Items where Subject is "Q0325.5 Machine learning"

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Number of items at this level: 6.

B

Bernardo, Francisco, Kiefer, Chris and Magnusson, Thor (2019) An AudioWorklet-based signal engine for a live coding language ecosystem. Web Audio Conference, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, 4-6 December 2019. Published in: Roma, Gerard, (ed.) Proceedings of Web Audio Conference (WAC-2019). 77-82. WAC ISSN 2663-5844

Bernardo, Francisco, Kiefer, Chris and Magnusson, Thor (2019) Designing for a pluralist and user-friendly live code language ecosystem with Sema. International Conference on Live Coding, Limerick, Ireland, 5 - 7 February 2020. Published in: International Conference on Live Coding. (Accepted)

Bernardo, Francisco, Zbyszyński, Michael, Grierson, Mick and Fiebrink, Rebecca (2020) Designing and evaluating the usability of a machine learning API for rapid prototyping music technology. Frontiers in Artificial Intelligence, 3 (a13). pp. 1-18. ISSN 2624-8212

E

Eze, Ethelbert Chinedu (2019) Wind farm power output prediction based on machine learning recurrent neural networks. Doctoral thesis (PhD), University of Sussex.

T

Taylor, Joseph Gerard (2019) Privileged Learning using Unselected Features. Doctoral thesis (PhD), University of Sussex.

Turner, James Paul (2020) Analysing and bounding numerical error in spiking neural network simulations. Doctoral thesis (PhD), University of Sussex.

This list was generated on Thu Oct 22 03:18:00 2020 BST.