The 7th International Conference on Digital Libraries for Musico…
October 16, 2020
The 7th International Conference on Digital Libraries for Musicology DLfM 2020) has taken place virtually, organized by David Rizo as general chair.
The 7th International Conference on Digital Libraries for Musicology DLfM 2020) has taken place virtually, organized by David Rizo as general chair.
New paper accepted: Juan R. Rico-Juan, Jose J. Valero-Mas, and Jose M. Iñesta: “Bounding Edit Distance for similarity-based sequence classification on Structural Pattern Recognition”. In: Applied Soft Computing.
New paper accepted: J. Ortega-Bastida, A.-J. Gallego, J.R. Rico-Juan, and P. Albarrán: “Regional Gross Domestic Product Prediction using Twitter Deep Learning Representations”. In: 17th International Conference on Applied Computing.
New paper accepted: A.-J. Gallego, J. Calvo-Zaragoza, and R.B. Fisher: “Incremental Unsupervised Domain-Adversarial Training of Neural Networks”. In: IEEE Transactions on Neural Networks and Learning Systems.
New paper presented at the 13th international workshop MML 2020: Francisco J. Castellanos, Jorge Calvo-Zaragoza, and Jose M. Iñesta. “Two-step neural cross-domain experiments forfull-page recognition of Mensural documents”
The 13th edition of the Machine Learning and Music workshop (MML2020) has taken place virtually, organized by Jose M. Iñesta, within the ECML/PKDD 2020 conference.
Antonio Rios-Vila has been awarded with the Best Video Presentation at the 17th International Conference on Frontiers of Handwriting Recognition (ICFHR 2020)
New paper accepted: Antonio Ríos-Vila, Jorge Calvo-Zaragoza and David Rizo: “Evaluating simultaneous recognition and encoding for Optical Music Recognition”. In: 7th International Conference on Digital Libraries for Musicology (DLfM 2020)
New paper accepted: Aurelia Bustos, Antonio Pertusa, Jose María Salinas, Maria de la Iglesia-Vayá, : “PadChest: A large chest x-ray image dataset with multi-label annotated reports”. In: Medical Image Analysis
New paper accepted: Miguel A. Roman, Antonio Pertusa, Jorge Calvo-Zaragoza: “Data representations for audio-to-score monophonic music transcription”. In: Expert Systems With Applications