Luís Torgo

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Citations	7414	4997
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Paula BrancoAssistant Professor, School Electrical Engineering and Computer Science at University of OttawaVerified email at uottawa.ca
Rita P. RibeiroFaculty of Sciences, University of PortoVerified email at dcc.fc.up.pt
Carlos SoaresAssociate Professor, Faculdade de Engenharia, Universidade do Porto / Fraunhofer AICOS / LIACCVerified email at fep.up.pt
Vitor CerqueiraDalhousie UniversityVerified email at dal.ca
Nuno MonizAssociate Research Professor at Lucy Family Institute for Data & Society, University of Notre DameVerified email at nd.edu
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Jan N. van RijnLeiden UniversityVerified email at liacs.leidenuniv.nl
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Alípio JorgeUniversity of Porto, FCUP, DCC, INESC TEC, LIAADVerified email at fc.up.pt
Alvaro FigueiraCRACS/ INESCTEC and Faculty of Sciences, University of PortoVerified email at fc.up.pt
Nuno GuimarãesCRACS/INESCTEC and University of PortoVerified email at inesctec.pt
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Catarina MagalhãesResearcher at CIIMARVerified email at ciimar.up.pt
Igor MozetičJožef Stefan Institute, Ljubljana, SloveniaVerified email at ijs.si
Orlando OhashiProfessor Adjunto III - UFRAVerified email at ufra.edu.br
Manuel HerreraUniversity of CambridgeVerified email at cam.ac.uk
Fábio PintoAutomaiseVerified email at inesctec.pt
Brett DruryLIAAD-INESC-TEC, PortugalVerified email at inescporto.pt
Stan MatwinDalhousie University, Halifax, Canada, Institute of Computer Science, Polish Academy of SciencesVerified email at cs.dal.ca

Luís Torgo

Canada Research Chair, Professor, Faculty of Computer Science, Dalhousie University

Verified email at dal.ca - Homepage

Data Science Data Mining Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
OpenML: networked science in machine learning JVJN van Rijn and Bernd Bischl and Luis Torgo SIGKDD Explorations 15 (2), 49-60, 2013	1103*	2013
A survey of predictive modeling on imbalanced domains P Branco, L Torgo, RP Ribeiro ACM computing surveys (CSUR) 49 (2), 1-50, 2016	1011	2016
Data mining with R: learning with case studies L Torgo CRC press, ISBN 9781439876404, 2010	862*	2010
Predictive models for forecasting hourly urban water demand M Herrera, L Torgo, J Izquierdo, R Pérez-García Journal of hydrology 387 (1-2), 141-150, 2010	487	2010
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Progress in Artificial Intelligence: 16th Portuguese Conference on …, 2013	221	2013
Outlier detection using clustering methods: a data cleaning application A Loureiro, L Torgo, C Soares Proceedings of KDNet Symposium on Knowledge-based Systems for the Public …, 2004	211	2004
Functional models for regression tree leaves L Torgo ICML 97, 385-393, 1997	179	1997
Inductive learning of tree-based regression models LFRA Torgo PhD Thesis, Faculty of Sciences, University of Porto, 1999	168	1999
Evaluating time series forecasting models: An empirical study on performance estimation methods V Cerqueira, L Torgo, I Mozetič Machine Learning 109, 1997-2028, 2020	158	2020
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	141	2017
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert Systems 32 (3), 465-476, 2015	120	2015
Design of an end-to-end method to extract information from tables AC e Silva, AM Jorge, L Torgo International Journal of Document Analysis and Recognition (IJDAR) 8 (2-3 …, 2006	117	2006
Regression datasets L Torgo Data Sets Repository, URL: http://www. dcc. fc. up. pt/~ltorgo/Regression …, 2012	94*	2012
Ensembles for Time Series Forecasting. M Oliveira, L Torgo ACML'2014, JMLR: Workshop and Conference Proceeding 39, 360-370, 2014	91	2014
Knowledge Acquisition via Knowledge Integration PB Brazdil, L Torgo Current Trends in Knowledge Acquisition 8 (https://www.researchgate.net …, 1990	88	1990
Regression by classification L Torgo, J Gama Advances in Artificial Intelligence: 13th Brazilian Symposium on Artificial …, 1996	85	1996
UBL: an R package for utility-based learning P Branco, RP Ribeiro, L Torgo arXiv preprint arXiv:1604.08079, 2016	83	2016
OpenML: A Collaborative Science Platform JN van Rijn and Bernd Bischl and Luis Torgo and Bo Proceedings of ECML/PKDD'2013, 645-649, 2013	83*	2013
Machine learning vs statistical methods for time series forecasting: Size matters V Cerqueira, L Torgo, C Soares arXiv preprint arXiv:1909.13316, 2019	76	2019
Precision and recall for regression L Torgo, R Ribeiro Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009	76	2009

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