| Predicting Taxi–Passenger Demand Using Streaming Data L Moreira-Matias, J Gama, M Ferreira, J Mendes-Moreira, L Damas Transactions on Intelligent Transportation Systems, 1393-1402, 2013 | 953 | 2013 |
| Ensemble approaches for regression: a survey J Mendes-Moreira, C Soares, AM Jorge, F de Sousa, Jorge ACM Computing Surveys 45, 10:1-10:40, 2012 | 906 | 2012 |
| A comparative study of regression and classification algorithms for modelling students' academic performance P Strecht, L Cruz, C Soares, J Mendes-Moreira, R Abreu The 8th International Conference on Educational Data Mining, 392-395, 2015 | 187* | 2015 |
| Improving Mass Transit Operations by Using AVL-Based Systems: A Survey L Moreira-Matias, J Mendes-Moreira, JF de Sousa, J Gama IEEE Transactions on Intelligent Transportation Systems 16 (4), 1636-1653, 2015 | 143 | 2015 |
| Time-Evolving OD Matrix Estimation using high-speed GPS data streams L Moreira-Matias, J Gama, M Ferreira, J Mendes-Moreira, L Damas Expert Systems with Applications 44, 275-288, 2016 | 125 | 2016 |
| A general Introduction to Data Analytics J Moreira, A Carvalho, T Horvath | 108 | 2019 |
| An online learning approach to eliminate Bus Bunching in real-time L Moreira-Matias, O Cats, J Gama, J Mendes-Moreira, JF de Sousa Applied Soft Computing 47, 460-482, 2016 | 97 | 2016 |
| An Ensemble of Autonomous Auto-Encoders for Human Activity Recognition KD Garcia, CR Sá, M Poel, T Carvalho, J Mendes-Moreira, JMP Cardoso, ... Neurocomputing 439, 271-280, 2021 | 84 | 2021 |
| Towards automatic generation of metafeatures F Pinto, C Soares, J Mendes-Moreira Pacific-Asia conference on knowledge discovery and data mining, 215-226, 2016 | 82 | 2016 |
| Comparing state-of-the-art regression methods for long term travel time prediction J Mendes-Moreira, AM Jorge, J Freire de Sousa, C Soares Intelligent Data Analysis 16 (3), 427-449, 2012 | 82 | 2012 |
| On predicting the taxi-passenger demand: A real-time approach L Moreira-Matias, J Gama, M Ferreira, J Mendes-Moreira, L Damas Portuguese Conference on Artificial Intelligence, 54-65, 2013 | 70 | 2013 |
| Validating the coverage of bus schedules: A Machine Learning approach J Mendes-Moreira, L Moreira-Matias, J Gama, JF de Sousa Information Sciences 293 (1), 299-313, 2015 | 60 | 2015 |
| Machine Learning predictive model of grapevine yield based on agroclimatic patterns MS Sirsat, J Mendes-Moreira, C Ferreira, M Cunha Engineering in Agriculture, Environment and Food 12 (4), 443-450, 2019 | 57 | 2019 |
| Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction M Bhanu, J Mendes-Moreira, J Chandra IEEE transactions on Intelligent Transportation Systems 22 (6), 3359-3371, 2021 | 54 | 2021 |
| Improving the Accuracy of Long-Term Travel Time Prediction Using Heterogeneous Ensembles J Mendes-Moreira, AM Jorge, J Freire de Sousa, C Soares Neurocomputing 150, 428-439, 2015 | 50 | 2015 |
| Online Boxplot Derived Outlier Detection A Mazarei, R Teixeira Sousa, J Mendes-Moreira, S Molchanov, ... International Journal Of Data Science and Analytics 19, 83-97, 2025 | 48 | 2025 |
| Bus bunching detection by mining sequences of headway deviations L Moreira-Matias, C Ferreira, J Gama, J Mendes-Moreira, JF de Sousa Industrial Conference on Data Mining, 77-91, 2012 | 46 | 2012 |
| DyGCN-LSTM: A Dynamic GCN-LSTM based Encoder-Decoder Framework for Multistep Traffic Prediction R Kumar, J Chandra, J Mendes-Moreira Applied Intelligence 53, 25388–25411, 2023 | 39 | 2023 |
| An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time L Moreira-Matias, J Gama, J Mendes-Moreira, J Freire de Sousa Intelligent Data Analysis 2014, 227-238, 2014 | 38 | 2014 |
| Travel time prediction for the planning of mass transit companies: a machine learning approach JM Moreira Universidade do Porto, 2008 | 34 | 2008 |
Carlos SoaresAssociate Professor, Faculdade de Engenharia da U. Porto/External Advisor at Fraunhofer AICOSVerified email at fe.up.pt
