Research output per year
Research output per year
Personal profile
Research Interests
Mathematical Engineer, PhD. In Applied Mathematics. Main research topics: Continuous Optimization, Machine Learning and Topology Optimization
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Dive into the research topics where Miguel Carrasco is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
Research output
- 20 Article
-
The Cobb-Douglas Learning Machine
Maldonado, S., López, J. & Carrasco, M., Aug 2022, In: Pattern Recognition. 128, 108701.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A feasible direction algorithm for nonlinear second-order cone programs
Canelas, A., Carrasco, M. & López, J., 2 Nov 2019, In: Optimization Methods and Software. 34, 6, p. 1322-1341 20 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
A new method for reliability analysis and reliability-based design optimization
Canelas, A., Carrasco, M. & López, J., 15 May 2019, In: Structural and Multidisciplinary Optimization. 59, 5, p. 1655-1671 17 p.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
Epsilon-nonparallel support vector regression.
Carrasco, M., López, J. & Maldonado, S., 1 Dec 2019, In: Applied Intelligence. 49, 12, p. 4223-4236 14 p.Research output: Contribution to journal › Article › peer-review
10 Scopus citations -
Regularized minimax probability machine.
Maldonado, S., Carrasco, M. & López, J., 1 Aug 2019, In: Knowledge-Based Systems. 177, p. 127-135 9 p.Research output: Contribution to journal › Article › peer-review
9 Scopus citations