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      A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines 

      Del Campo Hagelstrom, Inés Juliana ORCID; Martínez González, María Victoria; Echanove Arias, Francisco Javier ORCID; Asua Uriarte, Estibaliz ORCID; Finker de la Iglesia, Raúl ORCID; Basterrechea Oyarzabal, Koldobika (Springer, 2019-08-05)
      In the present scenario of technological breakthroughs in the automotive industry, machine learning is greatly contributing to the development of safer and more comfortable vehicles. In particular, personalization of the ...
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      Implementable hybrid quantum ant colony optimization algorithm 

      García de Andoin Bolaño, Mikel; Echanove Arias, Francisco Javier ORCID (Springer, 2022-12)
      We propose a new hybrid quantum algorithm based on the classical Ant Colony Optimization algorithm to produce approximate solutions for NP-hard problems, in particular optimization problems. First, we discuss some previously ...