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
New paper accepted: Francisco J. Castellanos, Jorge Calvo-Zaragoza, Jose M. Iñesta: “A Neural Approach for Full-Page Optical Music Recognition of Mensural Documents”. In: 21st International Society for Music Information Retrieval Conference (ISMIR 2020)
New paper accepted: Antonio Ríos, Jorge Calvo-Zaragoza, Jose M. Iñesta: “Exploring the two-dimensional nature of music notation for score recognition with end-to-end approaches”. In: 17th International Conference on Frontiers of Handwriting Recognition (ICFHR 2020)
New paper accepted: A.-J. Gallego, J. Calvo-Zaragoza and J.R. Rico-Juan: “Insights into efficient k-Nearest Neighbor classification with Convolutional Neural Codes” In: IEEE Access.
New paper accepted: Jose J. Valero-Mas, Francisco J. Castellanos: “Data Reduction in the string space for efficient kNN classification through space partitioning” In: Applied Sciences (Special Issue Data Preprocessing in Pattern Recognition: Recent Progress, Trends and Applications)
New paper accepted: Juan Ramón Rico-Juan, Cristina Cachero, Hermenegilda Macià. Influencia de la evaluación entre pares consensuada en la precisión de las autoevaluaciones. JENUI 2020.
New paper accepted: Juan Ramón Rico-Juan, A. Javier Gallego, Jorge Calvo-Zaragoza .Detección automática de incoherencias entre las puntuaciones numéricas y la retroalimentación textual en los procesos de evaluación por pares con aprendizaje automático. JENUI 2020.
New paper accepted: J. Calvo-Zaragoza, J. Hajic Jr., A. Pacha: “Understanding Optical Music Recognition” In: ACM Computing Surveys
New paper published: L. Micó, J. Oncina & J.M. Iñesta: “Adaptively Learning to Recognize Symbols in Handwritten Early Music”. In: Machine Learning and Knowledge Discovery in Databases.