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Rita P. Ribeiro
Rita P. Ribeiro
Faculty of Sciences, University of Porto and INESC TEC
Dirección de correo verificada de fc.up.pt
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Citado por
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Año
A survey of predictive modeling on imbalanced domains
P Branco, L Torgo, RP Ribeiro
ACM computing surveys (CSUR) 49 (2), 1-50, 2016
12552016
Smote for regression
L Torgo, RP Ribeiro, B Pfahringer, P Branco
Portuguese conference on artificial intelligence, 378-389, 2013
3012013
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
2792017
Resampling strategies for regression
L Torgo, P Branco, RP Ribeiro, B Pfahringer
Expert Systems 32 (3), 465-476, 2015
1542015
UBL: an R package for utility-based learning
P Branco, RP Ribeiro, L Torgo
arXiv preprint arXiv:1604.08079, 2016
1032016
Precision and recall for regression
L Torgo, R Ribeiro
Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009
872009
Utility-based regression
L Torgo, R Ribeiro
Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007
862007
Imbalanced regression and extreme value prediction
RP Ribeiro, N Moniz
Machine Learning 109, 1803-1835, 2020
722020
Utility-based regression
RP Ribeiro
Ph. D. dissertation, 2011
692011
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
672017
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
612021
Sequential anomalies: a study in the railway industry
RP Ribeiro, P Pereira, J Gama
Machine Learning 105, 127-153, 2016
452016
Rebagg: Resampled bagging for imbalanced regression
P Branco, L Torgo, RP Ribeiro
Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018
392018
Big data in marine science
L Guidi, AF Guerra, C Canchaya, E Curry, F Foglini, JO Irisson, K Malde, ...
European Marine Board, 2020
302020
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
302018
A comparative study on predicting algae blooms in Douro River, Portugal
R Ribeiro, L Torgo
Ecological modelling 212 (1-2), 86-91, 2008
302008
Predicting outliers
L Torgo, R Ribeiro
European Conference on Principles of Data Mining and Knowledge Discovery …, 2003
242003
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
232021
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
162022
Failure prediction–an application in the railway industry
P Pereira, RP Ribeiro, J Gama
Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014
162014
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Artículos 1–20