Publications per year
Publications per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Christoffer Riis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Active Learning for Air Traffic Management Simulation Metamodeling
Lima Azevedo, C. M., Riis, C., Antunes, F. & Pereira, F. C., 2022. 1 p.Research output: Contribution to conference › Poster › Research
Open AccessFile15 Downloads (Pure) -
Active Learning Metamodelling for R-NEST
Sánchez-Cauce, R., Riis, C., Antunes, F., Mocholí, D., Ros, O. G. C., Pereira, F. C., Herranz, R. & Lima Azevedo, C. M., 2022. 9 p.Research output: Contribution to conference › Paper › Research › peer-review
Open AccessFile32 Downloads (Pure) -
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Riis, C., Antunes, F., Hüttel, F. B., Lima Azevedo, C. M. & Pereira, F. C., 2022.Research output: Contribution to conference › Poster › Research › peer-review
Open AccessFile19 Downloads (Pure) -
Explainable Metamodels for ATM Performance Assessment
Riis, C., Antunes, F., Bolic, T., Gurtner, G., Pereira, F. C. & Lima Azevedo, C. M., 2022. 9 p.Research output: Contribution to conference › Paper › Research › peer-review
Open AccessFile36 Downloads (Pure) -
Robustness of automated motorcycle helmet use detection in real-world application
Riis, C., Huttel, F. B., Lin, H. & Siebert, F. W., 2022, In: Injury Prevention. 28, p. A72-A72 466.Research output: Contribution to journal › Journal article › Research › peer-review
Projects
- 1 Active
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Causal machine learning modelling for simulator flexibility and scalability
Riis, C., Pereira, F. C. & Lima Azevedo, C. M.
01/09/2020 → 30/09/2023
Project: PhD
Activities
- 7 Conference presentations
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Using computer vision to register patterns of bicycle helmet use
Christoffer Riis (Invited speaker), Frederik Boe Hüttel (Other), Kira Hyldekær Janstrup (Other), Hanhe Lin (Other) & Felix Wilhelm Siebert (Other)
9 Jan 2023Activity: Talks and presentations › Conference presentations
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Automated detection of e-scooter helmet use with deep learning
Felix Wilhelm Siebert (Guest lecturer), Christoffer Riis (Other), Kira Hyldekær Janstrup (Other), Jakob Kristensen (Other), Oguzhan Gül (Other), Hanhe Lin (Other) & Frederik Boe Hüttel (Other)
9 Nov 2022Activity: Talks and presentations › Conference presentations
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Feasibility of detecting cyclists’ phone use with computer vision
Felix Wilhelm Siebert (Other), Christoffer Riis (Speaker), Kira Hyldekær Janstrup (Other), Hanhe Lin (Other), Francisco Camara Pereira (Other) & Frederik Boe Hüttel (Other)
22 Aug 2022 → 23 Aug 2022Activity: Talks and presentations › Conference presentations
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Using computer vision on crowdsourced streetview data to register safety performance indicators for motorcyclists.
Frederik Boe Hüttel (Speaker), Christoffer Riis (Other) & Felix Wilhelm Siebert (Other)
27 Sept 2022 → 28 Sept 2022Activity: Talks and presentations › Conference presentations
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Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis (Speaker), Francisco Antunes (Other), Frederik Boe Hüttel (Speaker), Carlos M. Lima Azevedo (Other) & Francisco Camara Pereira (Other)
28 Nov 2022 → 3 Dec 2022Activity: Talks and presentations › Conference presentations
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