José Hernández-Orallo

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Cèsar FerriVRAIN (UPV), ValGRAIPatvirtintas el. paštas dsic.upv.es
Fernando Martínez-PlumedVRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politecnica de ValenciaPatvirtintas el. paštas dsic.upv.es
María José RamírezUniversitat Politècnica de ValènciaPatvirtintas el. paštas dsic.upv.es
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolPatvirtintas el. paštas bristol.ac.uk
David L DoweMonash UniversityPatvirtintas el. paštas monash.edu
Lidia Contreras-OchandoVRAIN-UPVPatvirtintas el. paštas upv.es
Antonio BellaUniversitat Politècnica de ValènciaPatvirtintas el. paštas dsic.upv.es
Lucy ChekeAssociate Professor, Department of Psychology, CambridgePatvirtintas el. paštas cam.ac.uk
Sean S O hEigeartaighCentre for the Study of Existential Risk, University of CambridgePatvirtintas el. paštas cam.ac.uk
Nicolas LachicheProfessor in Computer Science, University of StrasbourgPatvirtintas el. paštas unistra.fr
Ute SchmidProfessor of Cognitive Systems, University of BambergPatvirtintas el. paštas uni-bamberg.de
Adolfo Martínez-UsóPhotonicSENSPatvirtintas el. paštas uji.es
Bao Sheng LoeUniversity of CambridgePatvirtintas el. paštas cam.ac.uk
Emilia GómezJoint Research Centre, European Commission and Music Technology Group, Universitat Pompeu FabraPatvirtintas el. paštas upf.edu
John BurdenUniversity of CambridgePatvirtintas el. paštas cam.ac.uk
Meelis KullAssociate Professor, University of TartuPatvirtintas el. paštas ut.ee
Wout SchellaertUniversitat Politècnica de ValènciaPatvirtintas el. paštas vrain.upv.es
Enrique Fernandez-MaciasResearcher in the Joint Research Centre of the European Commission, SevillaPatvirtintas el. paštas ec.europa.eu
Stephen MuggletonImperial College LondonPatvirtintas el. paštas imperial.ac.uk
Matthew CrosbyImperial College LondonPatvirtintas el. paštas mdcrosby.com

Stebėti

José Hernández-Orallo

Kiti vardaiJose H. Orallo

VRAIN (UPV), ValGRAI, CFI, CSER.

Patvirtintas el. paštas upv.es - Pagrindinis puslapis

Artificial Intelligence Data Science Intelligence AI Evaluation AI Safety


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
An experimental comparison of performance measures for classification C Ferri, J Hernández-Orallo, R Modroiu Pattern recognition letters 30 (1), 27-38, 2009	1063	2009
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	1002	2022
Introduction to Data Mining, 1st Edition J Hernández-Orallo, MJ Ramírez-Quintana, C Ferri-Ramírez Pearson, 2004	941*	2004
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	524	2021
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	447	2002
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	369	2011
Knowledge Discovery from Databases J Hernandez-Orallo Encyclopedia of Database Technologies and Applications, 313-318, 2005	303*	2005
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	272	2012
Volume under the ROC surface for multi-class problems C Ferri, J Hernández-Orallo, MA Salido European conference on machine learning, 108-120, 2003	260	2003
Inductive Programming Meets the Real World S Gulwani, J Hernández-Orallo, E Kitzelmann, SH Muggleton, U Schmid, ... Communications of the ACM 58 (11), 2015	226	2015
Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement J Hernández-Orallo Artificial Intelligence Review 48 (3), 397-447, 2017	223	2017
Measuring universal intelligence: Towards an anytime intelligence test J Hernández-Orallo, DL Dowe Artificial Intelligence 174 (18), 1508-1539, 2010	204	2010
Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning R Desislavov, F Martínez-Plumed, J Hernández-Orallo Sustainable Computing 38, 100857, 2023	198*	2023
The Measure of All Minds: Evaluating Natural and Artificial Intelligence J Hernández-Orallo Cambridge University Press, 2017	192	2017
Quantification via probability estimators A Bella, C Ferri, J Hernández-Orallo, MJ Ramirez-Quintana 2010 IEEE International Conference on Data Mining, 737-742, 2010	160	2010
ROC curves for regression J Hernández-Orallo Pattern Recognition 46 (12), 3395-3411, 2013	157	2013
Beyond the Turing test J Hernandez-Orallo Journal of Logic, Language and Information 9, 447-466, 2000	148	2000
Item response theory in AI: Analysing machine learning classifiers at the instance level F Martínez-Plumed, RBC Prudêncio, A Martínez-Usó, J Hernández-Orallo Artificial intelligence 271, 18-42, 2019	118	2019
Delegating classifiers C Ferri, P Flach, J Hernández-Orallo International Conference on Machine Learning: ICML, 37, 2004	113	2004
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	109	2003

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