Cornelissen, A., Jeffery, S., Ozols, M., Piedrafita, A. (2020) Span programs and quantum time complexity.

In Esparza, J. Král', D. (Eds.), 45th International Symposium on Mathematical Foundations of Computer Science: MFCS 2020, August 25–26, 2020, Prague, Czech Republic (Leibniz International Proceedings in Informatics, Vol. 170). Schloss Dagstuhl - Leibniz-Zentrum für Informatik.

Cornelissen, A., Mande, N.S., Ozols, M., de Wolf, R. (2021) Exact quantum query complexity of computing Hamming weight modulo powers of two and three.

ArXiv.

Preprint | https://doi.org/10.48550/arXiv.2112.14682 | UvA-DARE

Cornelissen, A. (2019) Quantum gradient estimation of Gevrey functions.

Quantum - the open journal for quantum science

Article | https://arxiv.org/abs/1909.13528 | UvA-DARE

Cornelissen, A. (2023) Quantum multivariate estimation and span program algorithms.

ILLC Dissertation series

Thesis, fully internal | UvA-DARE

Cornelissen, B., Braithwaite, Tim, Burgoyne, J.A., Haug, Andreas (2024) The Helping Hand: A computational perspective on Guidonian solmisation.

Abstract | UvA-DARE

Cornelissen, B., Braithwaite, Tim (2024) Delasol: Automatic hexachordal solmization.

Poster | UvA-DARE

Cornelissen, B., Zuidema, W., Burgoyne, J.A. (2020) Mode Classification and Natural Units in Plainchant.

In Cuming, J. Lee, J.H. McFee, B. Schedl, M. Devaney, J. McKay, C. Zangerle, E. de Reuse, T. (Eds.), Proceedings of the 21st International Society for Music Information Retrieval Conference: ISMIR MTL2020, Montréal, Québec, Canada, Virtual Conference, 11 to 16 October 2020 (pp 869-875). ISMIR.

Cornelissen, B., Zuidema, W., Burgoyne, J.A. (2020) Studying large plainchant corpora using chant21.

In Proceedings of DLfM 2020: the 7th International Conference on Digital Libraries for Musicology : 16th October 2020, McGill University, Montréal, QC, Canada (pp 40-44) (ACM international conference proceedings series). The Association for Computing Machinery.

Cornelissen, B., Zuidema, W., Burgoyne, J.A. (2021) Catafolk: Cataloguing folk music datasets for comparative musicology.

Paper | UvA-DARE

Cornelissen, B., Zuidema, W., Burgoyne, J.A. (2021) Cosine Contours: a Multipurpose Representation for Melodies.

In Lee, J.H. Lerch, A. Duan, Z. Nam, J. Rao, P. Van Kranenburg, P. Srinivasamurthy, A. (Eds.), Proceedings: The 22nd International Society for Music Information Retrieval Conference: ISMIR 2021 : November 7-12, 2021 (online) (pp 135-142). ISMIR.

Cornelissen, B. (2024) Measuring musics: Notes on modes, motifs, and melodies.

ILLC Dissertation series

Thesis, fully internal | UvA-DARE

Cornelissen, B. (2025) Alessandro Melani – Quae est ista.

IMSLP: Petrucci Music Library.

Composition | UvA-DARE

Cornelissen, B. (2025) Beyond the nPVI: Measuring Isochronicity with Rhythmic Motifs.

Poster | UvA-DARE

Cornelissen, B. (2025) Rhythmic Segments: Rhythmic Segment Analysis in Python.

Software | UvA-DARE

Cornelissen, B. (2026) Algo Pärt: An Algorithmic Reconstruction of Arvo Pärt's Summa.

ArXiv.

Preprint | https://doi.org/10.48550/arXiv.2603.26989 | UvA-DARE

Cornelissen, B. (2026) Rhythmic segment analysis: Conceptualizing, visualizing, and measuring rhythmic data.

ArXiv.

Preprint | https://doi.org/10.48550/arXiv.2603.26988 | UvA-DARE

Corro, C., Titov, I. (2019) Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming.

In Korhonen, A. Traum, D. Màrquez, L. (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp 5508–5521). The Association for Computational Linguistics.

Corro, C., Titov, I. (2019) Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder.

In ICLR 2019: International Conference on Learning Representations : New Orleans, Louisiana, United States, May 6-May 9, 2019 . OpenReview.

Costa Santos, C., Bernardes, J., Vitanyi, P.M.B., Antunes, L. (2006) Clustering fetal heart rate tracings by compression.

In Proc. 19th IEEE International Symposium on Computer-Based Medical Systems (pp 685-690)

Costantini, M., Groenland, C., Endriss, U. (2016) Judgment Aggregation under Issue Dependencies.

In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence and the Twenty-Eighth Innovative Applications of Artificial Intelligence Conference: 12-17 February 2016, Phoenix, Arizona, USA (pp 468-474). AAAI Press.