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José Manuel Iñesta Quereda

Biographic Data

ID2084576
NAMEJosé Manuel Iñesta Quereda
GIVEN NAMESJosé Manuel Iñesta
FAMILY NAMEQuereda
SIGNATUREQUEREDA J M I
AFFILIATIONSUniversity of Alicante
ORCID0000-0001-6184-4694
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS1
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2005
LATEST PUBLICATION YEAR2024
H-INDEX1
  • La propagación del conocimiento científico un modelo fractal

    Open Access•Pedro Antonio Pomata Varó, Fernando Miguel Pérez Herranz et al.•ARTICLE•Revista Española de Investigaciones…•2024•References: 1

    En este trabsio se propone un modelo tractal -la herramienta matemática empleada por Mandelbrot en el estudio de fenómenos naturales de nuestro entorno- para dar cuenta de la propagación de la ciencia desde una nueva perspectiva, lo que nos permite extraer algunas consecuencias sobre un capítulo de la epistemología de gran repercusión a partir de la proyección del libro de Kuhn La estructura de las revoluciones científicas (1962): la transmisión,…

  • Hacia la codificación digital de la notación mensural blanca hispánica

    Open Access•David Rizo Valero, Beatriz Pascual Sánchez et al.•ARTICLE•Anuario Musical•2017

    En este trabajo se presentan los elementos necesarios para codificar digitalmente música preservada en manuscritos de los siglos XVI y XVII. Se presentan soluciones, propuestas para superar las dificultades que generan algunos aspectos que hacen esta notación diferente de la notación occidental moderna. Los problemas abordados son, por ejemplo, la ausencia de líneas divisorias o la duración de las figuras, que se basan en el contexto. También se …

  • New Directions in Music and Machine Learning

    Darrell Conklin, Rafael Ramirez et al.•ARTICLE•Journal of New Music Research•2014

    Further special thanks are given to Alan Marsden, who enthusiastically supported this Special Issue since its inception

  • Melodic Identification Using Probabilistic Tree Automata

    José F Bernabeu, Jorge Calera-Rubio et al.•ARTICLE•Journal of New Music Research•2011•Cited by: 1•References: 20

    Similarity computation is a difficult issue in music information retrieval tasks, because it tries to emulate the special ability that humans show for pattern recognition in general, and particularly in the presence of noisy data. A number of works have addressed the problem of what is the best representation for symbolic music in this context. The tree representation, using rhythm for defining the tree structure and pitch information for leaf an…

  • La propagación del conocimiento científico

    Open Access•Pedro Antonio Pomata Varó, Fernando Miguel Pérez Herranz et al.•ARTICLE•Revista Española de Investigaciones…•2006

    This essay presents a fractal model the mathematical key used by Mandelbrot in the study of natural phenomena surrounding us in order to design a new image of the propagation of science. Our model leads to some conclusions about an interesting chapter of epistemology, using the strong influence of Kuhn's book The Structure of Scientific Revolutions (1962), on the transmission, acceptance and stability of scientific knowledge. This content downloa…

  • Style recognition through statistical event models

    Carlos Pérez-Sancho, José Manuel Iñesta Quereda et al.•ARTICLE•Journal of New Music Research•2005

    The automatic classification of music fragments into style classes is one challenging problem within the music information retrieval (MIR) domain and also for the understanding of music style perception. This has a number of applications, including the indexation and exploration of musical databases. Some technologies employed in text classification can be applied to this problem. The key point here is to establish the music equivalent to the wor…

  • Melodic Identification Using Probabilistic Tree Automata

    José F Bernabeu, Jorge Calera-Rubio et al.•ARTICLE•Journal of New Music Research•2011•Cited by: 1•References: 20

    Similarity computation is a difficult issue in music information retrieval tasks, because it tries to emulate the special ability that humans show for pattern recognition in general, and particularly in the presence of noisy data. A number of works have addressed the problem of what is the best representation for symbolic music in this context. The tree representation, using rhythm for defining the tree structure and pitch information for leaf an…

  • Style recognition through statistical event models

    Carlos Pérez-Sancho, José Manuel Iñesta Quereda et al.•ARTICLE•Journal of New Music Research•2005

    The automatic classification of music fragments into style classes is one challenging problem within the music information retrieval (MIR) domain and also for the understanding of music style perception. This has a number of applications, including the indexation and exploration of musical databases. Some technologies employed in text classification can be applied to this problem. The key point here is to establish the music equivalent to the wor…

  • La propagación del conocimiento científico

    Open Access•Pedro Antonio Pomata Varó, Fernando Miguel Pérez Herranz et al.•ARTICLE•Revista Española de Investigaciones…•2006

    This essay presents a fractal model the mathematical key used by Mandelbrot in the study of natural phenomena surrounding us in order to design a new image of the propagation of science. Our model leads to some conclusions about an interesting chapter of epistemology, using the strong influence of Kuhn's book The Structure of Scientific Revolutions (1962), on the transmission, acceptance and stability of scientific knowledge. This content downloa…

  • Melodic Identification Using Probabilistic Tree Automata

    José F Bernabeu, Jorge Calera-Rubio et al.•ARTICLE•Journal of New Music Research•2011•Cited by: 1•References: 20

    Similarity computation is a difficult issue in music information retrieval tasks, because it tries to emulate the special ability that humans show for pattern recognition in general, and particularly in the presence of noisy data. A number of works have addressed the problem of what is the best representation for symbolic music in this context. The tree representation, using rhythm for defining the tree structure and pitch information for leaf an…

  • New Directions in Music and Machine Learning

    Darrell Conklin, Rafael Ramirez et al.•ARTICLE•Journal of New Music Research•2014

    Further special thanks are given to Alan Marsden, who enthusiastically supported this Special Issue since its inception

  • Hacia la codificación digital de la notación mensural blanca hispánica

    Open Access•David Rizo Valero, Beatriz Pascual Sánchez et al.•ARTICLE•Anuario Musical•2017

    En este trabajo se presentan los elementos necesarios para codificar digitalmente música preservada en manuscritos de los siglos XVI y XVII. Se presentan soluciones, propuestas para superar las dificultades que generan algunos aspectos que hacen esta notación diferente de la notación occidental moderna. Los problemas abordados son, por ejemplo, la ausencia de líneas divisorias o la duración de las figuras, que se basan en el contexto. También se …

  • La propagación del conocimiento científico un modelo fractal

    Open Access•Pedro Antonio Pomata Varó, Fernando Miguel Pérez Herranz et al.•ARTICLE•Revista Española de Investigaciones…•2024•References: 1

    En este trabsio se propone un modelo tractal -la herramienta matemática empleada por Mandelbrot en el estudio de fenómenos naturales de nuestro entorno- para dar cuenta de la propagación de la ciencia desde una nueva perspectiva, lo que nos permite extraer algunas consecuencias sobre un capítulo de la epistemología de gran repercusión a partir de la proyección del libro de Kuhn La estructura de las revoluciones científicas (1962): la transmisión,…

Mathematics (5 works) · Artificial Intelligence (3 works) · Computer Science (3 works) · Music and Audio Processing (3 works) · Advertising and Communication Studies (2 works) · Fractal (2 works) · Music Information Retrieval (2 works) · Music Technology and Sound Studies (2 works) · Psychology Research and Bibliometrics (2 works) · Algorithm (1 work)

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