
Supplementary data for the paper [1]. It contains the learned dictionaries, assumed to be already computed in the code (https://github.com/cohenjer/TransSSCNMF). It also contains all estimations obtained by using the different models. [1] Wu, H., Marmoret, A., & Cohen, J. E. (2022). Semi-Supervised Convolutive NMF for Automatic Piano Transcription. In Sound and Music Computing 2022.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
