Rita P. Ribeiro

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Luís TorgoCanada Research Chair, Professor, Faculty of Computer Science, Dalhousie UniversityPatvirtintas el. paštas dal.ca
Paula BrancoAssistant Professor, School Electrical Engineering and Computer Science at University of OttawaPatvirtintas el. paštas uottawa.ca
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECPatvirtintas el. paštas fep.up.pt
Bruno VelosoFaculty of Economics, University of Porto, and INESC TECPatvirtintas el. paštas fep.up.pt
Bernhard PfahringerProfessor of Computer Science, University of WaikatoPatvirtintas el. paštas waikato.ac.nz
Narjes DavariData Scientist, INESCTECPatvirtintas el. paštas inesctec.pt
Nuno MonizAssociate Research Professor at Lucy Family Institute for Data & Society, University of Notre DamePatvirtintas el. paštas nd.edu
Ehsan AminianResearcher, INESC TECPatvirtintas el. paštas cisco.com
Lionel GuidiCNRS, Sorbonne University, Laboratoire d'oceanographie de VillefranchePatvirtintas el. paštas obs-vlfr.fr
Nitesh V Chawla, FACM, FAAAI, FIEE...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DamePatvirtintas el. paštas nd.edu
Paula KellettEuropean Marine BoardPatvirtintas el. paštas marineboard.eu
Orlando OhashiProfessor Adjunto III - UFRAPatvirtintas el. paštas ufra.edu.br
Vânia Gomes de AlmeidaSenior Lecturer in Medical Instrumentation and ElectronicsPatvirtintas el. paštas mdx.ac.uk
Paula BrancoAssociated Professor with habilitationPatvirtintas el. paštas fct.unl.pt

Stebėti

Rita P. Ribeiro

Faculty of Sciences, University of Porto and INESC TEC

Patvirtintas el. paštas fc.up.pt

Imbalanced Domain Learning Anomaly Detection Explainable AI AI for Social Good


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
A survey of predictive modeling on imbalanced domains P Branco, L Torgo, RP Ribeiro ACM computing surveys (CSUR) 49 (2), 1-50, 2016	1289	2016
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Portuguese conference on artificial intelligence, 378-389, 2013	310	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	294	2017
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert Systems 32 (3), 465-476, 2015	160	2015
UBL: an R package for utility-based learning P Branco, RP Ribeiro, L Torgo arXiv preprint arXiv:1604.08079, 2016	103	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	89	2007
Imbalanced regression and extreme value prediction RP Ribeiro, N Moniz Machine Learning 109, 1803-1835, 2020	76	2020
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	70	2017
Utility-based regression RP Ribeiro Ph. D. dissertation, 2011	70	2011
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	63	2021
Sequential anomalies: a study in the railway industry RP Ribeiro, P Pereira, J Gama Machine Learning 105, 127-153, 2016	46	2016
Rebagg: Resampled bagging for imbalanced regression P Branco, L Torgo, RP Ribeiro Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018	40	2018
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
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
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	25	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	20	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

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