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Sebastián Maldonado
- > Home > Persons > Sebastián Maldonado
Publications
- 2023
- [j71]Sebastián Maldonado, Carla Vairetti, Katherine Jara, Miguel Carrasco, Julio López:
OWAdapt: An adaptive loss function for deep learning using OWA operators. Knowl. Based Syst. 280: 111022 (2023) - [i4]Sebastián Maldonado, Carla Vairetti, Katherine Jara, Miguel Carrasco, Julio López:
OWAdapt: An adaptive loss function for deep learning using OWA operators. CoRR abs/2305.19443 (2023) - 2022
- [j64]Sebastián Maldonado, Julio López, Miguel Carrasco:
The Cobb-Douglas Learning Machine. Pattern Recognit. 128: 108701 (2022) - 2019
- [j48]Miguel Carrasco, Julio López, Sebastián Maldonado:
Epsilon-nonparallel support vector regression. Appl. Intell. 49(12): 4223-4236 (2019) - [j43]Julio López, Sebastián Maldonado, Miguel Carrasco:
Robust nonparallel support vector machines via second-order cone programming. Neurocomputing 364: 227-238 (2019) - [j41]Sebastián Maldonado, Miguel Carrasco, Julio López:
Regularized minimax probability machine. Knowl. Based Syst. 177: 127-135 (2019) - 2018
- [j37]Julio López, Sebastián Maldonado, Miguel Carrasco:
Double regularization methods for robust feature selection and SVM classification via DC programming. Inf. Sci. 429: 377-389 (2018) - 2017
- [j31]Julio López, Sebastián Maldonado, Miguel Carrasco:
A robust formulation for twin multiclass support vector machine. Appl. Intell. 47(4): 1031-1043 (2017) - 2016
- [j22]Julio López, Sebastián Maldonado, Miguel Carrasco:
A novel multi-class SVM model using second-order cone constraints. Appl. Intell. 44(2): 457-469 (2016) - [j21]Sebastián Maldonado, Julio López, Miguel Carrasco:
A second-order cone programming formulation for twin support vector machines. Appl. Intell. 45(2): 265-276 (2016) - [j20]Miguel Carrasco, Julio López, Sebastián Maldonado:
A second-order cone programming formulation for nonparallel hyperplane support vector machine. Expert Syst. Appl. 54: 95-104 (2016) - 2015
- [j10]Miguel Carrasco, Julio López, Sebastián Maldonado:
A multi-class SVM approach based on the l1-norm minimization of the distances between the reduced convex hulls. Pattern Recognit. 48(5): 1598-1607 (2015)
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