Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 301-320 de 568
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De la Información al Conocimiento. Aplicaciones basadas en implicaciones y computación paralela.
(UMA Editorial, 2018-11-30)La gestión de la información es uno de los pilares esenciales de la Ingeniería Informática. Esta tesis doctoral toma como principal base teórica el Análisis Formal de Conceptos (FCA, por sus siglas en inglés: Formal ... -
La práctica de la responsabilidad social empresarial en el sector turístico. Estudio de casos en empresas turísticas hoteleras de la ciudad de Santa Marta, Colombia.
(UMA Editorial, 2018-01-18)El presente trabajo tiene como fin identificar, diagnosticar y evaluar las prácticas de RSE de ocho establecimientos hoteleros de diferente tamaño de la ciudad de Santa Marta, Colombia y realizar la correspondiente ... -
Learning Bayesian Networks for Student Modeling
Millan-Valldeperas, Eva
; Belmonte-Martinez, Maria Victoria; Jiménez, Guiomar; Perez-de-la-Cruz-Molina, Jose Luis (2015-07-03)
In the last decade, there has been a growing interest in using Bayesian Networks (BN) in the student modelling problem. This increased interest is probably due to the fact that BNs provide a sound methodology for this ... -
Lenguajes de dominio específico
(2019-11-21)En esta charla introduce el concepto de Lenguaje Específico de Dominio (Domain-Specific Language; DSL). El objetivo es motivar la utilidad de los DSLs como mecanismo para poder elevar el nivel de abstracción en el desarrollo ... -
LinTraP: Primitive Operators for the Execution of Model Transformations with LinTra
Burgueño-Caballero, Lola; Syriani, Eugene; Wimmer, Manuel; Gray, Jeff; Vallecillo-Moreno, Antonio Jesus (2014-07-31)
The problems addressed by Model-Driven Engineering (MDE) approaches are increasingly complex, hence performance and scalability of model transformations are gaining importance. In previous work, we introduced LinTra, which ... -
Local Optima Network Analysis for MAX-SAT
Ochoa, Gabriela; Chicano, Francisco (2019-07-22)
Local Optima Networks (LONs) are a valuable tool to understand fitness landscapes of optimization problems observed from the perspective of a search algorithm. Local optima of the optimization problem are linked by an edge ... -
Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance
Chicano, Francisco; Daolio, Fabio; Ochoa, Gabriela; Vérel, Sébastien; Tomassini, Marco; Alba-Torres, Enrique[et al.] (2014-10-06)
Recent developments in fitness landscape analysis include the study of Local Optima Networks (LON) and applications of the Elementary Landscapes theory. This paper represents a first step at combining these two tools to ... -
Longitudinal study of the learning styles evolution in Engineering degrees
Molina-Cabello, Miguel Angel; Thurnhofer-Hemsi, Karl; Domínguez, Enrique; López-Rubio, Ezequiel; Palomo, Esteban José (2021)
A learning style describes what are the predominant skills for learning tasks. In the context of university education, knowing the learning styles of the students constitutes a great opportunity to improve both teaching ... -
Low Disruption Transformations on Cyclic Automata
Martín Reyes, Gema María; Vico-Vela, Francisco Jose; Dassow, Jürgen (IOS Press, 2010)
We extend the edit operators of substitution, deletion, and insertion of a symbol over a word by introducing two new operators (partial copy and partial elimination) inspired by biological gene duplication. We define a ... -
LTMaker: a tool for semiautomatic reconstruction of the embryonic lineage tree from 4D-microscopy
Vico-Vela, Francisco Jose; Lobo Fernández, Daniel; Gómez, Antonio; Burrezo García, Salvador; Fernández Rodríguez, José David; Duloquin, L.; Maury, B.; Peyrieras, Nadine[et al.] (2013-12-03)
Studies of animal development using a 4Dmicroscopy system generate an immense amount of image data. In order to properly analyze the recorded embryogenesis, a computer-aided systematic process of categorization of ... -
Machine and Human Observable Differences in Groups’ Collaborative Problem-Solving Behaviours
Cukurova, Mutlu; Luckin, Rose; Mavrikis, Manolis; Millan-Valldeperas, Eva (2019-10-18)
This paper contributes to our understanding of how to design learning analytics to capture and analyse collaborative problem-solving (CPS) in practice-based learning activities. Most research in learning analytics focuses ... -
Machine learning models to search relevant genetic signatures in clinical context
Urda, Daniel; Luque-Baena, Rafael Marcos; Franco, Leonardo; Sánchez-Maroño, Noelia; Jerez-Aragonés, José Manuel (2017-06-26)
Clinicians are interested in the estimation of robust and relevant genetic signatures from gene sequencing data. Many machine learning approaches have been proposed trying to address well-known issues of this complex ... -
Managing Uncertain Complex Events in Web of Things Applications
Moreno, Nathalie; Fernández-Bertoa, Manuel; Barquero Moreno, Gala; Burgueño-Caballero, Lola; Troya-Castilla, Javier; García-López, Adrián; Vallecillo-Moreno, Antonio Jesus[et al.] (2018-05-31)
A critical issue in the Web of Things (WoT) is the need to process and analyze the interactions of Web-interconnected real-world objects. Complex Event Processing (CEP) is a powerful technology for analyzing streams of ... -
Marco de trabajo para la generación de software para la gestión de sistemas de energía solar
(Servicio de Publicaciones y Divulgación Científica, 2015)El auge que están alcanzando los sectores relacionados con la gestión de sistemas energéticos y en especial, los relacionados con las energías renovables, están propiciando la necesidad de disponer de mecanismos para la ... -
Máster INFTEL: Transición de la universidad a la empresa en el campo de las comunicaciones móviles
Morales-Bueno, Rafael; Cantalejo-Garcia, Francisco; Morales-Becerra, Carlos R.; Araujo-Yaselli, Marian (2014-07-22)
Las actividades de los estudiantes en la universidad tienen características claramente diferentes a las actividades en una empresa. Al pasar el estudiante de un lugar al otro necesita un periodo de adaptación. Reducir ese ... -
Math Oracles: A New Way of Designing Efficient Self-Adaptive Algorithms
Luque-Polo, Gabriel Jesús; Alba-Torres, Enrique (ACM Press, 2013)
In this paper we present a new general methodology to develop self-adaptive methods at a low computational cost. Instead of going purely ad-hoc we de ne several simple steps to include theoretical models as additional ... -
Measuring Procedural Knowledge in Problem Solving Environments with Item Response Theory
Hernando, Manuel; Guzman-de-los-Riscos, Eduardo Francisco; Conejo-Muñoz, Ricardo Jose (Springer, 2013)
In this paper, a new data-driven model to measure procedural knowledge is described. The model is based on Item Response Theory. The main idea behind this new model is to establish an analogy between the testing and the ... -
Measuring the Quality of Machine Learning and Optimization Frameworks
Software frameworks are daily and extensively used in research, both for fundamental studies and applications. Researchers usually trust in the quality of these frameworks without any evidence that they are correctly build, ... -
Mecanismos de reconfiguración eco-eficiente de código en aplicaciones móviles Android
Los dispositivos móviles ofrecen cada vez mayores prestaciones a costa de un mayor consumo energético. La energía consumida por un móvil no sólo depende de las aplicaciones en sí, sino también de las interacciones del ...