Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > MINDS CDT
School of Electronics and Computer Science > MINDS CDT" and Year is 2024
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Number of items: 17.
Article
Efficient design of complex-valued neural networks with application to the classification of transient acoustic signals - Vlad S. Paul and Philip A. Nelson
Type: Article
| 2024
Book Section
Enabling trustworthiness in human-swarm systems through a digital twin - Mohammad D. Soorati, Mohammad Naiseh, William Hunt, Katie Parnell, Jediah Clark and Sarvapali D. Ramchurn
Type: Book Section
| 2024
| Academic Press
| Item not available on this server.
Conference or Workshop Item
The effect of predictive formal modelling at runtime on performance in human-swarm interaction - Ayodeji O. Abioye, William Hunt, Yue Gu, Eike Schneiders, Mohammad Naiseh, Joel E. Fischer, Sarvapali D. Ramchurn, Mohammad D. Soorati, Blair Archibald and Michele Sevegnani
Type: Conference or Workshop Item
| 2024
| Association for Computing Machinery
Evolutionary data subset selection for class-Incremental learning on memory-constrained systems - Epifanios Baikas, Danesh Tarapore and David Thomas
Type: Conference or Workshop Item
| 2024
| Item availability restricted.
Ethical alignment in citizen-centric AI - Jayati Deshmukh, Vahid Yazdanpanah, Sebastian Stein and Timothy Norman
Type: Conference or Workshop Item
| 2024
Source detection and tracking for underwater distributed acoustic sensing - Konstantinos Theofilos Drylerakis, Mohammad Belal, Rafael Mestre, Timothy J. Norman and Christine Evers
Type: Conference or Workshop Item
| 2024
Probabilistic methods for improved self-consistency of Doppler Velocity Log range-based bathymetry - Sam Fenton, Blair Thornton, Christine Currie, Christine Evers, Adam Prugel-Bennett, Matthew Grove and Darryl Newborough
Type: Conference or Workshop Item
| 2024
Combinatorial client-master multiagent deep reinforcement learning for task offloading in mobile edge computing: extended abstract - Tesfay Zemuy Gebrekidan, Sebastian Stein and Tim Norman
Type: Conference or Workshop Item
| 2024
| International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Deep reinforcement learning with coalition action selection for online combinatorial resource allocation with arbitrary action space - Tesfay Zemuy Gebrekidan, Sebastian Stein and Timothy J. Norman
Type: Conference or Workshop Item
| 2024
Conversational language models for human-in-the-loop multi-robot coordination - William Hunt, Toby Matthew Alfie Godfrey and Mohammad Soorati
Type: Conference or Workshop Item
| 2024
| International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Using contextual reinforcement learning to design FANET defence protocols to combat grey hole attacks - Charles Hutchins
Type: Conference or Workshop Item
| 2024
| IEEE
| Item availability restricted.
Speaking your language: spatial relationships in interpretable emergent communication - Olaf Lipinski, Adam Sobey, Federico Cerutti and Tim Norman
Type: Conference or Workshop Item
| 2024
| Item not available on this server.
Extraction and summarization of suicidal ideation evidence in social media content using large language models - Gyanendro Loitongbam, Junyu Mao, Rudra Mutalik and Stuart E. Middleton
Type: Conference or Workshop Item
| 2024
| Item not available on this server.
Advancements in non-invasive neuroimaging: exploring the potential of radar technology for brain imaging and tumour detection - Keniel Romario Peart, Shelly Vishwakarma and Indu Bodala
Type: Conference or Workshop Item
| 2024
| Item not available on this server.
Strengthened Circle and Popov Criteria and the analysis of ReLU neural networks - Carl R. Richardson, Matthew C. Turner and Steve R. Gunn
Type: Conference or Workshop Item
| 2024
| IEEE
| Item availability restricted.
Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks - Carl R. Richardson, Matthew C. Turner and Steve R. Gunn
Type: Conference or Workshop Item
| 2024
| PMLR
Explaining an agent’s future beliefs through temporally decomposing future reward estimators - Mark Towers, Yali Du, Chris Freeman and Tim Norman
Type: Conference or Workshop Item
| 2024
| IOS Press