Follow
Filipe Rodrigues
Title
Cited by
Cited by
Year
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
3032015
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
2532019
Deep learning from crowds
F Rodrigues, F Pereira
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018
2302018
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
1702019
Gaussian process classification and active learning with multiple annotators
F Rodrigues, F Pereira, B Ribeiro
International Conference on Machine Learning, 433-441, 2014
1402014
Text analysis in incident duration prediction
FC Pereira, F Rodrigues, M Ben-Akiva
Transportation Research Part C: Emerging Technologies 37, 177-192, 2013
1362013
Learning from multiple annotators: distinguishing good from random labelers
F Rodrigues, F Pereira, B Ribeiro
Pattern Recognition Letters 34 (12), 1428-1436, 2013
1252013
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
1212015
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
1082018
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
1022017
Sequence labeling with multiple annotators
F Rodrigues, F Pereira, B Ribeiro
Machine Learning 95 (2), 165-181, 2014
952014
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
722018
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
632015
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
552016
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
522021
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
422020
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
352018
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
282012
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
242022
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
242019
The system can't perform the operation now. Try again later.
Articles 1–20