Publikationen, an denen er mitarbeitet Santiago Ruiz Miguel (10)

2024

  1. Latent variable model inversion for intervals. Application to tolerance intervals in class-modelling situations, and specification limits in process control

    Chemometrics and Intelligent Laboratory Systems, Vol. 251

2022

  1. Simultaneous class-modelling in chemometrics: A generalization of Partial Least Squares class modelling for more than two classes by using error correcting output code matrices

    Chemometrics and Intelligent Laboratory Systems, Vol. 227

2021

  1. A new approach based on inversion of a partial least squares model searching for a preset analytical target profile. Application to the determination of five bisphenols by liquid chromatography with diode array detector

    Analytica Chimica Acta, Vol. 1149, Núm. 338217, pp. 1-12

  2. Handling Variables, via Inversion of Partial Least Squares Models for Class-Modelling, to Bring Defective Items to Non-Defective Ones

    Frontiers in Chemistry, Vol. 9

  3. Method operable design region obtained with a partial least squares model inversion in the determination of ten polycyclic aromatic hydrocarbons by liquid chromatography with fluorescence detection

    Journal of Chromatography A, Vol. 1657

  4. Partial Least Squares model inversion in the chromatographic determination of triazines in water

    Microchemical Journal, Vol. 164, Núm. 105971, pp. 1-9

2020

  1. Residual spaces in latent variables model inversion and their impact in the design space for given quality characteristics

    Chemometrics and Intelligent Laboratory Systems, Vol. 203

2019

  1. Multivariate analysis for overall assessment of student learning based on several individual scores obtained in different activities

    Edulearn19: 11th international conference on education and new learning technologies

2018

  1. A computational approach to partial least squares model inversion in the framework of the process analytical technology and quality by design initiatives

    Chemometrics and Intelligent Laboratory Systems, Vol. 182, pp. 70-78

  2. The risk of a wrong approach in teaching innovations

    11th international conference of education, research and innovation (iceri2018)