| Mining point-of-interest data from social networks for urban land use classification and disaggregation S Jiang, A Alves, F Rodrigues, J Ferreira Jr, FC Pereira Computers, Environment and Urban Systems 53, 36-46, 2015 | 315 | 2015 |
| Multi-output bus travel time prediction with convolutional LSTM neural network NC Petersen, F Rodrigues, FC Pereira Expert Systems with Applications 120, 426-435, 2019 | 267 | 2019 |
| Deep learning from crowds F Rodrigues, F Pereira The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018 | 251 | 2018 |
| Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach F Rodrigues, I Markou, FC Pereira Information Fusion 49, 120-129, 2019 | 183 | 2019 |
| Gaussian process classification and active learning with multiple annotators F Rodrigues, F Pereira, B Ribeiro International Conference on Machine Learning, 433-441, 2014 | 147 | 2014 |
| Text analysis in incident duration prediction FC Pereira, F Rodrigues, M Ben-Akiva Transportation Research Part C: Emerging Technologies 37, 177-192, 2013 | 141 | 2013 |
| Learning from multiple annotators: distinguishing good from random labelers F Rodrigues, F Pereira, B Ribeiro Pattern Recognition Letters 34 (12), 1428-1436, 2013 | 128 | 2013 |
| Using data from the web to predict public transport arrivals under special events scenarios FC Pereira, F Rodrigues, M Ben-Akiva Journal of Intelligent Transportation Systems 19 (3), 273-288, 2015 | 125 | 2015 |
| Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems F Rodrigues, FC Pereira IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018 | 113 | 2018 |
| Learning supervised topic models for classification and regression from crowds F Rodrigues, M Lourenco, B Ribeiro, FC Pereira IEEE transactions on pattern analysis and machine intelligence 39 (12), 2409 …, 2017 | 103 | 2017 |
| Sequence labeling with multiple annotators F Rodrigues, F Pereira, B Ribeiro Machine Learning 95 (2), 165-181, 2014 | 99 | 2014 |
| Multi-output Gaussian processes for crowdsourced traffic data imputation F Rodrigues, K Henrickson, FC Pereira IEEE Transactions on Intelligent Transportation Systems 20 (2), 594-603, 2018 | 74 | 2018 |
| Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data FC Pereira, F Rodrigues, E Polisciuc, M Ben-Akiva IEEE Transactions on Intelligent Transportation Systems 16 (3), 1370 - 1379, 2015 | 64 | 2015 |
| A bayesian additive model for understanding public transport usage in special events F Rodrigues, SS Borysov, B Ribeiro, FC Pereira IEEE transactions on pattern analysis and machine intelligence 39 (11), 2113 …, 2016 | 57 | 2016 |
| Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems D Gammelli, K Yang, J Harrison, F Rodrigues, F Pereira, M Pavone IEEE Conference on Decision and Control (CDC), 2021 | 55 | 2021 |
| Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes D Gammelli, I Peled, F Rodrigues, D Pacino, HA Kurtaran, FC Pereira Transportation Research Part C: Emerging Technologies, 2020 | 44 | 2020 |
| Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data F Rodrigues, FC Pereira Transportation Research Part C: Emerging Technologies 95, 636-651, 2018 | 37 | 2018 |
| Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management D Gammelli, Y Wang, D Prak, F Rodrigues, S Minner, FC Pereira Transportation Research Part C: Emerging Technologies 138, 103571, 2022 | 30 | 2022 |
| Automatic classification of points-of-interest for land-use analysis F Rodrigues, FC Pereira, A Alves, S Jiang, J Ferreira Proceedings of fourth International Conference on Advanced Geographic …, 2012 | 28 | 2012 |
| Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures F Rodrigues, CL Azevedo 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3559-3566, 2019 | 27 | 2019 |
Francisco C PereiraTechnical University of Denmark在 dtu.dk 的电子邮件经过验证
