Sign in Human-Sound Interaction
Di Donato, B. (in press)
Sign in Human-Sound Interaction. In J. Drever, & A. Hugill (Eds.), Aural Diversity. Routledge
From a PhD to Assisting BioMusic Research
Di Donato, B. (in press)
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...
The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence
Strathearn, C., & Ma, M. (2021)
The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence. In Joint Proceedings of the LIFELIKE 2020 - 8th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2020 Conference on Artificial Life (ALIFE 2020)
Alan Turing developed the Turing Test as a method to determine whether artificial intelligence (AI) can deceive human interrogators into believing it is sentient by competentl...
Underreporting of errors in NLG output, and what to do about it
van Miltenburg, E., Clinciu, M., Dušek, O., Gkatzia, D., Inglis, S., Leppänen, L., …Wen, L. (2021)
Underreporting of errors in NLG output, and what to do about it. In Proceedings of the 14th International Conference on Natural Language Generation (140-153
We observe a severe under-reporting of the different kinds of errors that Natural Language Generation systems make. This is a problem, because mistakes are an important indica...
The Tree and The Room: Co-Designing DIY WiFi Networks with Emergent Local Metaphors
Smyth, M., Helgason, I., Lapidge, L., & Hausel, K. (2021)
The Tree and The Room: Co-Designing DIY WiFi Networks with Emergent Local Metaphors. In Design Culture(s) | Cumulus Conference Proceedings Roma 2021 (3823-3837
The use of metaphor for communicating conceptual models of interactive systems has a well-documented history in Interaction Design practice. Although metaphors can pri...
Using Semantic Technology to Model Persona for Adaptable Agents
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021)
Using Semantic Technology to Model Persona for Adaptable Agents. In ECMS 2021, 35th Proceedings (172-178). https://doi.org/10.7148/2021
In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitabl...
A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things
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 ...
Guest Editorial: Special Issue on "Advance in Mobile Edge Computing"
Yang, X., Tan, Z., & Xu, Y. (2021)
Guest Editorial: Special Issue on "Advance in Mobile Edge Computing". Journal of Internet Technology, 22(5),
Cloud computing has a problem for communication-intensive applications, which need to meet the delay requirements. The problem becomes more intense with the huge application o...
A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data
Lu, H., Liu, Q., Liu, X., & Zhang, Y. (2021)
A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data. Journal of Organizational and End User Computing, 33(6), https://doi.org/10.4018/joeuc.20211101.oa6
With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid m...
CAPE: Context-Aware Private Embeddings for Private Language Learning
Plant, R., Gkatzia, D., & Giuffrida, V. (2021)
CAPE: Context-Aware Private Embeddings for Private Language Learning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (7970-7978
Neural language models have contributed to state-of-the-art results in a number of downstream applications including sentiment analysis, intent classification and others. Howe...