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Rita P. Ribeiro
Rita P. Ribeiro
Faculty of Sciences, University of Porto and INESC TEC
Verified email at fc.up.pt
Title
Cited by
Cited by
Year
A survey of predictive modeling on imbalanced domains
P Branco, L Torgo, RP Ribeiro
ACM computing surveys (CSUR) 49 (2), 1-50, 2016
13552016
Smote for regression
L Torgo, RP Ribeiro, B Pfahringer, P Branco
Portuguese conference on artificial intelligence, 378-389, 2013
3292013
SMOGN: a pre-processing approach for imbalanced regression
P Branco, L Torgo, RP Ribeiro
First international workshop on learning with imbalanced domains: Theory and …, 2017
3152017
Resampling strategies for regression
L Torgo, P Branco, RP Ribeiro, B Pfahringer
Expert systems 32 (3), 465-476, 2015
1692015
UBL: an R package for utility-based learning
P Branco, RP Ribeiro, L Torgo
arXiv preprint arXiv:1604.08079, 2016
1072016
Precision and recall for regression
L Torgo, R Ribeiro
Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009
1002009
Utility-based regression
L Torgo, R Ribeiro
Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007
912007
Imbalanced regression and extreme value prediction
RP Ribeiro, N Moniz
Machine Learning 109, 1803-1835, 2020
842020
A survey on data-driven predictive maintenance for the railway industry
N Davari, B Veloso, GA Costa, PM Pereira, RP Ribeiro, J Gama
Sensors 21 (17), 5739, 2021
752021
Relevance-based evaluation metrics for multi-class imbalanced domains
P Branco, L Torgo, RP Ribeiro
Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017
732017
Utility-based regression
RP Ribeiro
Ph. D. dissertation, 2011
732011
Sequential anomalies: a study in the railway industry
RP Ribeiro, P Pereira, J Gama
Machine Learning 105, 127-153, 2016
502016
Rebagg: Resampled bagging for imbalanced regression
P Branco, L Torgo, RP Ribeiro
Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018
492018
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry
N Davari, B Veloso, RP Ribeiro, PM Pereira, J Gama
2021 IEEE 8th International Conference on Data Science and Advanced …, 2021
342021
Smoteboost for regression: Improving the prediction of extreme values
N Moniz, R Ribeiro, V Cerqueira, N Chawla
2018 IEEE 5th international conference on data science and advanced …, 2018
312018
A comparative study on predicting algae blooms in Douro River, Portugal
R Ribeiro, L Torgo
Ecological modelling 212 (1-2), 86-91, 2008
312008
Big data in marine science
L Guidi, AF Guerra, C Canchaya, E Curry, F Foglini, JO Irisson, K Malde, ...
European Marine Board, 2020
302020
Predicting outliers
L Torgo, R Ribeiro
European Conference on Principles of Data Mining and Knowledge Discovery …, 2003
242003
Turning the tables: Biased, imbalanced, dynamic tabular datasets for ml evaluation
S Jesus, J Pombal, D Alves, A Cruz, P Saleiro, R Ribeiro, J Gama, ...
Advances in Neural Information Processing Systems 35, 33563-33575, 2022
222022
Failure prediction–an application in the railway industry
P Pereira, RP Ribeiro, J Gama
Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014
172014
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