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Alistair Nottle
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Conference and Workshop Papers
- 2024
- [c5]Vedran Galetic
, Dylan Sheldon
, Alistair Nottle
:
Conceptual Knowledge Modelling for Human-AI Teaming in Data-Frugal Industrial Environments. CONCEPTS 2024: 217-232 - 2023
- [c4]Vaishak Belle, Michael Fisher, Alessandra Russo, Ekaterina Komendantskaya, Alistair Nottle:
Neuro-Symbolic AI + Agent Systems: A First Reflection on Trends, Opportunities and Challenges. AAMAS Workshops 2023: 180-200 - 2022
- [c3]Vedran Galetic, Alistair Nottle:
Inherently Interpretable Knowledge Representation for a Trustworthy Artificially Intelligent Agent Teaming with Humans in Industrial Environments. AIC 2022: 30-45 - [c2]Qiyuan Zhang, Mark Hall, Mark Johansen, Vedran Galetic, Jacques Grange, Santiago Quintana-Amate, Alistair Nottle, Dylan M. Jones, Phillip L. Morgan:
Towards an Integrated Evaluation Framework for XAI: An Experimental Study. KES 2022: 3884-3893 - 2017
- [c1]Alistair Nottle, Daniel Harborne, Dave Braines
, Moustafa Alzantot, Santiago Quintana-Amate, Richard Tomsett, Lance M. Kaplan, Mani B. Srivastava
, Supriyo Chakraborty, Alun D. Preece:
Distributed opportunistic sensing and fusion for traffic congestion detection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6
Informal and Other Publications
- 2023
- [i1]Vedran Galetic, Alistair Nottle:
Flexible and Inherently Comprehensible Knowledge Representation for Data-Efficient Learning and Trustworthy Human-Machine Teaming in Manufacturing Environments. CoRR abs/2305.11597 (2023)
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last updated on 2024-09-10 02:10 CEST by the dblp team
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