Pavel Brazdil - Google Scholar Citations

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Citations	4375	2059
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Co-authors

Joao GamaAssociate Professor, Faculty of Economics, University of PortoVerified email at fep.up.pt
Christophe Giraud-CarrierAssociate Professor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Alípio JorgeLIAAD, INESC Porto, DCC, FCUP, university of PortoVerified email at fc.up.pt
João CordeiroUniversity of Beira InteriorVerified email at di.ubi.pt
Salisu Mamman Abdulrahman (PhD)Faculty Member, Kano University of Science and Technology, Wudil, KanoVerified email at fc.up.pt
Luís TorgoProfessor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
Fabrice ColasCardiovascular & Thoracic Surgery Service, University Hospital Center (CHU) of Rennes, FranceVerified email at fabricecolas.me
Gaël DiasFull Professor, Normandie University - CNRS GREYCVerified email at unicaen.fr
Kaustubh Raosaheb PatilJülich Research Center, Heinrich-Heine-Universität DüsseldorfVerified email at mit.edu
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Johann PetrakAustrian Research Institute for Artificial Intelligence (OFAI) and Uni Sheffield, NLP group, GATEVerified email at sheffield.ac.uk
Matjaz GamsJozef Stefan InstituteVerified email at ijs.si
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Ljupco TodorovskiProfessor of Informatics, University of LjubljanaVerified email at fu.uni-lj.si
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
Luis Moreira-MatiasHead of Data Science, Kreditech Holding SSLVerified email at kreditech.com
Isabel MotaAssistant Professor, Faculdade de Economia, Universidade do PortoVerified email at fep.up.pt
Joost KokDean of the Faculty of Electrical Engineering, Mathematics and Computer Science at the University ofVerified email at utwente.nl
Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at

Pavel Brazdil

Professor at FEP, U.Porto, Member of LIAAD-INESC Tec

Verified email at inescporto.pt

Machine Learning Data Mining


Title	Cited by	Year
Metalearning: Applications to data mining P Brazdil, CG Carrier, C Soares, R Vilalta Springer Science & Business Media, 2008	510	2008
Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results PB Brazdil, C Soares, JP Da Costa Machine Learning 50 (3), 251-277, 2003	449	2003
Cascade generalization J Gama, P Brazdil Machine learning 41 (3), 315-343, 2000	328	2000
Characterizing the applicability of classification algorithms using meta-level learning P Brazdil, J Gama, B Henery European conference on machine learning, 83-102, 1994	194	1994
Characterization of classification algorithms J Gama, P Brazdil Portuguese Conference on Artificial Intelligence, 189-200, 1995	179	1995
Introduction to the special issue on meta-learning C Giraud-Carrier, R Vilalta, P Brazdil Machine learning 54 (3), 187-193, 2004	178	2004
A meta-learning method to select the kernel width in support vector regression C Soares, PB Brazdil, P Kuba Machine learning 54 (3), 195-209, 2004	175	2004
A comparison of ranking methods for classification algorithm selection PB Brazdil, C Soares European conference on machine learning, 63-75, 2000	169	2000
Improved dataset characterisation for meta-learning Y Peng, PA Flach, C Soares, P Brazdil International Conference on Discovery Science, 141-152, 2002	134	2002
Comparison of SVM and some older classification algorithms in text classification tasks F Colas, P Brazdil IFIP International Conference on Artificial Intelligence in Theory and …, 2006	126	2006
Zoomed ranking: Selection of classification algorithms based on relevant performance information C Soares, PB Brazdil European conference on principles of data mining and knowledge discovery …, 2000	119	2000
Using Meta-Learning to Support Data Mining. R Vilalta, CG Giraud-Carrier, P Brazdil, C Soares IJCSA 1 (1), 31-45, 2004	114	2004
Selecting classification algorithms with active testing R Leite, P Brazdil, J Vanschoren International workshop on machine learning and data mining in pattern …, 2012	89	2012
Factors influencing hospital high length of stay outliers A Freitas, T Silva-Costa, F Lopes, I Garcia-Lema, A Teixeira-Pinto, ... BMC health services research 12 (1), 265, 2012	87	2012
Knowledge Integration L Torgo Current Trends in Knowledge Acquisition 8, 90, 1990	81	1990
Linear tree J Gama, P Brazdil Intelligent Data Analysis 3 (1), 1-22, 1999	76	1999
Cost-sensitive decision trees applied to medical data A Freitas, A Costa-Pereira, P Brazdil International Conference on Data Warehousing and Knowledge Discovery, 303-312, 2007	72	2007
Learning in distributed systems and multi-agent environments P Brazdil, M Gams, S Sian, L Torgo, W Van de Velde European Working Session on Learning, 412-423, 1991	69	1991
Predicting relative performance of classifiers from samples R Leite, P Brazdil Proceedings of the 22nd international conference on Machine learning, 497-503, 2005	66	2005
Analysis of results PB Brazdil, RJ Henery Machine learning, neural and statistical classification, 175-212, 1994	59	1994

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