Luís Torgo

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Paula BrancoAssistant Professor, School Electrical Engineering and Computer Science at University of OttawaVerificeret mail på uottawa.ca
Rita P. RibeiroFaculty of Sciences, University of Porto and INESC TECVerificeret mail på fc.up.pt
Vitor CerqueiraUniversity of Porto, FEUP, LIACCVerificeret mail på fe.up.pt
Carlos SoaresAssociate Professor, Faculdade de Engenharia da U. Porto/External Advisor at Fraunhofer AICOSVerificeret mail på fe.up.pt
Nuno MonizAssociate Research Professor at Lucy Family Institute for Data & Society, University of Notre DameVerificeret mail på nd.edu
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerificeret mail på fep.up.pt
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerificeret mail på stat.uni-muenchen.de
Jan N. van RijnLeiden UniversityVerificeret mail på liacs.leidenuniv.nl
Joaquin VanschorenEindhoven University of TechnologyVerificeret mail på tue.nl
Alvaro FigueiraCRACS/ INESCTEC and Faculty of Sciences, University of PortoVerificeret mail på fc.up.pt
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerificeret mail på waikato.ac.nz
Nuno GuimarãesLIAAD/INESCTEC and University of PortoVerificeret mail på inesctec.pt
Catarina MagalhãesResearcher at CIIMARVerificeret mail på ciimar.up.pt
Igor MozetičJožef Stefan Institute, Ljubljana, SloveniaVerificeret mail på ijs.si
Alípio JorgeUniversity of Porto, FCUP, DCC, INESC TEC, LIAADVerificeret mail på fc.up.pt
Orlando OhashiProfessor Adjunto III - UFRAVerificeret mail på ufra.edu.br
Fábio PintoAutomaiseVerificeret mail på inesctec.pt
Albert BifetTélécom ParisTech & University of WaikatoVerificeret mail på telecom-paristech.fr
Manuel HerreraNewcastle UniversityVerificeret mail på newcastle.ac.uk
Vítor Santos CostaProfessor of Computer Science, Universidade do PortoVerificeret mail på dcc.fc.up.pt

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Luís Torgo

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

Verificeret mail på dal.ca - Startside

Data Science Data Mining Machine Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
OpenML: networked science in machine learning JVJN van Rijn and Bernd Bischl and Luis Torgo SIGKDD Explorations 15 (2), 49-60, 2013	1580*	2013
A survey of predictive modeling on imbalanced domains P Branco, L Torgo, RP Ribeiro ACM computing surveys (CSUR) 49 (2), 1-50, 2016	1480	2016
Data mining with R: learning with case studies L Torgo CRC press, ISBN 9781439876404, 2010	961	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	591	2010
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Portuguese conference on artificial intelligence, 378-389, 2013	397	2013
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	349	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	342	2017
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	225	2004
Functional models for regression tree leaves L Torgo ICML 97, 385-393, 1997	194	1997
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert systems 32 (3), 465-476, 2015	182	2015
Inductive learning of tree-based regression models LFRA Torgo PhD Thesis, Faculty of Sciences, University of Porto, 1999	174*	1999
Machine learning vs statistical methods for time series forecasting: Size matters V Cerqueira, L Torgo, C Soares arXiv preprint arXiv:1909.13316, 2019	134	2019
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	128	2006
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
Ensembles for Time Series Forecasting. M Oliveira, L Torgo ACML'2014, JMLR: Workshop and Conference Proceeding 39, 360-370, 2014	110	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	110*	2013
Regression by classification L Torgo, J Gama Advances in Artificial Intelligence: 13th Brazilian Symposium on Artificial …, 1996	108	1996
Regression datasets L Torgo Data Sets Repository, URL: http://www. dcc. fc. up. pt/~ltorgo/Regression …, 2012	105*	2012
Utility-based regression L Torgo, R Ribeiro Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007	101	2007

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