Rita P. Ribeiro

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Soavtorji

Luís TorgoCanada Research Chair, Professor, Faculty of Computer Science, Dalhousie UniversityPreverjeni e-poštni naslov na dal.ca
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECPreverjeni e-poštni naslov na fep.up.pt
Paula BrancoAssistant Professor, School Electrical Engineering and Computer Science at University of OttawaPreverjeni e-poštni naslov na uottawa.ca
Bruno VelosoFaculty of Economics, University of Porto, and INESC TECPreverjeni e-poštni naslov na fep.up.pt
Narjes DavariData Scientist, Constructor UniversityPreverjeni e-poštni naslov na constructor.university
Bernhard PfahringerProfessor of Computer Science, University of WaikatoPreverjeni e-poštni naslov na waikato.ac.nz
Nuno MonizAssociate Research Professor at Lucy Family Institute for Data & Society, University of Notre DamePreverjeni e-poštni naslov na nd.edu
Ehsan AminianResearcher, INESC TECPreverjeni e-poštni naslov na cisco.com
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DamePreverjeni e-poštni naslov na nd.edu
Lionel GuidiCNRS, Sorbonne University, Laboratoire d'oceanographie de VillefranchePreverjeni e-poštni naslov na imev-mer.fr
Paula KellettEuropean Marine BoardPreverjeni e-poštni naslov na marineboard.eu
Orlando OhashiProfessor Adjunto III - UFRAPreverjeni e-poštni naslov na ufra.edu.br
Vânia Gomes de AlmeidaSenior Lecturer in Medical Instrumentation and ElectronicsPreverjeni e-poštni naslov na mdx.ac.uk
Paula BrancoAssociated Professor with habilitationPreverjeni e-poštni naslov na fct.unl.pt

Spremljaj

Rita P. Ribeiro

Faculty of Sciences, University of Porto and INESC TEC

Preverjeni e-poštni naslov na fc.up.pt

Imbalanced Domain Learning Anomaly Detection Explainable AI AI for Social Good


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
A survey of predictive modeling on imbalanced domains P Branco, L Torgo, RP Ribeiro ACM computing surveys (CSUR) 49 (2), 1-50, 2016	1488	2016
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Portuguese conference on artificial intelligence, 378-389, 2013	402	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	349	2017
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert systems 32 (3), 465-476, 2015	183	2015
UBL: an R package for utility-based learning P Branco, RP Ribeiro, L Torgo arXiv preprint arXiv:1604.08079, 2016	120	2016
Precision and recall for regression L Torgo, R Ribeiro Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009	114	2009
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	112	2021
Imbalanced regression and extreme value prediction RP Ribeiro, N Moniz Machine Learning 109, 1803-1835, 2020	111	2020
Utility-based regression L Torgo, R Ribeiro Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007	101	2007
Pre-processing approaches for imbalanced distributions in regression P Branco, L Torgo, RP Ribeiro Neurocomputing 343, 76-99, 2019	99	2019
Utility-based regression RP Ribeiro Ph. D. dissertation, 2011	81	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	71	2017
Rebagg: Resampled bagging for imbalanced regression P Branco, L Torgo, RP Ribeiro Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018	62	2018
Sequential anomalies: a study in the railway industry RP Ribeiro, P Pereira, J Gama Machine Learning 105, 127-153, 2016	58	2016
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	49	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	47	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	38	2018
Big data in marine science L Guidi, AF Guerra, C Canchaya, E Curry, F Foglini, JO Irisson, K Malde, ... European Marine Board, 2020	35	2020
A comparative study on predicting algae blooms in Douro River, Portugal R Ribeiro, L Torgo Ecological modelling 212 (1-2), 86-91, 2008	32	2008
The MetroPT dataset for predictive maintenance B Veloso, RP Ribeiro, J Gama, PM Pereira Scientific Data 9 (1), 764, 2022	31	2022

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