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
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
New paper published: A. Baró, P. Riba, J. Calvo-Zaragoza, A. Fornés “From Optical Music Recognition to Handwritten Music Recognition: a Baseline” In: Pattern Recognition Letters
New paper accepted: María Alfaro, Jorge Calvo-Zaragoza, José M. Iñesta, David Rizo: “On the Impact of the Music Encoding for Optical Music Recognition”. In: Music Encoding Conference 2019, Vienna
New paper published: Rizo, D.; Pascual-León, N.; Sapp, C.S. “White Mensural Manual Encoding: from Humdrum to MEI” Cuadernos de Investigación Musical, pp. 373-393 (2018)
New paper published: David Rizo and Alan Marsden: “An MEI-based standard encoding for hierarchical music analyses”. International Journal on Digital Libraries. 2018. 1-13
María Alfaro has been awarded with one of the prizes “Future of Telecommunication” to the best “end-of-degree project” in telecommunication engineering for Spanish new graduates in Sound and Image in 2018.
New book chapter published: Javier Sober-Mira, Jorge Calvo-Zaragoza, David Rizo, José M. Iñesta. “Pen-Based Music Document Transcription with Convolutional Neural Networks”. In: Graphics Recognition. Current Trends and Evolutions, 71-80. Springer.
New book chapter published: Jorge Calvo-Zaragoza, Jan Hajic Jr., Alexander Pacha. “Discussion Group Summary: Optical Music Recognition”. In: Graphics Recognition. Current Trends and Evolutions, 152-157. Springer.
New paper accepted: Antonio-Javier Gallego, Antonio Pertusa, Pablo Gil, Robert B. Fisher. “Detection of bodies in maritime rescue operations using Unmanned Aerial Vehicles with multispectral cameras”. In: Journal of Field Robotics.