Sign in Human-Sound Interaction
Book Chapter
Di Donato, B. (2022)
Sign in Human-Sound Interaction. In J. L. Drever, & A. Hugill (Eds.), Aural Diversity (187-192). New York: Routledge. https://doi.org/10.4324/9781003183624-21
This chapter explores the concept of Human–Sound Interaction (HSI) in music performance in the context of Aural Diversity. HSI focuses on human factors in experiencing sound a...
Machine Learning and the Optimal Choice of Asset Pricing Model
Book Chapter
Bielinski, A., & Broby, D. (in press)
Machine Learning and the Optimal Choice of Asset Pricing Model. In Artificial Intelligence for Capital Markets. Taylor and Francis
This chapter evaluates the traditional methods for price prediction and examines, what we believe, are the most promising machine learning techniques for that task. Asset pric...
Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn
Book Chapter
Hart, E. (2022)
Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn. In A. E. Smith (Ed.), Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics (187-203). Cham: Springer. https://doi.org/10.1007/978-3-030-79092-9_9
Standard approaches to developing optimisation algorithms tend to involve selecting an algorithm and tuning it to work well on a large set of problem instances from the domain...
From a PhD to Assisting BioMusic Research
Book Chapter
Di Donato, B. (2021)
From a PhD to Assisting BioMusic Research. In C. Vear (Ed.), The Routledge International Handbook of Practice-Based Research (642-649). Routledge. https://doi.org/10.4324/9780429324154-50
This chapter describes the author’s practice and experience in transitioning from being a PhD in Music Technology candidate to a research assistant on a large-scale funded pro...
A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things
Book Chapter
Farhad, A., Woolley, S. I., & Andras, P. (2021)
A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. In J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, …O. Sorina Chirila (Eds.), Public Health and Informatics (504-505). Amsterdam: IOS Press. https://doi.org/10.3233/SHTI210216
This paper presents a scoping review of federated learning for the Internet of Medical Things (IoMT) and demonstrates the limited amount of research work in an area which has ...
Recorded performance as digital content: Perspectives from Fringe 2020
Book Chapter
Elsden, C., Yu, D., Piccio, B., Helgason, I., & Terras, M. (2021)
Recorded performance as digital content: Perspectives from Fringe 2020. In L. Bissell, & L. Weir (Eds.), Performance in a Pandemic. London: Routledge. https://doi.org/10.4324/9781003165644
Within days of performance venues being forced to close their doors in 2020, the National Theatre began broadcasting high-quality recordings of the best of London’s West End. ...
Architecting Green Mobile Cloud Apps
Book Chapter
Jaachimma Chinenyeze, S., & Liu, X. (2021)
Architecting Green Mobile Cloud Apps. In C. Calero, M. Á. Moraga, & M. Piattini (Eds.), Software Sustainability (183-214). Cham: Springer. https://doi.org/10.1007/978-3-030-69970-3_8
With the resource-constrained nature of mobile devices, and the resource-abundant offerings of the cloud, several promising optimization techniques have been proposed by the g...
Echoes of Futures Past - Speculations and Fictions from History
Book Chapter
Smyth, M., Auger, J., & Helgason, I. (2021)
Echoes of Futures Past - Speculations and Fictions from History. In I. Mitrović, J. Auger, J. Hanna, & I. Helgason (Eds.), Beyond Speculative Design: Past-Present-Future (24-67). Split, Croatia: SpeculativeEDU, Arts Academy, University of Split
A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics
Book Chapter
Stone, C., Hart, E., & Paechter, B. (2021)
A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics. In N. Pillay, & R. Qu (Eds.), Automated Design of Machine Learning and Search Algorithms (91-107). Springer. https://doi.org/10.1007/978-3-030-72069-8_6
Hyper-heuristic frameworks, although intended to be cross-domain at the highest level, usually rely on a set of domain-specific low-level heuristics which exist below the doma...
The Open Argumentation PLatform (OAPL)
Book Chapter
Wells, S. (2020)
The Open Argumentation PLatform (OAPL). In H. Prakken, S. Bistarelli, F. Santini, & C. Taticchi (Eds.), Computational Models of Argument. IOS Press. https://doi.org/10.3233/FAIA200541
Abstract not available.