rainer; Eckstein, Felix; Link, Thomas; Frangi Caregnato, Alejandro (Institute of Electrical and Electronics Engineers (IEEE), 2010)
  • Whitmarsh, Tristan; Humbert, Ludovic; De Craene, Mathieu; del Río Barquero, Luis Miguel; Fritscher, Karl; Schubert, Rainer; Eckstein, Felix; Link, Thomas; Frangi Caregnato, Alejandro (Society of Photo Optical Instrumentation Engineers (SPIE), 2010)
    Area Bone Mineral Density (aBMD) measured by Dual-energy X-ray Absorptiometry (DXA) is an established criterion in the evaluation of hip fracture risk. The evaluation from these planar images, however, is limited to 2D ...
  • Albó, Laia; Butera Castelo, Rodrigo; Hernández Leo, Davinia (CEUR Workshop Proceedings, 2019)
    This paper presents a work-in-progress solution for planning hybrid Massive Open Online Courses (MOOC). The use of MOOCs in brick and mortar courses presents several design challenges. One of them ...
  • Pons Puig, Jordi; Nieto, Oriol; Prockup, Matthew; Schmidt, Erik M.; Ehmann, Andreas F.; Serra, Xavier (2017)
    The lack of data tends to limit the outcomes of deep learning research – specially, when dealing with end-to-end learning stacks processing raw data such as waveforms. In this study we make use of musical labels annotated ...
  • Pasarella Sánchez, Ana Edelmira; Lobo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    In this paper we show that the logical framework proposed by Becker et al. [1] to reason about security policy behavior in a trust management context can be captured by an operational framework that is based on the language ...
  • Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (International Society for Music Information Retrieval (ISMIR), 2017)
    This work aims at investigating cross-modal connections between audio and video sources in the task of musical instrument recognition. We also address in this work the understanding of the representations learned by ...
  • Gong, Rong; Caro Repetto, Rafael; Serra, Xavier (ACM Association for Computer Machinery, 2017)
    e data-driven computational research on automatic jingju (also known as Beijing or Peking opera) singing evaluation lacks a suitable and comprehensive a cappella singing audio dataset. In this work, we present an a ...
  • Dzhambazov, Georgi Bogomilov; Goranchev, Kamen (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    In this paper we present Sing Master - a new mobile application that allows singing enthusiasts to fulfil their dream: to learn singing. Sing Master is a game-like singing tutor that presents a series of singing exercises ...
  • Vujovic, Milica; Hernández Leo, Davinia (2019)
    In this paper we question the role of environmental sound on the process of CL. The first pilot study is presented where we investigated effects of environmental sound on EDA and voice VA of the participants. The created ...
  • Manathunga, Kalpani; Hernández Leo, Davinia (2019)
    Flow patterns (e.g., Pyramid or Snowball) formulate good practices to script collaborative learning scenarios, which have been experimented in small-scale settings widely. Applying flow patterns on large-scale contexts ...
  • Ferraro, Andrés; Bogdanov, Dmitry; Choi, Kyumin; Serra, Xavier (2018)
    There are many offline metrics that can be used as a reference for evaluation and optimization of the performance of recommender systems. Hybrid recommendation approaches are commonly used to improve some of those metrics ...
  • Pons Puig, Jordi; Nieto, Oriol; Prockup, Matthew; Schmidt, Erik M.; Ehmann, Andreas F.; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2018)
    The lack of data tends to limit the outcomes of deep learning research, particularly when dealing with end-to-end learning stacks processing raw data such as waveforms. In this study, 1.2M tracks annotated with musical ...
  • Ortega, Fabio J. M.; Giraldo, Sergio; Ramírez, Rafael,1966- (Machine Learning and Music (MML), 2017)
    A model is proposed for predicting expressive variations in dynamics for violin performances with the purpose of facilitating expressive performance learning by students. The model uses phrases rather than single notes ...
  • Ferraro, Andrés; Bogdanov, Dmitry; Yoon, Jisang; Kim, KwangSeob; Serra, Xavier (ACM Association for Computer Machinery, 2018)
    The ACM RecSys Challenge 2018 focuses on music recommendation in the context of automatic playlist continuation. In this paper, we describe our approach to the problem and the final hybrid system that was submitted to the ...
  • Gong, Rong; Serra, Xavier (International Speech Communication Association (ISCA), 2018)
    In this paper, we tackle the singing voice phoneme segmentation problem in the singing training scenario by using language independent information – onset and prior coarse duration. We propose a two-step method. In the ...

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