"Adaptively Learning to Recognize Symbols in Handwritten Early Music"L. Micó, J. Oncina & J.M. Iñesta, Machine Learning and Knowledge Discovery in Databases, 40, Cellier, Peggy, Driessens, Kurt, Springer, 470--477, 2020 bibtex more info."Data representations for audio-to-score monophonic music transcription"Román, M.A., Pertusa, A., Calvo-Zaragoza, J. , Expert Systems with Applications, 113769, 162, 2020 bibtex."Evaluating Simultaneous Recognition and Encoding for Optical Music Recognition"Ríos-Vila, A.; Calvo-Zaragoza, J.; Rizo, D., DLfM 2020: 7th International Conference on Digital Libraries for Musicology, Association for Computing Machinery, DLfM 2020: 7th International Conference on Digital Libraries for Musicology, 10-17, 2020 bibtex more info."Exploring the two-dimensional nature of music notation for score recognition with end-to-end approaches"Ríos-Vila,A.; Calvo-Zaragoza, J.; Iñesta, J.M., Proc. of 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), IEEE, 193--198, 2020 bibtex more info."Retrieving Music Semantics from Optical Music Recognition by Machine Translation"Thomae, M.E.; Ríos-Vila, A.; Calvo-Zaragoza, J.; Rizo, D.; Iñesta, J.M., Music Encoding Conference Proceedings 26-29 May, 2020 Tufts University, Boston (USA), Elsa De Luca and Julia Flanders, 19-24, 2020 pdf bibtex more info."Two-step neural cross-domain experiments forfull-page recognition of Mensural documents"Castellanos, F. J.; Calvo-Zaragoza, J.; Iñesta, J.M., Proc. of the 13th International Workshop on Machine Learning and Music, 13th International Workshop on Machine Learning and Music, 56--60, 2020 bibtex more info.