Navarro Cerdán, José Ramón(Universitat Politècnica de València, 2014-12-02)
[EN] This work focuses on the study of different techniques of dimensionality reduction, in
combination with different learning algorithms in situations of high multicollinearity,
scattered spaces (due to the low number ...
Navarro Cerdán, José Ramón(Universitat Politècnica de València, 2016-04-18)
[EN] In this thesis a real application related to the string correction process from an OCR classifier in a form digitizing task is presented. These strings come from a classifier with a given error ratio that implies that ...
An OCR process is often followed by the application of a language model to find the best transformation of an OCR hypothesis into a string compatible with the constraints of the document, field or item under consideration. ...
Díaz Sydorenko, Karina(Universitat Politècnica de València, 2023-09-26)
[ES] La densidad mamaria es uno de los factores de riesgo del cáncer de mama, y depende
directamente de la cantidad de tejido fibroglandular en proporción al tejido adiposo existente en la mama. En algunos casos, el ...
Moltó Moltó, Jorge Ramón(Universitat Politècnica de València, 2023-10-05)
[ES] La genómica es la disciplina que estudia el genoma humano. Uno de los principales desafíos es: la detección de variables genéticas relevantes que determinen un genotipo o enfermedad. En este ámbito de estudio nos ...
We use Weighted Finite-State Transducers (WFSTs) to represent the different sources of information available: the initial hypotheses, the possible errors, the constraints imposed by the task (interaction language) and the ...
[EN] Unplanned hospital readmissions mean a significant burden for health systems. Accurately estimating the patient's readmission risk could help to optimise the discharge decision-making process by smartly ordering ...
[EN] Quality estimation (QE) for machine translation is usually addressed as a regression problem where a learning model is used to predict a quality score from a (usually highly-redundant) set of features that represent ...
Segura Maroto, Marina; Maroto Álvarez, Mª Concepción; Ginestar Peiro, Concepción de María; Navarro Cerdán, José Ramón; Martón Lluch, Isabel(Editorial Universitat Politècnica de València, 2019-09-30)
[EN] Emerging technologies and mobile platforms allow the introduction of new
teaching and learning strategies, in particular new ways to implement games
in higher education. Kahoot! is a free platform, which can be used ...
We present a new technique to estimate the reliability of the words in automatically generated translations. Our approach addresses confidence estimation as a classification problem where a confidence score is to be predicted ...
Segura Maroto, Marina; Maroto Álvarez, Mª Concepción; Ginestar Peiro, Concepción de María; Navarro Cerdán, José Ramón(Editorial Universitat Politècnica de València, 2018-09-26)
[EN] The increasing supply of videos as an online resource has changed the performance of students who study degrees based on face-to-face learning. The objectives of this paper are to elicit current preferences for ...
Navarro Cerdán, José Ramón(Universitat Politècnica de València, 2018-07-03)
Caso práctico sobre cómo resolver modelos programación multiobjetivo no lineal con Excel mediante el uso del complemento Solver. Se muestra como ejemplo la implementación del modelo de Markowitz para la composición eficiente ...
[EN] This paper describes an ensemble feature identification algorithm called SEQENS, and measures its capability to identify the relevant variables in a case-control study using a genetic expression microarray dataset. ...
García Esquerdo, Joan(Universitat Politècnica de València, 2020-10-13)
[ES] Los modelos pre-entrenados en inmensos conjuntos de datos constituyen el estado del arte en el procesamiento del lenguaje natural. Mediante un proceso de Transfer Learning estos modelos pueden ser afinados para usarse ...