Rita P. Ribeiro

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Luís TorgoCanada Research Chair, Professor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Paula BrancoAssistant Professor, School Electrical Engineering and Computer Science at University of OttawaVerified email at uottawa.ca
Bruno VelosoFaculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Narjes DavariData Scientist, INESCTECVerified email at inesctec.pt
Nuno MonizAssociate Research Professor at Lucy Family Institute for Data & Society, University of Notre DameVerified email at nd.edu
Ehsan AminianResearcher, INESC TECVerified email at cisco.com
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
Lionel GuidiCNRS, Sorbonne University, Laboratoire d'oceanographie de VillefrancheVerified email at obs-vlfr.fr
Paula KellettEuropean Marine BoardVerified email at marineboard.eu
Orlando OhashiProfessor Adjunto III - UFRAVerified email at ufra.edu.br
Vânia Gomes de AlmeidaSenior Lecturer in Medical Instrumentation and ElectronicsVerified email at mdx.ac.uk
Paula BrancoAssociated Professor with habilitationVerified email at fct.unl.pt

Rita P. Ribeiro

Faculty of Sciences, University of Porto and INESC TEC

Verified email at fc.up.pt

Imbalanced Domain Learning Anomaly Detection Explainable AI AI for Social Good


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A survey of predictive modeling on imbalanced domains P Branco, L Torgo, RP Ribeiro ACM computing surveys (CSUR) 49 (2), 1-50, 2016	1403	2016
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Portuguese conference on artificial intelligence, 378-389, 2013	355	2013
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	351	2017
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert systems 32 (3), 465-476, 2015	173	2015
UBL: an R package for utility-based learning P Branco, RP Ribeiro, L Torgo arXiv preprint arXiv:1604.08079, 2016	110	2016
Precision and recall for regression L Torgo, R Ribeiro Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009	101	2009
Imbalanced regression and extreme value prediction RP Ribeiro, N Moniz Machine Learning 109, 1803-1835, 2020	93	2020
Utility-based regression L Torgo, R Ribeiro Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007	93	2007
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	89	2021
Utility-based regression RP Ribeiro Ph. D. dissertation, 2011	74	2011
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	73	2017
Sequential anomalies: a study in the railway industry RP Ribeiro, P Pereira, J Gama Machine Learning 105, 127-153, 2016	54	2016
Rebagg: Resampled bagging for imbalanced regression P Branco, L Torgo, RP Ribeiro Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018	52	2018
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	40	2021
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	32	2022
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	32	2018
Big data in marine science L Guidi, AF Guerra, C Canchaya, E Curry, F Foglini, JO Irisson, K Malde, ... European Marine Board, 2020	31	2020
A comparative study on predicting algae blooms in Douro River, Portugal R Ribeiro, L Torgo Ecological modelling 212 (1-2), 86-91, 2008	31	2008
The MetroPT dataset for predictive maintenance B Veloso, RP Ribeiro, J Gama, PM Pereira Scientific Data 9 (1), 764, 2022	24	2022
Predicting outliers L Torgo, R Ribeiro European Conference on Principles of Data Mining and Knowledge Discovery …, 2003	24	2003

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