Luís Torgo

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Paula BrancoAssistant Professor, School Electrical Engineering and Computer Science at University of OttawaPreverjeni e-poštni naslov na uottawa.ca
Rita P. RibeiroFaculty of Sciences, University of Porto and INESC TECPreverjeni e-poštni naslov na fc.up.pt
Vitor CerqueiraUniversity of Porto, FEUP, LIACCPreverjeni e-poštni naslov na fe.up.pt
Carlos SoaresAssociate Professor, Faculdade de Engenharia da U. Porto/External Advisor at Fraunhofer AICOSPreverjeni e-poštni naslov na fe.up.pt
Nuno MonizAssociate Research Professor at Lucy Family Institute for Data & Society, University of Notre DamePreverjeni e-poštni naslov na nd.edu
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECPreverjeni e-poštni naslov na fep.up.pt
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichPreverjeni e-poštni naslov na stat.uni-muenchen.de
Jan N. van RijnLeiden UniversityPreverjeni e-poštni naslov na liacs.leidenuniv.nl
Joaquin VanschorenEindhoven University of TechnologyPreverjeni e-poštni naslov na tue.nl
Alvaro FigueiraCRACS/ INESCTEC and Faculty of Sciences, University of PortoPreverjeni e-poštni naslov na fc.up.pt
Nuno GuimarãesLIAAD/INESCTEC and University of PortoPreverjeni e-poštni naslov na inesctec.pt
Bernhard PfahringerProfessor of Computer Science, University of WaikatoPreverjeni e-poštni naslov na waikato.ac.nz
Catarina MagalhãesResearcher at CIIMARPreverjeni e-poštni naslov na ciimar.up.pt
Igor MozetičJožef Stefan Institute, Ljubljana, SloveniaPreverjeni e-poštni naslov na ijs.si
Alípio JorgeUniversity of Porto, FCUP, DCC, INESC TEC, LIAADPreverjeni e-poštni naslov na fc.up.pt
Orlando OhashiProfessor Adjunto III - UFRAPreverjeni e-poštni naslov na ufra.edu.br
Fábio PintoAutomaisePreverjeni e-poštni naslov na inesctec.pt
Albert BifetTélécom ParisTech & University of WaikatoPreverjeni e-poštni naslov na telecom-paristech.fr
Manuel HerreraNewcastle UniversityPreverjeni e-poštni naslov na newcastle.ac.uk
Vítor Santos CostaProfessor of Computer Science, Universidade do PortoPreverjeni e-poštni naslov na dcc.fc.up.pt

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Luís Torgo

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

Preverjeni e-poštni naslov na dal.ca - Domača stran

Data Science Data Mining Machine Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
OpenML: networked science in machine learning JVJN van Rijn and Bernd Bischl and Luis Torgo SIGKDD Explorations 15 (2), 49-60, 2013	1601*	2013
A survey of predictive modeling on imbalanced domains P Branco, L Torgo, RP Ribeiro ACM computing surveys (CSUR) 49 (2), 1-50, 2016	1492	2016
Data mining with R: learning with case studies L Torgo CRC press, ISBN 9781439876404, 2010	967	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	594	2010
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Portuguese conference on artificial intelligence, 378-389, 2013	403	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	359	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	353	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	195	1997
Resampling strategies for regression L Torgo, P Branco, RP Ribeiro, B Pfahringer Expert systems 32 (3), 465-476, 2015	183	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	140	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	109	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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