de Valk, R. & Weyde, T. ORCID: 0000-0001-8028-9905 (2018). Deep neural networks with voice entry estimation heuristics for voice separation in symbolic music representations. Paper presented at the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), 23-27 Sep 2018, Paris, France.

de Valk, R. & Weyde, T. (2015). Bringing 'Musicque into the tableture': machine-learning models for polyphonic transcription of 16th-century lute tablature. Early Music, 43(4), pp. 563-576. doi: 10.1093/em/cau102

de Valk, R. (2015). Structuring lute tablature and MIDI data: Machine learning models for voice separation in symbolic music representations. (Unpublished Doctoral thesis, City, University of London)

de Valk, R., Weyde, T. & Benetos, E. (2013). A machine learning approach to voice separation in lute tablature. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curitiba, Brazil.