| Imbalanced regression and extreme value prediction RP Ribeiro, N Moniz Machine Learning 109, 1803-1835, 2020 | 55 | 2020 |
| Resampling strategies for imbalanced time series forecasting N Moniz, P Branco, L Torgo International Journal of Data Science and Analytics, 1-21, 2017 | 53 | 2017 |
| Multi-source social feedback of online news feeds N Moniz, L Torgo arXiv preprint arXiv:1801.07055, 2018 | 39 | 2018 |
| Resampling Strategies for Imbalanced Time Series N Moniz, P Branco, L Torgo 3rd IEEE International Conference on Data Science and Advanced Analytics, 2016 | 32 | 2016 |
| Evaluation of ensemble methods in imbalanced regression tasks N Moniz, P Branco, L Torgo First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017 | 29 | 2017 |
| Vest: Automatic feature engineering for forecasting V Cerqueira, N Moniz, C Soares Machine Learning, 1-23, 2021 | 26 | 2021 |
| SMOTEBoost for Regression: Improving the Prediction of Extreme Values N Moniz, RP Ribeiro, V Cerqueira, N Chawla 5th IEEE International Conference on Data Science and Advanced Analytics, 2018 | 23 | 2018 |
| No Free Lunch in imbalanced learning N Moniz, H Monteiro Knowledge-Based Systems 227, 107222, 2021 | 20 | 2021 |
| A review on web content popularity prediction: Issues and open challenges N Moniz, L Torgo Online Social Networks and Media 12, 1-20, 2019 | 19 | 2019 |
| A framework for recommendation of highly popular news lacking social feedback N Moniz, L Torgo, M Eirinaki, P Branco New Generation Computing 35, 417-450, 2017 | 15 | 2017 |
| Automated imbalanced classification via meta-learning N Moniz, V Cerqueira Expert Systems with Applications 178, 115011, 2021 | 14 | 2021 |
| Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting M Oliveira, N Moniz, L Torgo, VS Costa 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 13 | 2019 |
| Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks M Eirinaki, N Moniz, K Potika 9th IEEE International Conference on Social Computing and Networking …, 2016 | 12 | 2016 |
| Survey on Privacy-Preserving Techniques for Microdata Publication T Carvalho, N Moniz, P Faria, L Antunes ACM Computing Surveys, 2023 | 10* | 2023 |
| The Compromise of Data Privacy in Predictive Performance T Carvalho, N Moniz | 7 | 2021 |
| Resampling approaches to improve news importance prediction N Moniz, L Torgo, F Rodrigues International Symposium on Intelligent Data Analysis, 215-226, 2014 | 7 | 2014 |
| Class-Imbalanced Learning on Graphs: A Survey Y Ma, Y Tian, N Moniz, NV Chawla arXiv preprint arXiv:2304.04300, 2023 | 6 | 2023 |
| Empirical analysis of the Portuguese governments social network N Moniz, F Louça, M Oliveira, R Soeiro Social Network Analysis and Mining 6, 1-19, 2016 | 6 | 2016 |
| Fundamental privacy rights in a pandemic state T Carvalho, P Faria, L Antunes, N Moniz Plos one 16 (6), e0252169, 2021 | 5 | 2021 |
| Model Optimization in Imbalanced Regression A Silva, RP Ribeiro, N Moniz International Conference on Discovery Science, 3-21, 2022 | 4 | 2022 |
Luís TorgoCanada Research Chair, Professor, Faculty of Computer Science, Dalhousie University在 dal.ca 的电子邮件经过验证
