2025

• T. Repolusk and E. Veas. „KuiSCIMA v2.0: Improved Baselines, Calibration, and Cross-Notation Generalization for Historical Chinese Music Notations in Jiang Kui’s Baishidaoren Gequ“. In: Document Analysis and Recognition – ICDAR 2025. Ed. by XC. Yin, D. Karatzas, and D. Lopresti. Cham, Switzerland: Springer Nature Switzerland, 2025, pp. 116–132. doi: 0.1007/978-3-032-04630-7_7

2024

• T. Repolusk and E. Veas. „Semi-Automatic Annotation of Chinese Suzipu Notation Using a Component-Based Prediction and Similarity Approach“. In: Proceedings of the 6th International Workshop on Reading Music Systems (WoRMS). Ed. by J. Calvo-Zaragoza, A. Pacha, and E. Shatri. 2024, pp. 38-42. doi: 10.48550/arXiv.2411.15741.
• T. Repolusk and E. Veas. „The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation“. In: Document Analysis and Recognition – ICDAR 2024. Ed. by E. H. Barney Smith, M. Liwicki, and L. Peng. Cham, Switzerland: Springer Nature Switzerland, 2024, pp. 38–54. doi: 10.1007/978-3-031-70552-6_3.

2023

• T. Repolusk and E. Veas. „The Suzipu Musical Annotation Tool for the Creation of Machine-Readable Datasets of Ancient Chinese Music“. In: Proceedings of the 5th International Workshop on Reading Music Systems (WoRMS). Ed. by J. Calvo-Zaragoza, A. Pacha, and E. Shatri. Milano, Italy, 2023, pp. 7–11. doi: 10.48550/arXiv.2311.04091.