Luís Torgo

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Citations	8209	5746
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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 CerqueiraDalhousie UniversityVerified email at dal.ca
Carlos SoaresAssociate Professor, Faculdade de Engenharia, Universidade do Porto / Fraunhofer AICOS / LIACCVerified email at fep.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
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 GuimarãesLIAAD/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
Stan MatwinDalhousie University, Halifax, Canada, Institute of Computer Science, Polish Academy of SciencesVerified email at cs.dal.ca
Brett DruryLIAAD-INESC-TEC, PortugalVerified email at inescporto.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	1229*	2013
A survey of predictive modeling on imbalanced domains P Branco, L Torgo, RP Ribeiro ACM computing surveys (CSUR) 49 (2), 1-50, 2016	1159	2016
Data mining with R: learning with case studies L Torgo CRC press, ISBN 9781439876404, 2010	891	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	516	2010
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Portuguese conference on artificial intelligence, 378-389, 2013	257	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	218	2004
Evaluating time series forecasting models: An empirical study on performance estimation methods V Cerqueira, L Torgo, I Mozetič Machine Learning 109, 1997-2028, 2020	202	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	189	2017
Functional models for regression tree leaves L Torgo ICML 97, 385-393, 1997	182	1997
Inductive learning of tree-based regression models LFRA Torgo PhD Thesis, Faculty of Sciences, University of Porto, 1999	176	1999
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert Systems 32 (3), 465-476, 2015	137	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	121	2006
UBL: an R package for utility-based learning P Branco, RP Ribeiro, L Torgo arXiv preprint arXiv:1604.08079, 2016	98	2016
Regression datasets L Torgo Data Sets Repository, URL: http://www. dcc. fc. up. pt/~ltorgo/Regression …, 2012	98*	2012
Machine learning vs statistical methods for time series forecasting: Size matters V Cerqueira, L Torgo, C Soares arXiv preprint arXiv:1909.13316, 2019	92	2019
Ensembles for Time Series Forecasting. M Oliveira, L Torgo ACML'2014, JMLR: Workshop and Conference Proceeding 39, 360-370, 2014	92	2014
Knowledge Acquisition via Knowledge Integration PB Brazdil, L Torgo Current Trends in Knowledge Acquisition 8 (https://www.researchgate.net …, 1990	90	1990
Regression by classification L Torgo, J Gama Advances in Artificial Intelligence: 13th Brazilian Symposium on Artificial …, 1996	89	1996
Learning in distributed systems and multi-agent environments P Brazdil, M Gams, S Sian, L Torgo, W Van de Velde Machine Learning—EWSL-91: European Working Session on Learning Porto …, 1991	89	1991
OpenML: A Collaborative Science Platform JN van Rijn and Bernd Bischl and Luis Torgo and Bo Proceedings of ECML/PKDD'2013, 645-649, 2013	88*	2013

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