Colm Connaughton

Orcid: 0000-0003-4137-7050

According to our database1, Colm Connaughton authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations.
CoRR, 2023

Machine learning-based prediction of Q-voter model in complex networks.
CoRR, 2023

Distinguishing Risk Preferences using Repeated Gambles.
CoRR, 2023

2022
Forecasting new diseases in low-data settings using transfer learning.
CoRR, 2022

2021
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Wavelet Augmented Regression Profiling (WARP): improved long-term estimation of travel time series with recurrent congestion.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Discovering Causal Factors of Drought in Ethiopia.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2019
A machine learning approach to predicting dynamical observables from network structure.
CoRR, 2019

Empirical analysis of the variability in the flow-density relationship for smart motorways.
CoRR, 2019

2018
Large Scale Performance Assessment of the Lighthill-Whitham-Richards Model on a Smart Motorway.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Estimating Baseline Travel Times for the UK Strategic Road Network.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2016
Importance sampling variance reduction for the Fokker-Planck rarefied gas particle method.
J. Comput. Phys., 2016


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