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Alberto Japón Sáez
Alberto Japón Sáez
Carnegie Mellon University
在 us.es 的电子邮件经过验证
标题
引用次数
引用次数
年份
Optimal arrangements of hyperplanes for SVM-based multiclass classification
V Blanco, A Japón, J Puerto
Advances in Data Analysis and Classification 14 (1), 175-199, 2020
442020
A mathematical programming approach to SVM-based classification with label noise
V Blanco, A Japón, J Puerto
Computers & Industrial Engineering 172, 108611, 2022
40*2022
On the multisource hyperplanes location problem to fitting set of points
V Blanco, A Japón, D Ponce, J Puerto
Computers & Operations Research 128, 105124, 2021
182021
Robust optimal classification trees under noisy labels
V Blanco, A Japón, J Puerto
Advances in Data Analysis and Classification 16 (1), 155-179, 2022
142022
Multiclass optimal classification trees with svm-splits
V Blanco, A Japón, J Puerto
Machine Learning 112 (12), 4905-4928, 2023
92023
Multiclass optimal classification trees with SVM‑splits
V Blanco Izquierdo, A Japón, J Puerto
Springer Nature, 2023
2023
Correction to: Robust optimal classification trees under noisy labels
V Blanco, A Japón, J Puerto
Advances in Data Analysis and Classification 16 (4), 1095-1095, 2022
2022
A Mathematical Programming Approach to Optimal Classification Forests
V Blanco, A Japón, J Puerto, P Zhang
arXiv preprint arXiv:2211.10502, 2022
2022
A mathematical programming approach to SVM-based classification with label noise
V Blanco Izquierdo, A Japón, J Puerto
Elsevier, 2022
2022
New Advances In Data Science Problems Through Hyperplanes Location
A Japón Sáez
2022
Extensive facility location problems with hyperplanes
V Blanco, A Japón, D Ponce, J Puerto
X International Workshop on Locational Analysis and Related Problems, 25, 2020
2020
Optimal arrangements of hyperplanes for SVM-based multiclass classification
V Blanco Izquierdo, A Japón Sáez, J Puerto Albandoz
Advances in Data Analysis and Classification, 1-25., 2019
2019
Juegos de evasión
A Japón Sáez
2016
Locating Hyperplanes for Multiclass Classification
V Blanco, A Japón, J Puerto
Conference Map, 41, 0
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