José Hernández-Orallo

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Cèsar FerriVRAIN. Universitat Politècnica de ValènciaVerified email at dsic.upv.es
Fernando Martínez-PlumedVRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politecnica de ValenciaVerified email at dsic.upv.es
María José RamírezUniversitat Politècnica de ValènciaVerified email at dsic.upv.es
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
David L DoweMonash UniversityVerified email at monash.edu
Lidia Contreras-OchandoVRAIN-UPVVerified email at upv.es
Antonio BellaUniversitat Politècnica de ValènciaVerified email at dsic.upv.es
Sean S O hEigeartaighCentre for the Study of Existential Risk, University of CambridgeVerified email at cam.ac.uk
Ute SchmidProfessor of Cognitive Systems, University of BambergVerified email at uni-bamberg.de
Nicolas LachicheAssociate professor in Computer Science, University of StrasbourgVerified email at unistra.fr
Adolfo Martínez-UsóUniversity Jaume IVerified email at uji.es
Lucy ChekeAssociate Professor, Department of Psychology, CambridgeVerified email at cam.ac.uk
Emilia GómezJoint Research Centre, European Commission and Music Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Bao Sheng LoeUniversity of CambridgeVerified email at cam.ac.uk
Meelis KullAssociate Professor, University of TartuVerified email at ut.ee
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
Enrique Fernandez-MaciasResearcher in the Joint Research Centre of the European Commission, SevillaVerified email at ec.europa.eu
Matthew CrosbyImperial College LondonVerified email at mdcrosby.com
John BurdenUniversity of CambridgeVerified email at cam.ac.uk
Shahar AvinUniversity of CambridgeVerified email at cam.ac.uk

José Hernández-Orallo

Other namesJose H. Orallo

VRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politecnica de Valencia

Verified email at upv.es - Homepage

Artificial Intelligence Data Science Intelligence AI Evaluation Inductive Programming


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An experimental comparison of performance measures for classification C Ferri, J Hernández-Orallo, R Modroiu Pattern recognition letters 30 (1), 27-38, 2009	952	2009
Introduction to Data Mining, 1st Edition J Hernández-Orallo, MJ Ramírez-Quintana, C Ferri-Ramírez Pearson, 2004	897*	2004
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... Transactions on Machine Learning Research, 2022	455	2022
Learning decision trees using the area under the ROC curve C Ferri, P Flach, J Hernández-Orallo International Conference on Machine Learning, ICML, 139-146, 2002	438	2002
CRISP-DM twenty years later: From data mining processes to data science trajectories F Martínez-Plumed, L Contreras-Ochando, C Ferri, JH Orallo, M Kull, ... IEEE Transactions on Knowledge and Data Engineering 33 (8), 3048-3061, 2021	350	2021
A coherent interpretation of AUC as a measure of aggregated classification performance PA Flach, J Hernández-Orallo, C Ferri International Conference on Machine Learning (ICML-11), 657-664, 2011	327	2011
Knowledge Discovery from Databases J Hernandez-Orallo Encyclopedia of Database Technologies and Applications, 313-318, 2005	281*	2005
Volume under the ROC surface for multi-class problems C Ferri, J Hernández-Orallo, MA Salido European conference on machine learning, 108-120, 2003	246	2003
A unified view of performance metrics: Translating threshold choice into expected classification loss J Hernández-Orallo, P Flach, C Ferri Ramírez Journal of Machine Learning Research 13, 2813-2869, 2012	245	2012
Inductive Programming Meets the Real World S Gulwani, J Hernández-Orallo, E Kitzelmann, SH Muggleton, U Schmid, ... Communications of the ACM 58 (11), 2015	213	2015
Measuring universal intelligence: Towards an anytime intelligence test J Hernández-Orallo, DL Dowe Artificial Intelligence 174 (18), 1508-1539, 2010	198	2010
Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement J Hernández-Orallo Artificial Intelligence Review 48 (3), 397-447, 2017	187	2017
The Measure of All Minds: Evaluating Natural and Artificial Intelligence J Hernández-Orallo Cambridge University Press, 2017	162	2017
Beyond the Turing test J Hernandez-Orallo Journal of Logic, Language and Information 9, 447-466, 2000	147	2000
Quantification via probability estimators A Bella, C Ferri, J Hernández-Orallo, MJ Ramirez-Quintana 2010 IEEE International Conference on Data Mining, 737-742, 2010	145	2010
ROC curves for regression J Hernández-Orallo Pattern Recognition 46 (12), 3395-3411, 2013	142	2013
Improving the AUC of probabilistic estimation trees C Ferri, PA Flach, J Hernández-Orallo Machine Learning: ECML 2003: 14th European Conference on Machine Learning …, 2003	110	2003
Delegating classifiers C Ferri, P Flach, J Hernández-Orallo International Conference on Machine Learning: ICML, 37, 2004	109	2004
Brier curves: a new cost-based visualisation of classifier performance J Hernández-Orallo, PA Flach, C Ferri International Conference on Machine Learning (ICML-11), 585-592, 2011	99	2011
A Formal Definition of Intelligence Based on an Intensional Variant of Algorithmic Complexity J Hernandez-Orallo Proceedings of the International Symposium of Engineering of Intelligent …, 1998	96	1998

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