Vitale, Raffaele; Noord, Onno E. de; Westerhuis, Johan A.; Smilde, Age K.; Ferrer, Alberto(John Wiley & Sons, 2021-02)
[EN] The possibility of addressing the problem of process troubleshooting and understanding by modelling common and distinctive sources of variation (factorsorcomponents) underlying two sets of measurements was explored ...
Folch-Fortuny, Abel; Teusink, Bas; Hoefsloot, Huub C.J.; Smilde, Age K.; Ferrer, Alberto(Springer (Biomed Central Ltd.), 2018)
[EN] A novel framework is proposed to analyse metabolic fluxes in non-steady state conditions, based on the new concept of dynamic elementary mode (dynEM): an elementary mode activated partially depending on the time point ...
González Martínez, José María; Vitale, Raffaele; de Noord, Onno E.; Ferrer, Alberto(American Chemical Society, 2014-03-19)
There is a widespread assumption that batch synchronization is only required if the batch trajectories have different duration. This paper is devoted to demonstrate that synchronization is a critical and necessary preliminary ...
[EN] Background: The inference of complex networks from data is a challenging problem in biological sciences, as well as in a wide range of disciplines such as chemistry, technology, economics, or sociology. The quantity ...
Barceló Cerdá, Susana(Universitat Politècnica de València, 2016-05-04)
[EN] Statistical Process Control (SPC) and the Automatic Process Control (APC) are two control philosophies have evolved independently until recently. The overall objective of both APC and SPC is to optimize the performance ...
Rodríguez López, Héctor(Universitat Politècnica de València, 2018-12-17)
El trabajo propuesto está centrado en el estudio del consumo específico de combustible en el horno de una unidad de destilación de crudo de una empresa petroquímica. Por motivos de confidencialidad no se revelarán datos ...
Navarro Ponce, Enrique(Universitat Politècnica de València, 2022-10-25)
[ES] En cualquier empresa de producción las condiciones que rodean al proceso productivo afectan de una manera u otra al resultado final del producto. Cuando estas condiciones no están controladas, su efecto puede introducir ...
Kuligowski, Julia; Pérez Guaita, David; Escobar, Javier; Guardia, Miguel de la; Vento, Máximo; Ferrer Riquelme, Alberto José; Quintás, Guillermo(Elsevier, 2013-11-15)
Variable subset selection is often mandatory in high throughput metabolomics and proteomics. However, depending on the variable to sample ratio there is a significant susceptibility of variable selection towards chance ...
Malagón-Selma, María del Pilar; Debón, A.; Ferrer, Alberto(Università del Salento, 2022-05)
[EN] This research proposes multivariate techniques for discovering the game actions that contribute to the final ranking of football teams. This study uses data from the "Big Five" teams that competed in the Bundesliga ...
Vidal Puig, Santiago(Universitat Politècnica de València, 2016-03-01)
[EN] An accurate fault diagnosis of both, faults sensors and real process faults have become more and more important for process monitoring (minimize downtime, increase safety of plant operation and reduce the manufacturing ...
[EN] Deviating multivariate observations are used typically to test the performance of outlier detection methods. Yet, the generation of outlying cases itself usually appears as a secondary methodological step in methods ...
[EN] Latent variable regression model (LVRM) inversion is a relevant tool for finding, if they exist, different combinations of manufacturing conditions that yield the desired process outputs. Finding the best manufacturing ...
Matossian, Robin(Universitat Politècnica de València, 2022-10-20)
[ES] Las economías de hoy forman un núcleo complejo de relaciones económicas y sociales. Por lo tanto, la aplicación de las Políticas Fiscal y Monetaria implica incertidumbre debido a la naturaleza dinámica de las economías ...
[EN] This article explores the potential of Kernel-Partial Least Squares (K-PLS) regression for the analysis of data proceeding from mixture designs of experiments. Gower's idea of pseudo-sample trajectories is exploited ...
The basic fundamentals of statistical process control (SPC)
were proposed by Walter Shewhart for data-starved production environments
typical in the 1920s and 1930s. In the 21st century, the traditional
scarcity of data ...
Malagón Selma, María del Pilar(Universitat Politècnica de València, 2023-10-05)
[ES] Esta tesis doctoral se centra en el estudio, implementación y aplicación de técnicas de aprendizaje automático y estadística multivariante en el emergente campo de la analítica deportiva, concretamente en el fútbol. ...
Malagón Selma, María del Pilar(Universitat Politècnica de València, 2019-10-25)
[ES] Este trabajo analiza el rendimiento en el terreno de juego de jugadores
profesionales de las grandes ligas europeas de fútbol durante la temporada 2017-18 a
partir de estrategias y técnicas de Machine Learning y Big ...
González-Cebrián, Alba; Borràs-Ferrís, Joan; Ordovás-Baines, Juan Pablo; Hermenegildo-Caudevilla, Marta; Climente-Martí, Mónica; Tarazona, Sonia; Vitale, Raffaele; Palací-López, Daniel; Sierra-Sánchez, Jesús Francisco; Saez de la Fuente, Javier; Ferrer, Alberto(Public Library of Science, 2022-09-22)
[EN] The clinical course of COVID-19 is highly variable. It is therefore essential to predict as early and accurately as possible the severity level of the disease in a COVID-19 patient who is admitted to the hospital. ...
Folch-Fortuny, Abel; Tortajada Serra, Marta; Prats-Montalbán, José Manuel; Llaneras Estrada, Francisco; Picó Marco, Jesús Andrés; Ferrer Riquelme, Alberto José(Elsevier, 2015-03-15)
[EN] With the aim of understanding the flux distributions across a metabolic network, i.e. within living cells, Principal Component Analysis (PCA) has been proposed to obtain a set of orthogonal components (pathways) ...