José Hernández-Orallo
TitleCited byYear
Introduction to Data Mining, 1st Edition
J Hernández-Orallo, MJ Ramírez-Quintana, C Ferri-Ramírez
Pearson, 2004
An experimental comparison of performance measures for classification
C Ferri, J Hernández-Orallo, R Modroiu
Pattern Recognition Letters 30 (1), 27-38, 2009
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
Volume under the ROC surface for multi-class problems
C Ferri, J Hernández-Orallo, MA Salido
European conference on machine learning, 108-120, 2003
Knowledge Discovery from Databases
J Hernandez-Orallo
Encyclopedia of Database Technologies and Applications, 313-318, 2005
A unified view of performance metrics: translating threshold choice into expected classification loss
J Hernández-Orallo, P Flach, C Ferri
Journal of Machine Learning Research 13 (Oct), 2813-2869, 2012
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
Measuring universal intelligence: Towards an anytime intelligence test
J Hernández-Orallo, DL Dowe
Artificial Intelligence 174 (18), 1508-1539, 2010
Inductive Programming Meets the Real World
S Gulwani, J Hernández-Orallo, E Kitzelmann, SH Muggleton, U Schmid, ...
Communications of the ACM 58 (11), 2015
Beyond the Turing test
J Hernandez-Orallo
Journal of Logic, Language and Information 9 (4), 447-466, 2000
Improving the AUC of probabilistic estimation trees
C Ferri, PA Flach, J Hernández-Orallo
European Conference on Machine Learning, 121-132, 2003
Delegating classifiers
C Ferri, P Flach, J Hernández-Orallo
International Conference on Machine Learning: ICML, 37, 2004
Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement
J Hernández-Orallo
Artificial Intelligence Review 48 (3), 397-447, 2017
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
Quantification via probability estimators
A Bella, C Ferri, J Hernández-Orallo, MJ Ramirez-Quintana
2010 IEEE International Conference on Data Mining, 737-742, 2010
ROC curves for regression
J Hernández-Orallo
Pattern Recognition 46 (12), 3395-3411, 2013
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
The Measure of All Minds: Evaluating Natural and Artificial Intelligence
J Hernández-Orallo
Cambridge University Press, 2017
Decision Support for Data Mining: Introduction to ROC analysis and its applications
P Flach, H Blockeel, C Ferri, J Hernandez-OralIo, J Struyf
Data Mining and Decision Support, 81-90, 2003
IQ tests are not for machines, yet
DL Dowe, J Hernández-Orallo
Intelligence 40 (2), 77, 2012
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