Francisco C. Pereira

1. Prediction of rare feature combinations in population synthesis:\n Application of deep generative modelling
   2019/09/17 by Sergio Garrido, Garrido, Sergio, Stanislav S. Borysov +5 · 5 citations
   Engineering · Social Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Transportation Planning and Optimization #Transportation and Mobility Innovations #Urban Transport and Accessibility
2. VICE: Variational Interpretable Concept Embeddings
   2022/05/02 by Lukas Muttenthaler, Muttenthaler, Lukas, Charles Zheng +9 · 7 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Bayesian Modeling and Causal Inference
3. Beyond expectation: Deep joint mean and quantile regression for\n spatio-temporal problems
   2018/08/27 by Filipe Rodrigues, Francisco C. Pereira, Rodrigues, Filipe +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
4. Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
   2021/06/21 by Frederik Boe Hüttel, Hüttel, Frederik Boe, Inon Peled +5 · 5 citations
   Engineering · Energy · Environmental Science · #Electric Vehicles and Infrastructure #Energy, Environment, and Transportation Policies #Energy and Environment Impacts
5. Graph Neural Network Reinforcement Learning for Autonomous\n Mobility-on-Demand Systems
   2021/04/23 by Daniele Gammelli, Gammelli, Daniele, Kaidi Yang +9 · 4 citations
   Engineering · Social Sciences · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #Traffic control and management #Transportation Planning and Optimization #Transportation and Mobility Innovations #electronic engineering #information engineering
6. Combining Discrete Choice Models and Neural Networks through Embeddings:\n Formulation, Interpretability and Performance
   2021/09/24 by Ioanna Arkoudi, Arkoudi, Ioanna, Carlos Lima Azevedo +3 · 3 citations
   Economics, Econometrics and Finance · Social Sciences · #Econometrics (econ.EM) #Economic and Environmental Valuation #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Transportation Planning and Optimization #Urban Transport and Accessibility
7. 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
8. Estimating Causal Effects with the Neural Autoregressive Density\n Estimator
   2020/08/17 by Sergio Garrido, Stanislav S. Borysov, Garrido, Sergio +5 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural Networks and Applications
9. 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
10. Rethinking travel behavior modeling representations through embeddings
    2019/08/31 by Francisco C. Pereira, Pereira, Francisco C. · 1 citation
    Engineering · Social Sciences · #Computation and Language (cs.CL) #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques #Transportation Planning and Optimization
11. Modeling Censored Mobility Demand through Quantile Regression Neural Networks
    2021/04/02 by Frederik Boe Hüttel, Inon Peled, Hüttel, Frederik Boe +5 · 1 citation
    Social Sciences · Engineering · #Human Mobility and Location-Based Analysis #Traffic Prediction and Management Techniques #Transportation Planning and Optimization
12. Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning
    2022/02/24 by Valentino Servizi, Servizi, Valentino, Dan Roland Persson +11 · 1 citation
    Social Sciences · Engineering · #Human Mobility and Location-Based Analysis #Transportation Planning and Optimization #Urban and Freight Transport Logistics
13. Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand
    2022/02/15 by Daniele Gammelli, Gammelli, Daniele, Kaidi Yang +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