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- Alongside Cristina, 18 other professional women in science and technology spoke to 90 young people gathered at the Ensanche Building about the c
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- La Rioja native Miguel Aguilera receives support from the ”la Caixa” Foundation under the Junior Leader postdoctoral fellowship program, which has just awarded a total of 40 fellowships to out
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The scientists who inspired us (XI): Another brick in the wall
History is written through the hegemony of great names and great legends, for reasons which, a priori, seem unperturbable within a social structure in which a vast quantity of unavo
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View allCharacterization of rankings generated by pseudo-Boolean functions
Unanue, I.; Merino, M.; Lozano, J.A. (2024-01-01)
In this paper we pursue the study of pseudo-Boolean functions as ranking generators. The objective of the work is to find new insights between the relation of the degree of a pseudo-Boolean function and the rankings that ...
Speeding-Up Evolutionary Algorithms to Solve Black-Box Optimization Problems
Echevarrieta, J.; Arza, E.; Pérez, A. (2024-01-10)
Population-based evolutionary algorithms are often considered when approaching computationally expensive black-box optimization problems. They employ a selection mechanism to choose the best solutions from a given population...
Fast Computation of Cluster Validity Measures for Bregman Divergences and Benefits
Capó, M.; Pérez, A.; Lozano, J.A. (2023-01-01)
Partitional clustering is one of the most relevant unsupervised learning and pattern recognition techniques. Unfortunately, one of the main drawbacks of these methodologies refer to the fact that the number of clusters is ge...
Fast K-Medoids With the l_1-Norm
Capó, M.; Pérez, A.; Lozano, J.A. (2023-07-26)
K-medoids clustering is one of the most popular techniques in exploratory data analysis. The most commonly used algorithms to deal with this problem are quadratic on the number of instances, n, and usually the quality of the...