Miguel Costa
Orcid: 0000-0003-0860-7002Affiliations:
- Technical University of Denmark, Department of Technology, Management and Economics, Lyngby, Denmark
- University of Lisboa, Instituto Superior Técnico, Institute for Systems and Robotics, Lisbon, Portugal
According to our database1,
Miguel Costa authored at least 14 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2026
Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport.
CoRR, March, 2026
Learning long term climate-resilient transport adaptation pathways under direct and indirect flood impacts using reinforcement learning.
CoRR, January, 2026
2025
Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways.
CoRR, November, 2025
Incorporating Quality of Life in Climate Adaptation Planning via Reinforcement Learning.
CoRR, November, 2025
Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives.
CoRR, October, 2025
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making.
CoRR, April, 2025
Which Cycling Environment Appears Safer? Learning Cycling Safety Perceptions From Pairwise Image Comparisons.
IEEE Trans. Intell. Transp. Syst., February, 2025
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen.
CoRR, 2024
2023
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2021
A Circuity Temporal Analysis of Urban Street Networks Using Open Data: A Lisbon Case Study.
ISPRS Int. J. Geo Inf., 2021
2019
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019
2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017