| 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 | 23 | 2022 |
| Deep spatio-temporal forecasting of electrical vehicle charging demand FB Hüttel, I Peled, F Rodrigues, FC Pereira arXiv preprint arXiv:2106.10940, 2021 | 23 | 2021 |
| Modeling censored mobility demand through censored quantile regression neural networks FB Hüttel, I Peled, F Rodrigues, FC Pereira IEEE Transactions on Intelligent Transportation Systems 23 (11), 21753-21765, 2022 | 11 | 2022 |
| A joint machine learning and optimization approach for incremental expansion of electric vehicle charging infrastructure AH Golsefidi, FB Hüttel, I Peled, S Samaranayake, FC Pereira Transportation Research Part A: Policy and Practice 178, 103863, 2023 | 6 | 2023 |
| 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 | 6 | 2023 |
| Mind the gap: Modelling difference between censored and uncensored electric vehicle charging demand FB Hüttel, F Rodrigues, FC Pereira Transportation Research Part C: Emerging Technologies 153, 104189, 2023 | 6 | 2023 |
| Analysis of social interactions and risk factors relevant to the spread of infectious diseases at hospitals and nursing homes FB Hüttel, AM Iversen, M Bo Hansen, B Kjær Ersbøll, S Ellermann-Eriksen, ... Plos one 16 (9), e0257684, 2021 | 5 | 2021 |
| 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 | 1 | 2024 |
| 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 |
| Bayesian Active Learning for Censored Regression FB Hüttel, C Riis, F Rodrigues, FC Pereira arXiv preprint arXiv:2402.11973, 2024 | | 2024 |
| Deep Bayesian Modelling for Uncertainty Estimation in Transportation Systems FB Hüttel Technical University of Denmark, 2024 | | 2024 |
| Deep Evidential Learning for Bayesian Quantile Regression FB Hüttel, F Rodrigues, FC Pereira arXiv preprint arXiv:2308.10650, 2023 | | 2023 |
| Consistent and accurate estimation of stellar parameters from HARPS-N Spectroscopy using Deep Learning FB Hüttel, LKH Clemmensen Proceedings of the Northern Lights Deep Learning Workshop 2, 2021 | | 2021 |
| Using Mobile Charging Stations as Probes to Learn Ev Charging Demand in Stochastic Environments: A Deep Reinforcement Learning Approach A Hemmati Golsefidi, FB Hüttel, S Samaranayake, FC Pereira Available at SSRN 4845218, 0 | | |
Francisco C PereiraTechnical University of Denmark在 dtu.dk 的电子邮件经过验证
