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 | 4 | 2024 |
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 | 6 | 2023 |
Ontology-guided Knowledge Graph Construction to Support Scheduling in a Train Maintenance Depot. E Papadakis, TL McCluskey, H Louadah, G Tucker PLATO@ ICAPS, 2023 | 2 | 2023 |
Towards Rolling Stock Preventive Maintenance Scheduling-Short-term Scheduling Optimisation H Louadah, L McCluskey, G Tucker, E Papadakis CEUR Workshop Proceedings, 2023 | 2 | 2023 |
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 | 2 | 2023 |
Verification of numeric planning problems through domain dynamic consistency E Scala, TL McCluskey, M Vallati International Conference of the Italian Association for Artificial …, 2022 | 2 | 2022 |
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 | 8 | 2022 |
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 | 6 | 2022 |
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 | 2 | 2022 |
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 | 9 | 2021 |
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 | 2 | 2021 |
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 | 5 | 2021 |
A Quality Framework for Automated Planning Knowledge Models. M Vallati, TL Mccluskey ICAART (2), 635-644, 2021 | 8 | 2021 |
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 | 1 | 2020 |
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 | 5 | 2020 |