Filipe Rodrigues

1. Beyond expectation: Deep joint mean and quantile regression for\n spatio-temporal problems
   2018/08/27 by Filipe Rodrigues, Rodrigues, Filipe, Francisco C. Pereira +1 · 4 citations
   Computer Science · Social Sciences · #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Transportation Planning and Optimization #Urban Transport and Accessibility
2. Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
   2021/06/21 by Frederik Boe Hüttel, Inon Peled, Hüttel, Frederik Boe +5 · 5 citations
   Engineering · Energy · Environmental Science · #Electric Vehicles and Infrastructure #Energy, Environment, and Transportation Policies #Energy and Environment Impacts
3. Bayesian Automatic Relevance Determination for Utility Function\n Specification in Discrete Choice Models
   2019/06/10 by Filipe Rodrigues, Rodrigues, Filipe, Nicola Ortelli +5 · 2 citations
   Computer Science · Economics, Econometrics and Finance · Mathematics · #Bayesian Methods and Mixture Models #Economic and Environmental Valuation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
4. Estimating Latent Demand of Shared Mobility through Censored Gaussian\n Processes
   2020/01/21 by Daniele Gammelli, Gammelli, Daniele, Inon Peled +9 · 2 citations
   Engineering · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Traffic Prediction and Management Techniques #Transportation and Mobility Innovations
5. Modeling Censored Mobility Demand through Quantile Regression Neural Networks
   2021/04/02 by Frederik Boe Hüttel, Hüttel, Frederik Boe, Inon Peled +5 · 1 citation
   Social Sciences · Engineering · #Human Mobility and Location-Based Analysis #Traffic Prediction and Management Techniques #Transportation Planning and Optimization
6. Mind the Gap: Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand
   2023/01/16 by Frederik Boe Hüttel, Hüttel, Frederik Boe, Filipe Rodrigues +2 · 1 citation
   Energy · Engineering · #Artificial Intelligence (cs.AI) #Electric Vehicles and Infrastructure #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Transportation and Mobility Innovations
7. Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach
   2023/03/27 by Zhongcan Li, Li, Zhongcan, Ping Huang +5 · 1 citation
   Business, Management and Accounting · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Railway Engineering and Dynamics #Railway Systems and Energy Efficiency #Transport and Economic Policies
8. Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand
   2022/02/15 by Daniele Gammelli, Kaidi Yang, Gammelli, Daniele +9 · 1 citation
   Engineering · Social Sciences · #FOS: Electrical engineering #Systems and Control (eess.SY) #Traffic control and management #Transportation Planning and Optimization #Transportation and Mobility Innovations #electronic engineering #information engineering