Filipe Rodrigues
Danmarks Tekniske Universitet
H-index: 21
Europe-Denmark
Top articles of Filipe Rodrigues
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Bayesian Active Learning for Censored Regression | arXiv preprint arXiv:2402.11973 | Frederik Boe Hüttel Christoffer Riis Filipe Rodrigues Francisco Câmara Pereira | 2024/2/19 |
Arrival Time Prediction for Autonomous Shuttle Services in the Real World: Evidence from Five Cities | arXiv preprint arXiv:2401.05322 | Carolin Schmidt Mathias Tygesen Filipe Rodrigues | 2024/1/10 |
Incident congestion propagation prediction using incident reports | Mathias Niemann Tygesen Mayank Sharan Francisco C Pereira Filipe Rodrigues Rose Yu | 2023/11/13 | |
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning | arXiv preprint arXiv:2302.14833 | Carolin Schmidt Daniele Gammelli Francisco Camara Pereira Filipe Rodrigues | 2023/2/28 |
Analyzing the Reporting Error of Public Transport Trips in the Danish National Travel Survey Using Smart Card Data | arXiv preprint arXiv:2308.01198 | Georges Sfeir Filipe Rodrigues Maya Abou Zeid Francisco Camara Pereira | 2023/8/2 |
Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections | Expert Systems with Applications | Zhongcan Li Ping Huang Chao Wen Jie Li Filipe Rodrigues | 2023/11/1 |
Forecasting Parking Search Times Using Big Data | Kleio Milia Magnus Duus Hedengran Thomas Jansson Filipe Rodrigues Carlos Lima Azevedo | 2023/2/20 | |
Mind the gap: Modelling difference between censored and uncensored electric vehicle charging demand | Transportation Research Part C: Emerging Technologies | Frederik Boe Hüttel Filipe Rodrigues Francisco Câmara Pereira | 2023/8/1 |
On the importance of stationarity, strong baselines and benchmarks in transport prediction problems | Filipe Rodrigues | 2023/9/24 | |
Graph Reinforcement Learning for Network Control via Bi-Level Optimization | Daniele Gammelli James Harrison Kaidi Yang Marco Pavone Filipe Rodrigues | 2023/7/23 | |
Representation learning of rare temporal conditions for travel time prediction | Niklas Petersen Filipe Rodrigues Francisco Pereira | 2023/9/24 | |
Predicting injury-severity for cyclist crashes using natural language processing and neural network modelling | Safety Science | Kira Hyldekær Janstrup Bojan Kostic Mette Møller Filipe Rodrigues Stanislav Borysov | 2023/8/1 |
Reconstruction of subsurface ocean state variables using Convolutional Neural Networks with combined satellite and in situ data | Frontiers in Marine Science | Philip AH Smith Kristian Aa Sørensen Bruno Buongiorno Nardelli Anshul Chauhan Asbjørn Christensen | 2023/9/20 |
Distribution and impacts of long-lasting marine heat waves on phytoplankton biomass | Frontiers in Marine Science | Anshul Chauhan Philip AH Smith Filipe Rodrigues Asbjørn Christensen Michael St. John | 2023/7/3 |
Mixture of Gaussian Processes for Bayesian Active Learning | Authorea Preprints | Christoffer Riis Filipe Rodrigues Francisco Camara Pereira | 2023/10/31 |
The Dynamic RORO Stowage Planning Problem | Alastair Ronald Main Filipe Rodrigues Dario Pacino | 2023/9/6 | |
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling | Expert Systems with Applications | Anders Parslov Niklas Christoffer Petersen Filipe Rodrigues | 2023/12/1 |
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach | arXiv preprint arXiv:2303.15489 | Zhongcan Li Ping Huang Chao Wen Filipe Rodrigues | 2023/3/27 |
Unboxing the graph: Towards interpretable graph neural networks for transport prediction through neural relational inference | Transportation research part C: emerging technologies | Mathias Niemann Tygesen Francisco Camara Pereira Filipe Rodrigues | 2023/1/1 |
Deep Evidential Learning for Bayesian Quantile Regression | arXiv preprint arXiv:2308.10650 | Frederik Boe Hüttel Filipe Rodrigues Francisco Câmara Pereira | 2023/8/21 |
Co-Authors
