| The geography of taste: analyzing cell-phone mobility and social events F Calabrese, FC Pereira, G Di Lorenzo, L Liu, C Ratti Pervasive Computing: 8th International Conference, Pervasive 2010, Helsinki …, 2010 | 415 | 2010 |
| 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 | 335 | 2015 |
| Future mobility survey: Experience in developing a smartphone-based travel survey in Singapore CD Cottrill, FC Pereira, F Zhao, IF Dias, HB Lim, ME Ben-Akiva, ... Transportation Research Record 2354 (1), 59-67, 2013 | 323 | 2013 |
| 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 | 300 | 2019 |
| Deep learning from crowds F Rodrigues, F Pereira Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 294 | 2018 |
| Simmobility: A multi-scale integrated agent-based simulation platform M Adnan, FC Pereira, CML Azevedo, K Basak, M Lovric, S Raveau, Y Zhu, ... 95th Annual Meeting of the Transportation Research Board Forthcoming in …, 2016 | 253 | 2016 |
| Creativity and artificial intelligence: a conceptual blending approach F Câmara Pereira Mouton de Gruyter, 2007 | 217 | 2007 |
| 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 | 202 | 2019 |
| Using pattern recognition to identify habitual behavior in residential electricity consumption JM Abreu, FC Pereira, P Ferrão Energy and buildings 49, 479-487, 2012 | 178 | 2012 |
| Comparison of four types of artificial neural network and a multinomial logit model for travel mode choice modeling D Lee, S Derrible, FC Pereira Transportation Research Record 2672 (49), 101-112, 2018 | 173 | 2018 |
| Gaussian process classification and active learning with multiple annotators F Rodrigues, F Pereira, B Ribeiro International conference on machine learning, 433-441, 2014 | 161 | 2014 |
| Exploratory analysis of a smartphone-based travel survey in Singapore F Zhao, FC Pereira, R Ball, Y Kim, Y Han, C Zegras, M Ben-Akiva Transportation Research Record 2494 (1), 45-56, 2015 | 153 | 2015 |
| Text analysis in incident duration prediction FC Pereira, F Rodrigues, M Ben-Akiva Transportation Research Part C: Emerging Technologies 37, 177-192, 2013 | 152 | 2013 |
| Learning from multiple annotators: distinguishing good from random labelers F Rodrigues, F Pereira, B Ribeiro Pattern Recognition Letters 34 (12), 1428-1436, 2013 | 141 | 2013 |
| Overview of traffic incident duration analysis and prediction R Li, FC Pereira, ME Ben-Akiva European transport research review 10 (2), 1-13, 2018 | 139 | 2018 |
| 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 | 135 | 2015 |
| Choice modelling in the age of machine learning-Discussion paper S van Cranenburgh, S Wang, A Vij, F Pereira, J Walker Journal of Choice Modelling 42, 100340, 2022 | 131* | 2022 |
| Beyond expectation: Deep joint mean and quantile regression for spatiotemporal problems F Rodrigues, FC Pereira IEEE transactions on neural networks and learning systems 31 (12), 5377-5389, 2020 | 128 | 2020 |
| Probabilistic modeling and visualization for bankruptcy prediction F Antunes, B Ribeiro, F Pereira Applied Soft Computing 60, 831-843, 2017 | 123 | 2017 |
| 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 | 114 | 2017 |
Filipe RodriguesTechnical University of Denmark (DTU)dtu.dk의 이메일 확인됨
