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2nd International Workshop on Reading Music Systems

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Delft, November 2

PRAIg '18 / +pics

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12th international workshop on Machine Learning and Music

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Würzburg (Germany): September 16, 2019

Pattern Recognition and Artificial Intelligence Group

Home:

Welcome to the page of the Pattern Recognition and Artificial Intelligence Group of the University of Alicante. Here you will find information about the members of our group, our publications and an overview of our activities. Check the events page if you want information about upcoming events such as workshops, tutorials or special issues of journals.

Our group is part of the Department of Software and Computing Systems at the University of Alicante.

Working Areas:

News:

  • 2019-06-17: New paper accepted: J. R. Rico-Juan, A.-J. Gallego, J. Calvo-Zaragoza: "Automatic detection of inconsistencies between numerical scores and textual feedback in peer-assessment processes with machine learning". In: Computers & Education
  • 2019-06-12: New paper accepted: A.J. Gallego, P. Gil, A.Pertusa, R.B. Fisher: "Semantic segmentation of SLAR imagery with Convolutional LSTM Selectional AutoEncoders". In: Remote Sensing.
  • 2019-06-10: New paper accepted: M. A. Roman, A. Pertusa, J. Calvo-Zaragoza: "A Holistic Approach to Polyphonic Music Transcription with Neural Networks". In: 20th annual conference of the International Society for Music Information Retrieval (ISMIR), Delft (Netherlan
  • 2019-06-10: New paper accepted: Y. Ju, S. Howes, C. McKay, N. Condit-Schultz, J. Calvo-Zaragoza, I. Fujinaga: "An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic Formats". In: 20th annual conference of the International Society fo
  • 2019-06-10: New paper accepted: A. Pacha, J. Calvo-Zaragoza, J. Hajič, jr.: "Learning Notation Graph Construction for Full-Pipeline Optical Music Recognition". In: 20th annual conference of the International Society for Music Information Retrieval (ISMIR),
  • 2019-06-04: New paper accepted: M. Alfaro-Contreras, J. Calvo-Zaragoza, Jose M. Iñesta: "Approaching End-to-End Optical Music Recognition for Homophonic Scores". In: 9th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2019) Madrid, Spain. July 1-
  • 2019-06-04: New paper accepted: A. Nuñez-Alcover, P. J. Ponce de León, J. Calvo-Zaragoza: "Glyph and Position Classification of Music Symbols in Early Music Manuscripts". In: 9th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2019) Madrid, Spain
  • 2019-06-02: New paper accepted: A.-J. Gallego, A. Pertusa and M. Bernabeu: "Multi-Label Logo Classification using Convolutional Neural Networks". In: 9th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2019) Madrid, Spain. July 1-4
  • 2019-06-02: New paper accepted: T.N. Mateiu, A.-J. Gallego and J. Calvo-Zaragoza: "Domain Adaptation for Handwritten Symbol Recognition: A Case of Study in Old Music Manuscripts". In: 9th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2019) Madr
  • 2019-05-31: New communication presented: María Alfaro has presented the paper "On the Impact of the Music Encoding for Optical Music Recognition". In: Music Encoding Conference 2019, Vienna.
  • 2019-05-21: New paper accepted: J. Calvo-Zaragoza, A. H. Toselli, E. Vidal: "Music Symbol Sequence Indexing in Medieval Plainchant Manuscripts". In: 15th International Conference on Document Analysis and Recognition (ICDAR 2019)
  • 2019-05-09: The application to organize the 12th Int. Workshop on Music and Machine Learning (MML2019) collocated with the ECML 2019 has been accepted and the workshop will take place on September 16 in Würzburg (Germany)
  • 2019-04-15: New paper accepted: J. Calvo-Zaragoza, A.-J. Gallego, J.R. Rico-Juan "Ensemble classification from deep predictions with test data augmentation". In: Soft Computing
  • 2019-04-15: New paper accepted: J. Calvo-Zaragoza, A. H. Toselli, E. Vidal "Hybrid hidden Markov models and artificial neural networks for handwritten music recognition in mensural notation". In: Pattern Analysis and Applications
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