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T.L. McCluskey
T.L. McCluskey
Professor of Software Technology, University of Huddersfield
在 hud.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
年份
Deployable Yet Effective Traffic Signal Optimisation via Automated Planning
A El Kouaiti, F Percassi, A Saetti, TL McCluskey, M Vallati
Proceedings of the International Symposium on Combinatorial Search 17, 269-270, 2024
2024
Pddl+ models for deployable yet effective traffic signal optimisation
A El Kouaiti, F Percassi, A Saetti, TL McCluskey, M Vallati
Proceedings of the International Conference on Automated Planning and …, 2024
42024
Supporting the Management of Rolling Stock Maintenance with an Ontology-Based Virtual Depot
H Louadah, E Papadakis, TL McCluskey, G Tucker
Applied Sciences 14 (3), 2024
2024
An efficient heuristic for AI-based urban traffic control
F Percassi, S Bhatnagar, R Guo, K McCabe, TL Mccluskey, M Vallati
2023 8th International Conference on Models and Technologies for Intelligent …, 2023
62023
Ontology-guided Knowledge Graph Construction to Support Scheduling in a Train Maintenance Depot.
E Papadakis, TL McCluskey, H Louadah, G Tucker
PLATO@ ICAPS, 2023
22023
Towards Rolling Stock Preventive Maintenance Scheduling-Short-term Scheduling Optimisation
H Louadah, L McCluskey, G Tucker, E Papadakis
CEUR Workshop Proceedings, 2023
22023
Automated Planning for Generating and Simulating Traffic Signal Strategies.
S Bhatnagar, R Guo, K McCabe, TL McCluskey, F Percassi, M Vallati
IJCAI, 7119-7122, 2023
22023
Verification of numeric planning problems through domain dynamic consistency
E Scala, TL McCluskey, M Vallati
International Conference of the Italian Association for Artificial …, 2022
22022
Leveraging artificial intelligence for simulating traffic signal strategies
S Bhatnagar, R Guo, K McCabe, TL McCluskey, E Scala, M Vallati
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
82022
Traffic strategy system and method of implementing the same
K McCabe, L McCluskey, J Blackwood, M Vallati
US Patent App. 17/422,996, 2022
2022
On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt.
S Bhatnagar, S Mund, E Scala, K McCabe, TL McCluskey, M Vallati
ICAART (2), 387-397, 2022
62022
On the challenges of on-the-fly knowledge acquisition for automated planning applications
S Bhatnagar, S Mund, E Scala, K McCabe, L McCluskey, M Vallati
14th International Conference on Agents and Artificial Intelligence, 2022
22022
Plan2Know: Constructing Plans for Guiding Data Collection
A Lindsay, L McCluskey, RPA Petrick
36th Workshop of the UK Planning and Scheduling Special Interest Group 2021, 2021
2021
Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations
H Louadah, E Papadakis, TL Mccluskey, G Tucker, P Hughes, A Bevan
36th Workshop of the UK Planning and Scheduling Special Interest Group, 2021
92021
Knowledge engineering for planning and scheduling in the context of ontological engineering: An application in railway rolling stock maintenance
TL McCluskey, H Louadah, E Papadakis, G Tucker, A Bevan, P Hughes
Knowledge Engineering for Planning and Scheduling Workshop, 2021
22021
On the importance of domain model configuration for automated planning engines
M Vallati, L Chrpa, TL McCluskey, F Hutter
Journal of Automated Reasoning 65 (6), 727-773, 2021
52021
A Quality Framework for Automated Planning Knowledge Models.
M Vallati, TL Mccluskey
ICAART (2), 635-644, 2021
82021
An Analysis on Scrum Methodology in Global Software Development–GSD
A Ahmad, R Hill, J Lu, L Mccluskey, S Wade
2020 International Conference on Computational Science and Computational …, 2020
12020
Reasoning by Anomaly Detection to Improve Planning Robustness for Autonomous Robots in Changing Environments
H Jazzaa, T McCluskey, D Peebles
35th Workshop of the UK Planning and Scheduling Special Interest Group, 3, 2020
2020
In defence of design patterns for AI planning knowledge models
M Vallati, TL McCluskey
International Conference of the Italian Association for Artificial …, 2020
52020
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