1–20 of 35 hits
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    Text analysis in incident duration prediction

    Pereira, Francisco C. | Online Contents | 2013

    How to generate micro-agents? A deep generative modeling approach to population synthesis

    Borysov, Stanislav S. / Rich, Jeppe / Pereira, Francisco C. | Elsevier | 2019

    Use of Taxi-Trip Data in Analysis of Demand Patterns for Detection and Explanation of Anomalies

    Markou, Ioulia / Rodrigues, Filipe / Pereira, Francisco C. | Transportation Research Record | 2017

    Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios

    Pereira, Francisco C. / Rodrigues, Filipe / Ben-Akiva, Moshe | Taylor & Francis Verlag | 2015

    Text analysis in incident duration prediction

    Pereira, Francisco C. / Rodrigues, Filipe / Ben-Akiva, Moshe | Elsevier | 2013

    Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information

    Markou, Ioulia / Rodrigues, Filipe / Pereira, Francisco C. | IEEE | 2020

    Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation

    Rodrigues, Filipe / Henrickson, Kristian / Pereira, Francisco C. | IEEE | 2019

    Competing risk mixture model and text analysis for sequential incident duration prediction

    Li, Ruimin / Pereira, Francisco C. / Ben-Akiva, Moshe E. | Elsevier | 2015

    Real-Time Taxi Demand Prediction using data from the web

    Markou, Ioulia / Rodrigues, Filipe / Pereira, Francisco C. | IEEE | 2018

    Competing risks mixture model for traffic incident duration prediction

    Li, Ruimin / Pereira, Francisco C. / Ben-Akiva, Moshe E. | Elsevier | 2014

    Enhancing resilience to disasters using social media

    Chaniotakis, Emmanouil / Antoniou, Constantinos / Pereira, Francisco C. | IEEE | 2017

    How fair is the allocation of bike-sharing infrastructure? Framework for a qualitative and quantitative spatial fairness assessment

    Duran-Rodas, David / Villeneuve, Dominic / Pereira, Francisco C. et al. | Elsevier | 2020

    Prediction of rare feature combinations in population synthesis: Application of deep generative modelling

    Garrido, Sergio / Borysov, Stanislav S. / Pereira, Francisco C. et al. | Elsevier | 2020

    Demand And/oR Equity (DARE) method for planning bike-sharing

    Duran-Rodas, David / Wright, Benjamin / Pereira, Francisco C. et al. | Elsevier | 2021

    Efficient Transport Simulation With Restricted Batch-Mode Active Learning

    Antunes, Francisco / Ribeiro, Bernardete / Pereira, Francisco C. et al. | IEEE | 2018

    Stop detection for smartphone-based travel surveys using geo-spatial context and artificial neural networks

    Servizi, Valentino / Petersen, Niklas C. / Pereira, Francisco C. et al. | Elsevier | 2020

    Combining discrete choice models and neural networks through embeddings: Formulation, interpretability and performance

    Arkoudi, Ioanna / Krueger, Rico / Azevedo, Carlos Lima et al. | Elsevier | 2023

    Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks

    Free access
    Huttel, Frederik Boe / Peled, Inon / Rodrigues, Filipe et al. | IEEE | 2022

    Improving Scalability of Generic Online Calibration for Real-Time Dynamic Traffic Assignment Systems

    Prakash, A. Arun / Seshadri, Ravi / Antoniou, Constantinos et al. | Transportation Research Record | 2018