| The geography of taste: analyzing cell-phone mobility and social events F Calabrese, FC Pereira, G Di Lorenzo, L Liu, C Ratti International conference on pervasive computing, 22-37, 2010 | 363 | 2010 |
| 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 | 261 | 2013 |
| Creativity and artificial intelligence: a conceptual blending approach FC Pereira Walter de Gruyter, 2007 | 185 | 2007 |
| 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 | 177 | 2015 |
| Using pattern recognition to identify habitual behavior in residential electricity consumption JM Abreu, FC Pereira, P Ferrão Energy and buildings 49, 479-487, 2012 | 132 | 2012 |
| 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 | 128 | 2016 |
| Text analysis in incident duration prediction FC Pereira, F Rodrigues, M Ben-Akiva Transportation Research Part C: Emerging Technologies 37, 177-192, 2013 | 104 | 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 | 99 | 2019 |
| 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 | 98 | 2015 |
| Learning from multiple annotators: distinguishing good from random labelers F Rodrigues, F Pereira, B Ribeiro Pattern Recognition Letters 34 (12), 1428-1436, 2013 | 95 | 2013 |
| Deep learning from crowds F Rodrigues, F Pereira Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 94 | 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 | 92 | 2015 |
| An off-line map-matching algorithm for incomplete map databases FC Pereira, H Costa, NM Pereira European Transport Research Review 1 (3), 107-124, 2009 | 89 | 2009 |
| Gaussian process classification and active learning with multiple annotators F Rodrigues, F Pereira, B Ribeiro International conference on machine learning, 433-441, 2014 | 85 | 2014 |
| Automatic reading and learning from text AO Alves, FC Pereira, A Cardoso Proceedings of the International Symposium on Artificial Intelligence (ISAI …, 2001 | 83* | 2001 |
| 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 | 77 | 2019 |
| Probabilistic modeling and visualization for bankruptcy prediction F Antunes, B Ribeiro, F Pereira Applied Soft Computing 60, 831-843, 2017 | 69 | 2017 |
| Simmobility mid-term simulator: A state of the art integrated agent based demand and supply model Y Lu, M Adnan, K Basak, FC Pereira, C Carrion, VH Saber, H Loganathan, ... 94th Annual Meeting of the Transportation Research Board, Washington, DC, 2015 | 66 | 2015 |
| The importance of retrieval in creative design analogies P Gomes, N Seco, FC Pereira, P Paiva, P Carreiro, JL Ferreira, C Bento Knowledge-Based Systems 19 (7), 480-488, 2006 | 63 | 2006 |
| 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 | 61 | 2018 |
Filipe RodriguesTechnical University of Denmark (DTU)Verified email at dtu.dk
