| 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 | 16 | 2022 |
| 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 | 7 | 2020 |
| Active Learning Metamodels for ATM Simulation Modeling C Riis, F Antunes, G Gurtner, FC Pereira, L Delgado, C Azevedo 11th SESAR Innovation Days, 2021 | 6 | 2021 |
| 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 | 4 | 2022 |
| 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 | 3 | 2023 |
| Determining causality in travel mode choice RS Chauhan, C Riis, S Adhikari, S Derrible, E Zheleva, CF Choudhury, ... arXiv preprint arXiv:2208.05624, 2022 | 2 | 2022 |
| Explainable Metamodels for ATM Performance Assessment C Riis, F Antunes, T Bolic, G Gurtner, FC Pereira, CML Azevedo 12th SESAR Innovation Days, 2022 | 2 | 2022 |
| Active Learning Metamodelling for R-NEST R Sánchez-Cauce, C Riis, F Antunes, D Mocholí, OGC Ros, FC Pereira, ... 12th SESAR Innovation Days, 2022 | 2 | 2022 |
| 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 | 1 | 2022 |
| Active Learning for Air Traffic Management Simulation Metamodeling CML Azevedo, C Riis, F Antunes, FC Pereira Transportation Research Board 101th Annual Meeting, 2022 | 1 | 2022 |
| 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 | | 2024 |
| 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 | | 2024 |
| Bayesian Active Learning for Censored Regression FB Hüttel, C Riis, F Rodrigues, FC Pereira arXiv preprint arXiv:2402.11973, 2024 | | 2024 |
| Bayesian Active Learning for Censored Regression F Boe Hüttel, C Riis, F Rodrigues, F Câmara Pereira arXiv e-prints, arXiv: 2402.11973, 2024 | | 2024 |
| Mixture of Gaussian Processes for Bayesian Active Learning C Riis, F Rodrigues, FC Pereira Authorea Preprints, 2023 | | 2023 |
| Applied metamodelling for ATM performance simulations C Riis, FN Antunes, T Bolić, G Gurtner, A Cook, CL Azevedo, FC Pereira arXiv preprint arXiv:2308.03404, 2023 | | 2023 |
| Learning and Generalizing Polynomials in Simulation Metamodeling J Hauch, C Riis, FC Pereira arXiv preprint arXiv:2307.10892, 2023 | | 2023 |
| 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 | | 2023 |
| Determining Causality in Travel Mode Choice R Singh Chauhan, C Riis, S Adhikari, S Derrible, E Zheleva, ... arXiv e-prints, arXiv: 2208.05624, 2022 | | 2022 |
| NOSTROMO-D5. 1-ATM Performance Metamodels-Preliminary Release G Gurtner, F Antunes, Z Tibichte, C Riis | | 2022 |
Francisco C PereiraTechnical University of DenmarkVerificeret mail på dtu.dk
