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Christoffer Riis
Christoffer Riis
Email confirmado em dtu.dk
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Bayesian active learning with fully Bayesian Gaussian processes
C Riis, F Antunes, F Hüttel, C Lima Azevedo, F Pereira
Advances in Neural Information Processing Systems 35, 12141-12153, 2022
272022
On the limits to multi-modal popularity prediction on instagram--a new robust, efficient and explainable baseline
C Riis, DK Kowalczyk, LK Hansen
arXiv preprint arXiv:2004.12482, 2020
112020
Computer vision-based helmet use registration for e-scooter riders–The impact of the mandatory helmet law in Copenhagen
FW Siebert, C Riis, KH Janstrup, H Lin, FB Hüttel
Journal of safety research 87, 257-265, 2023
92023
Active Learning Metamodels for ATM Simulation Modeling
C Riis, F Antunes, G Gurtner, FC Pereira, L Delgado, C Azevedo
11th SESAR Innovation Days, 2021
92021
Causality in travel mode choice modeling: A novel methodology that combines causal discovery and structural equation modeling
RS Chauhan, C Riis, S Adhikari, S Derrible, E Zheleva, CF Choudhury, ...
arXiv preprint arXiv:2208.05624, 2022
52022
Determining causality in travel mode choice
RS Chauhan, C Riis, S Adhikari, S Derrible, E Zheleva, CF Choudhury, ...
arXiv preprint arXiv:2208.05624, 2022
42022
Explainable Metamodels for ATM Performance Assessment
C Riis, F Antunes, T Bolic, G Gurtner, FC Pereira, CML Azevedo
12th SESAR Innovation Days, 2022
32022
Determining causality in travel mode choice
RS Chauhan, C Riis, S Adhikari, S Derrible, E Zheleva, CF Choudhury, ...
Travel Behaviour and Society 36, 100789, 2024
22024
Mixture of Gaussian Processes for Bayesian Active Learning
C Riis, F Rodrigues, FC Pereira
Authorea Preprints, 2023
22023
Active Learning Metamodelling for R-NEST
R Sánchez-Cauce, C Riis, F Antunes, D Mocholí, OGC Ros, FC Pereira, ...
12th SESAR Innovation Days, 2022
22022
Automated detection of bicycle helmets using deep learning
FW Siebert, C Riis, KH Janstrup, H Lin, J Kristensen, O Gül, FB Hüttel
Journal of Cycling and Micromobility Research 2, 100013, 2024
12024
Bayesian Active Learning for Censored Regression
FB Hüttel, C Riis, F Rodrigues, FC Pereira
arXiv preprint arXiv:2402.11973, 2024
12024
Bayesian Machine Learning for Simulation Metamodeling
C Riis
12024
Learning and Generalizing Polynomials in Simulation Metamodeling
J Hauch, C Riis, FC Pereira
arXiv preprint arXiv:2307.10892, 2023
12023
NOSTROMO: Lessons learned, conclusions and way forward
M Cano, A Perillo, JA López, F Tello, J Poveda, F Câmara, F Antunes, ...
arXiv preprint arXiv:2303.18060, 2023
12023
Opening the Simulation Box: Towards Explainable Metamodels for Enhanced Air Traffic Management Performance Assessment
C Riis, F Antunes, T Bolic, G Gurtner, F Camara Pereira, C Lima Azevedo
Transportation Research Board 102nd Annual Meeting, 2022
12022
Determining Causality in Travel Mode Choice
R Singh Chauhan, C Riis, S Adhikari, S Derrible, E Zheleva, ...
arXiv e-prints, arXiv: 2208.05624, 2022
12022
Automated detection of e-scooter helmet use with deep learning
FW Siebert, C Riis, KH Janstrup, J Kristensen, O Gül, H Lin, FB Hüttel
12022
Active Learning for Air Traffic Management Simulation Metamodeling
CML Azevedo, C Riis, F Antunes, FC Pereira
Transportation Research Board 101th Annual Meeting, 2022
12022
365 Urban motorcycle helmet use surveillance in Southeast Asia–a cost-efficient computer vision approach
FW Siebert, C Riis, FB Hüttel
Injury Prevention 30 (Suppl 1), A77-A77, 2024
2024
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