Luís Torgo

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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 Porto and INESC TECVerified email at fc.up.pt
Vitor CerqueiraUniversity of Porto, FEUP, LIACCVerified email at fe.up.pt
Carlos SoaresAssociate Professor, Faculdade de Engenharia da U. Porto/External Advisor at Fraunhofer AICOSVerified email at fe.up.pt
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
Alvaro FigueiraCRACS/ INESCTEC and Faculty of Sciences, University of PortoVerified email at fc.up.pt
Nuno GuimarãesLIAAD/INESCTEC and University of PortoVerified email at inesctec.pt
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Alípio JorgeUniversity of Porto, FCUP, DCC, INESC TEC, LIAADVerified email at fc.up.pt
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
Fábio PintoAutomaiseVerified email at inesctec.pt
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Manuel HerreraNewcastle UniversityVerified email at newcastle.ac.uk
Rui CamachoUniversidade do PortoVerified email at g.uporto.pt

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	1476*	2013
A survey of predictive modeling on imbalanced domains P Branco, L Torgo, RP Ribeiro ACM computing surveys (CSUR) 49 (2), 1-50, 2016	1407	2016
Data mining with R: learning with case studies L Torgo CRC press, ISBN 9781439876404, 2010	951	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	573	2010
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	352	2017
Evaluating time series forecasting models: An empirical study on performance estimation methods V Cerqueira, L Torgo, I Mozetič Machine Learning 109 (11), 1997-2028, 2020	304	2020
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 Sector, 2004	224	2004
Functional models for regression tree leaves L Torgo ICML 97, 385-393, 1997	190	1997
Inductive learning of tree-based regression models LFRA Torgo PhD Thesis, Faculty of Sciences, University of Porto, 1999	179	1999
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert systems 32 (3), 465-476, 2015	173	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, 144-171, 2006	125	2006
Machine learning vs statistical methods for time series forecasting: Size matters V Cerqueira, L Torgo, C Soares arXiv preprint arXiv:1909.13316, 2019	121	2019
UBL: an R package for utility-based learning P Branco, RP Ribeiro, L Torgo arXiv preprint arXiv:1604.08079, 2016	110	2016
Regression by classification L Torgo, J Gama Advances in Artificial Intelligence: 13th Brazilian Symposium on Artificial …, 1996	109	1996
Ensembles for Time Series Forecasting. M Oliveira, L Torgo ACML'2014, JMLR: Workshop and Conference Proceeding 39, 360-370, 2014	106	2014
OpenML: A Collaborative Science Platform JN van Rijn and Bernd Bischl and Luis Torgo and Bo Proceedings of ECML/PKDD'2013, 645-649, 2013	105*	2013
Precision and recall for regression L Torgo, R Ribeiro Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009	102	2009
Regression datasets L Torgo Data Sets Repository, URL: http://www. dcc. fc. up. pt/~ltorgo/Regression …, 2012	101*	2012
Utility-based regression L Torgo, R Ribeiro Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007	93	2007

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