Rita P. Ribeiro

Cited by

	All	Since 2019
Citations	3052	2581
h-index	18	17
i10-index	29	24

740

370

185

555

20122013201420152016201720182019202020212022202320248 12 27 41 53 99 169 182 289 479 633 730 267

Public access

View all

24 articles

11 articles

available

not available

Based on funding mandates

Co-authors

Luís TorgoCanada Research Chair, Professor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
Paula BrancoAssistant Professor, School Electrical Engineering and Computer Science at University of OttawaVerified email at uottawa.ca
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
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
Lionel GuidiCNRS, Sorbonne University, Laboratoire d'oceanographie de VillefrancheVerified email at obs-vlfr.fr
Nitesh V Chawla, FACM, FAAAI, FIEEEFrank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
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


Title Sort by citations Sort by year Sort by 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	1273	2016
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Portuguese conference on artificial intelligence, 378-389, 2013	305	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	287	2017
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert Systems 32 (3), 465-476, 2015	157	2015
UBL: an R package for utility-based learning P Branco, RP Ribeiro, L Torgo arXiv preprint arXiv:1604.08079, 2016	104	2016
Precision and recall for regression L Torgo, R Ribeiro Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009	91	2009
Utility-based regression L Torgo, R Ribeiro Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007	88	2007
Imbalanced regression and extreme value prediction RP Ribeiro, N Moniz Machine Learning 109, 1803-1835, 2020	74	2020
Utility-based regression RP Ribeiro Ph. D. dissertation, 2011	69	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	68	2017
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	62	2021
Sequential anomalies: a study in the railway industry RP Ribeiro, P Pereira, J Gama Machine Learning 105, 127-153, 2016	45	2016
Rebagg: Resampled bagging for imbalanced regression P Branco, L Torgo, RP Ribeiro Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018	39	2018
Big data in marine science L Guidi, AF Guerra, C Canchaya, E Curry, F Foglini, JO Irisson, K Malde, ... European Marine Board, 2020	30	2020
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	30	2018
A comparative study on predicting algae blooms in Douro River, Portugal R Ribeiro, L Torgo Ecological modelling 212 (1-2), 86-91, 2008	30	2008
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	24	2021
Predicting outliers L Torgo, R Ribeiro European Conference on Principles of Data Mining and Knowledge Discovery …, 2003	24	2003
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	17	2022
Failure prediction–an application in the railway industry P Pereira, RP Ribeiro, J Gama Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014	16	2014

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors