Cèsar Ferri
Cited by
Cited by
Introducción a la Minería de Datos
J Hernández Orallo, MJ Ramírez Quintana, C Ferri Ramírez
Pearson Educación SA Madrid, 2004
An experimental comparison of performance measures for classification
C Ferri, J Hernández-Orallo, R Modroiu
Pattern Recognition Letters 30 (1), 27-38, 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, ...
arXiv preprint arXiv:2206.04615, 2022
CRISP-DM twenty years later: From data mining processes to data science trajectories
F Martínez-Plumed, L Contreras-Ochando, C Ferri, J Hernández-Orallo, ...
IEEE transactions on knowledge and data engineering 33 (8), 3048-3061, 2019
Learning decision trees using the area under the ROC curve
C Ferri, P Flach, J Hernández-Orallo
Icml 2, 139-146, 2002
A coherent interpretation of AUC as a measure of aggregated classification performance
C Ferri, J Hernández-Orallo, PA Flach
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
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
Volume under the ROC surface for multi-class problems
C Ferri, J Hernández-Orallo, MA Salido
European conference on machine learning, 108-120, 2003
Quantification via probability estimators
A Bella, C Ferri, J Hernández-Orallo, MJ Ramirez-Quintana
2010 IEEE International Conference on Data Mining, 737-742, 2010
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
Delegating classifiers
C Ferri, P Flach, J Hernández-Orallo
Proceedings of the twenty-first international conference on Machine learning, 37, 2004
Brier curves: a new cost-based visualisation of classifier performance
J Hernández-Orallo, P Flach, C Ferri
Proceedings of the 28th International Conference on Machine Learning, ICML2011, 2011
Calibration of machine learning models
A Bella, C Ferri, J Hernández-Orallo, MJ Ramírez-Quintana
Handbook of Research on Machine Learning Applications and Trends: Algorithms …, 2010
Improving performance of multiclass classification by inducing class hierarchies
D Silva-Palacios, C Ferri, MJ Ramírez-Quintana
Procedia Computer Science 108, 1692-1701, 2017
Incremental learning of functional logic programs
C Ferri-Ramírez, J Hernández-Orallo, MJ Ramírez-Quintana
International Symposium on Functional and Logic Programming, 233-247, 2001
On the effect of calibration in classifier combination
A Bella, C Ferri, J Hernández-Orallo, MJ Ramírez-Quintana
Applied intelligence 38, 566-585, 2013
Missing the missing values: The ugly duckling of fairness in machine learning
MP Fernando, F Cèsar, N David, HO José
International Journal of Intelligent Systems 36 (7), 3217-3258, 2021
Cautious Classifiers.
C Ferri, J Hernández-Orallo
ROCAI 4, 27-36, 2004
Modifying ROC curves to incorporate predicted probabilities
C Ferri, P Flach, J Hernández-Orallo, A Senad
Proceedings of the second workshop on ROC analysis in machine learning 4140 …, 2005
ROC curves in cost space
J Hernández-Orallo, P Flach, C Ferri
Machine learning 93, 71-91, 2013
The system can't perform the operation now. Try again later.
Articles 1–20