• Comparing and Tuning Machine Learning Algorithms to Predict Type 2 Diabetes Mellitus 

  Aguilera-Venegas, Gabriel; López-Molina, Amador; Rojo-Martínez, Gemma; Galán-García, José Luis (Elsevier, 2023)

  The main goals of this work are to study and compare machine learning algorithms to predict the development of type 2 diabetes mellitus. Four classification algorithms have been considered, studying and comparing the ...

• Fuzzy relational Galois connections between fuzzy transitive digraphs 

  De-las-Peñas-Cabrera, Inmaculada; Cordero-Ortega, Pablo; Muñoz-Velasco, Emilio Jose; Ojeda-Aciego, Manuel; De Baets, Bernard (Elsevier, 2022-12-28)

  We present a fuzzy version of the notion of relational Galois connection between fuzzy transitive directed graphs (fuzzy T-digraphs) on the specific setting in which the underlying algebra of truth values is a complete ...

• Fuzzy closure structures as formal concepts 

  Ojeda Hernández, Manuel; De-las-Peñas-Cabrera, Inmaculada; Cordero-Ortega, Pablo; Muñoz-Velasco, Emilio Jose (Elsevier, 2022-12-28)

  Galois connections seem to be ubiquitous in mathematics. They have been used to model solutions for both pure and application-oriented problems. Throughout the paper, the general framework is a complete fuzzy lattice over ...

• Statistical structures arising in null submanifolds 

  Meli, Calvin B.; Ngakeu, Ferdinand; Olea-Andrades, Benjamin (Elsevier, 2022-12-22)

  We show a link between affine differential geometry and null submanifolds in a semi-Riemannian manifold via statistical structures. Once a rigging for a null submanifold is fixed, we can construct a semi-Riemannian metric ...

• A non markovian retrial queueing system 

  Atencia-McKillop, Ivan; Galán-García, María Ángeles; Aguilera-Venegas, Gabriel; Galán-García, José Luis (Elsevier, 2023)

  This paper studies a discrete-time queueing system in which a customer who enters in the system with a server occupied may choose to go to the retrial group or to begin its service displacing to the retrial group the ...

• A proposal of a mixed diagnostic system based on decision trees and probabilistic experts rules 

  Aguilera-Venegas, Gabriel; Roanes-Lozano, Eugenio; Rojo-Martínez, Gemma; Galán-García, José Luis (2023)

  Decision trees and rule-based expert systems (RBES) are standard diagnostic tools. We propose a mixed technique that starts with a probabilistic decision tree where information is obtained from a real world data base. The ...

• SODES: Solving ordinary differential equations step by step 

  Galán-García, José Luis; Rodriguez-Cielos, Pedro; Galán-García, María Ángeles; Le Goff, Morgan; Padilla-Dominguez, Yolanda Carmen; Rodriguez-Padilla, Pablo; Atencia-McKillop, Ivan; Aguilera-Venegas, Gabriel[et al.] (Elsevier, 2023)

  In this paper, we introduce SODES (Stepwise Ordinary Differential Equations Solver) a new solver for Ordinary Differential Equations (ODE). SODES can optionally provide the solution displaying all the steps needed to obtain ...

• Lexicon-based sentiment analysis in texts using Formal Concept Analysis 

  Ojeda Hernández, Manuel; Lopez-Rodriguez, Domingo; Mora, Angel (Elsevier, 2023)

  In this paper, we present a novel approach for sentiment analysis that uses Formal Concept Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre-defined lexicons, our approach ...

• The f -index of inclusion as optimal adjoint pair for fuzzy modus ponens 

  Madrid-Labrador, Nicolas Miguel; Ojeda-Aciego, Manuel (Elsevier, 2023)

  We continue studying the properties of the f -index of inclusion and show that, given a fixed pair of fuzzy sets, their f -index of inclusion can be linked to a fuzzy conjunction which is part of an adjoint pair. We also ...

• Scalable method for administration of resource technologies under stochastic procedures 

  Merino-Cordoba, Salvador; Martinez-del-Castillo, Javier; Guzman-Navarro, Francisco; Sanchez-Pacheco, Francisco Jose; Guzman-Sepulveda, Rafael; Sidrach-de-Cardona-Ortin, Mariano; Lara-Fernandez, Juan de Dios[et al.] (Elsevier, 2022-11-09)

  During the development of the S3Unica project (Smart Specialisation University Campus) and its application in the ASSET project (Advanced Systems Studies for Energy Transition), both within the European Commission, the ...

• Lorentzian Metrics Null-Projectively Related to Semi-Riemannian Metrics 

  Olea-Andrades, Benjamin; Palomo-Ruiz, Francisco Jose (Springer Nature, 2022-12-19)

  We say that a Lorentzian metric and a semi-Riemannian metric on the same manifold M are null-projectively related if every null geodesic of the Lorentzian metric is an unparametrized geodesic of the semi-Riemannian one. ...

• Simplification logic for the management of unknown information 

  Pérez-Gámez, Francisco; Cordero-Ortega, Pablo; Enciso-García-Oliveros, Manuel; Mora-Bonilla, Angel (Elsevier, 2023)

  This paper aims to contribute to the extension of classical Formal Concept Analysis (FCA), allowing the management of unknown information. In a preliminary paper, we define a new kind of attribute implications to represent ...

• On the regularity of null cones and geodesic spheres 

  Gutiérrez-López, Manuel; Olea-Andrades, Benjamín (Springer, 2023)

  We show a property on the null cones in a Lorentzian manifold near a conjugate point, which contributes to the understanding of the behaviour of the exponential map. We also give an analogous property in the Riemannian case.

• A Curvature Inequality Characterizing Totally Geodesic Null Hypersurfaces 

  Olea-Andrades, Benjamin (Springer, 2023)

  A well-known application of the Raychaudhuri equation shows that, under geodesic completeness, totally geodesic null hypersurfaces are unique which satisfy that the Ricci curvature is nonnegative in the null direction. ...

• Numerical Methods That Preserve a Lyapunov Function for Ordinary Differential Equations 

  Hernandez-Solano, Yadira; Atencia-Ruiz, Miguel Alejandro (IOAP-MDPI, 2022-12-25)

  The paper studies numerical methods that preserve a Lyapunov function of a dynamical system, i.e., numerical approximations whose energy decreases, just like in the original differential equation. With this aim, a discrete ...

• Prescribing net demand for two-stage electricity generation scheduling 

  Morales-Gonzalez, Juan Miguel; Muñoz, Miguel Ángel; Pineda-Morente, Salvador (Elsevier, 2023)

  We consider a two-stage generation scheduling problem comprising a forward dispatch and a real-time re-dispatch. The former must be conducted facing an uncertain net demand that includes non-dispatchable electricity ...

• A general vertical decomposition of Euler equations: Multilayer-moment models 

  Garres-Díaz, José; Escalante-Sanchez, Cipriano; Morales-de-Luna, Tomas; Castro-Diaz, Manuel Jesus (Elsevier, 2022-09-13)

  In this work, we present a general framework for vertical discretizations of Euler equations. It generalizes the usual moment and multilayer models and allows to obtain a family of multilayer-moment models. It considers a ...

• A high dimensional functional time series approach to evolution outlier detection for grouped smart meters 

  Elias Fernandez, Antonio; Morales-Gonzalez, Juan Miguel; Pineda-Morente, Salvador (Taylor and Francis, 2022-01-01)

  Smart metering infrastructures collect data almost continuously in the form of fine-grained long time series. These massive data series often have common daily patterns that are repeated between similar days or seasons and ...

• Theory and applications of Distributionally Robust Optimization with side data 

  Esteban-Pérez, Adrián (UMA Editorial, 2022)

  Nowadays, a large amount of varied data is being generated which, when made available to the decision maker, constitutes a valuable resource in optimization problems. These data, however, are not free from uncertainty ...

• Prescriptive Analytics in Electricity Markets 

  Muñoz Diaz, Miguel Angel (UMA Editorial, 2022-11-03)

  Decision making is critical for any business to survive in a market environment. Examples of decision making tasks are inventory management, resource allocation or portfolio selection. Optimization, understood as the ...

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