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Outputs (200)

The 'Measure Map': An inter-operable standard for aligning symbolic music (2023)
Presentation / Conference Contribution
Gotham, M., Hentschel, J., Couturier, L., Dykeaylen, N., Rohrmeier, M., & Giraud, M. (2023, November). The 'Measure Map': An inter-operable standard for aligning symbolic music. Presented at DLfM 2023: 10th International Conference on Digital Libraries for Musicology, Milan, Italy

Aligning versions of the same source material has been a persistent challenge in the field of digital libraries for musicology, and a barrier to progress. The growing number of publicly accessible symbolic datasets (of scores, analyses, and more) now... Read More about The 'Measure Map': An inter-operable standard for aligning symbolic music.

Image restoration with group sparse representation and low‐rank group residual learning (2023)
Journal Article
Cai, Z., Xie, X., Deng, J., Dou, Z., Tong, B., & Ma, X. (2024). Image restoration with group sparse representation and low‐rank group residual learning. IET Image Processing, 18(3), 741-760. https://doi.org/10.1049/ipr2.12982

Image restoration, as a fundamental research topic of image processing, is to reconstruct the original image from degraded signal using the prior knowledge of image. Group sparse representation (GSR) is powerful for image restoration; it however ofte... Read More about Image restoration with group sparse representation and low‐rank group residual learning.

The “OpenScore String Quartet” Corpus (2023)
Presentation / Conference Contribution
Gotham, M., Redbond, M., Bower, B., & Jonas, P. (2023, November). The “OpenScore String Quartet” Corpus. Presented at DLfM 2023: 10th International Conference on Digital Libraries for Musicology, Milan, Italy

The “OpenScore String Quartet” Corpus is a new dataset of historic works for string quartets, encoded by a dedicated team of volunteers, and released freely for all use cases (CC0). In creating this corpus, we built on the experience amassed during t... Read More about The “OpenScore String Quartet” Corpus.

NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems (2023)
Presentation / Conference Contribution
Chakraborty, S., Safarpour, M., & Silvén, O. (2023, July). NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems. Presented at SAMOS 2023, Samos, Greece

System-on-Chip (SoC) manufacturers use Core Level Redundancy (CLR) scheme to cope with fabrication defects. By providing redundancy with extra cores and logic blocks, CLR ensures delivering performance even if a small number of the functional units a... Read More about NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems.

Uncovering associations between users' behaviour and their flow experience (2023)
Journal Article
Oliveira, W., Hamari, J., Ferreira, W., Pastushenko, O., Toda, A., Toledo Palomino, P., & Isotani, S. (2024). Uncovering associations between users' behaviour and their flow experience. Behaviour and Information Technology, 43(14), 3416-3435. https://doi.org/10.1080/0144929x.2023.2276822

Flow experience is one of the most ambitious targets of any user interface designer. However, it has remained elusive to evaluate how well user interfaces give rise to flow experience outside conducting invasive self-reporting-based questionnaires, w... Read More about Uncovering associations between users' behaviour and their flow experience.

A Simulation-based Decision Support System for Urban Traffic Management (2023)
Presentation / Conference Contribution
Calvio, A., Jindal, A., Bujari, A., Aujla, G. S., & Foschini, L. (2023, November). A Simulation-based Decision Support System for Urban Traffic Management. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

One common challenge faced by smart cities is traffic congestion, caused also unintentionally by city planners, which significantly impacts urban life and the environment. To address these issues, various strategies and approaches are explored, inclu... Read More about A Simulation-based Decision Support System for Urban Traffic Management.

Musical Micro-Timing for Live Coding (2023)
Presentation / Conference Contribution
Johnson, M., & Gotham, M. (2023, November). Musical Micro-Timing for Live Coding. Presented at ISMIR 2023: 4th conference of the International Society for Music Information Retrieval, Milan, Italy

Micro-timing is an essential part of human music-making, yet it is absent from most computer music systems. Partly to address this gap, we present a novel system for generating music with style-specific micro-timing within the Sonic Pi live coding la... Read More about Musical Micro-Timing for Live Coding.

Chromatic Chords in Theory and Practice (2023)
Presentation / Conference Contribution
Gotham, M. (2023, November). Chromatic Chords in Theory and Practice. Presented at 24th International Society for Music Information Retrieval Conference, Milan, Italy

"Chromatic harmony" is seen as a fundamental part of (extended) tonal music in the Western classical tradition (c.1700–1900). It routinely features in core curricula. Yet even in this globalised and data-driven age, 1) there are significant gaps betw... Read More about Chromatic Chords in Theory and Practice.