Browsing by Subject "Machine Learning"

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  • Dalmazzo, David; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2017)
    We train and evaluate two machine learning models for predicting fingering in violin performances using motion and EMG sensors integrated in the Myo device. Our aim is twofold: first, provide a fingering recognition model ...
  • Laurier, Cyril François (Universitat Pompeu Fabra, 2011-09-19)
    In this work, we focus on automatically classifying music by mood. For this purpose, we propose computational models using information extracted from the audio signal. The foundations of such algorithms are based on ...
  • Romeo, Lauren; Martínez Alonso, Héctor; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2013)
    This paper describes an effort to capture the sense alternation of dot-type nominals using Word Sense Induction (WSI). We propose dot-type nominals generate more semantically consistent groupings when clustered into more ...
  • Mille, Simon (Universitat Pompeu Fabra, 2014-07-25)
    The present Ph.D. thesis addresses the problem of deep data-driven Natural Language Generation (NLG), and in particular the role of proper corpus annotation schemata for stochastic sentence realization. The lack of multilevel ...
  • Valero León, Andrés (2017-10-06)
    Nowadays there are an enormous number of attacks over the Internet that makes our information to be continuously at risk. Intrusion Detection Systems (IDS) are used as a second line of defense. They observe suspicious actions ...
  • Parada Medina, Raúl (Universitat Pompeu Fabra, 2016-03-29)
    The Internet of Things (IOT) technologies introduced the “things” entity to interact with computers and people, being a key factor to enhance services in the Smart City context. An example of IoT technology is radio-frequency ...
  • Romeo, Lauren; Mendes, Sara; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2013)
    The work presented here depicts experiments toward the automatic classification of complex-type nominals using distributional information. We conducted two experiments: classifying complex-type nominals as members of ...