| 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 | 133 | 2015 |
| Text analysis in incident duration prediction FC Pereira, F Rodrigues, M Ben-Akiva Transportation Research Part C: Emerging Technologies 37, 177-192, 2013 | 92 | 2013 |
| Learning from multiple annotators: distinguishing good from random labelers F Rodrigues, F Pereira, B Ribeiro Pattern Recognition Letters 34 (12), 1428-1436, 2013 | 82 | 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 | 76 | 2015 |
| Gaussian process classification and active learning with multiple annotators F Rodrigues, F Pereira, B Ribeiro International Conference on Machine Learning, 433-441, 2014 | 66 | 2014 |
| Deep learning from crowds F Rodrigues, F Pereira The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018 | 60 | 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 | 56 | 2019 |
| 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 | 55 | 2019 |
| 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 | 49 | 2015 |
| 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 | 45 | 2017 |
| Sequence labeling with multiple annotators F Rodrigues, F Pereira, B Ribeiro Machine Learning 95 (2), 165-181, 2014 | 45 | 2014 |
| 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 | 29 | 2018 |
| 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 | 26 | 2016 |
| ASAP: Automatic Semantic Alignment for Phrases AO Alves, A Ferrugento, M Lourenço, F Rodrigues Proceedings of SemEval 2014: International Workshop on Semantic Evaluation, 2014 | 19 | 2014 |
| 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 | 19 | 2012 |
| 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 | 16 | 2018 |
| Estimating disaggregated employment size from points-of-interest and census data: from mining the web to model implementation and visualization F Rodrigues, A Alves, E Polisciuc, S Jiang, J Ferreira, F Pereira International Journal on Advances in Intelligent Systems 6 (1), 41-52, 2013 | 16 | 2013 |
| Learning supervised topic models from crowds F Rodrigues, B Ribeiro, M Lourenço, F Pereira Third AAAI Conference on Human Computation and Crowdsourcing, 2015 | 11 | 2015 |
| Real-Time Taxi Demand Prediction using data from the web I Markou, F Rodrigues, FC Pereira 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 10 | 2018 |
| Use of taxi-trip data in analysis of demand patterns for detection and explanation of anomalies I Markou, F Rodrigues, FC Pereira Transportation Research Record 2643 (1), 129-138, 2017 | 10 | 2017 |
Francisco C PereiraTechnical University of DenmarkVerified email at smart.mit.edu
