Listar Departamento de Informática y Análisis Numérico por título
Mostrando ítems 114-133 de 254
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Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
(Elsevier, 2024)The process of extracting valuable and novel insights from raw data involves a series of complex steps. In the realm of Automated Machine Learning (AutoML), a significant research focus is on automating aspects of this ... -
Graph-Based Feature Selection Approach for Molecular Activity Prediction
(ACS, 2022)In the construction of QSAR models for the prediction of molecular activity, feature selection is a common task aimed at improving the results and understanding of the problem. The selection of features allows elimination ... -
Graph-Based Feature Selection Approach for Molecular Activity Prediction
(American Chemical Society, 2022)In the construction of QSAR models for the prediction of molecular activity, feature selection is a common task aimed at improving the results and understanding of the problem. The selection of features allows elimination ... -
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
(Elsevier, 2020)The wide availability of specific courses together with the flexibility of academic plans in university studies reveal the importance of Recommendation Systems (RSs) in this area. These systems appear as tools that help ... -
Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA!
(Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2006)En este artículo presentamos Test Editor, una herramienta autor para la construcción de test informatizados, tanto clásicos como adaptativos, a través del Web. Esta herramienta facilita el desarrollo y mantenimiento de ... -
Higher education institutions to promote a lifelong learning strategy
(IATED, 2019)In today’s society students and graduates are demanded to be equipped with two fundamental attitudes. The first is being active learners enrolled in all different activities related to Active Learning that have place at ... -
Human interaction categorization by using audio-visual cues
(Springer Nature, 2013)Human Interaction Recognition (HIR) in uncontrolled TV video material is a very challenging problem because of the huge intra-class variability of the classes (due to large differences in the way actions are performed, ... -
Hybridization of evolutionary algorithms and local search by means of a clustering method
(IEEE, 2006)This paper presents a hybrid evolutionary algorithm (EA) to solve nonlinear-regression problems. Although EAs have proven their ability to explore large search spaces, they are comparatively inefficient in fine tuning the ... -
Implantando métodos y técnicas profesionales en la enseñanza práctica. Aprendiendo por simulación
(Consejo Social de la Universidad de Córdoba, 2010) -
Improvement of small wind turbine control in the transition region
(MDPI, 2020)Wind energy conversion systems are very challenging from the control system viewpoint. The control difficulties are even more challenging when wind turbines are able to operate at variable speed and variable pitch. The ... -
Improving multiclass pattern recognition by the combination of two strategies
(IEEE, 2006)We present a new method of multiclass classification based on the combination of one- vs- all method and a modification of one- vs- one method. This combination of one- vs- all and one- vs- one methods proposed enforces ... -
Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
(Springer, 2021)The aim of this study was to predict university students’ learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 ... -
Improving spiking neural network performance with auxiliary learning
(MDPI, 2023)The use of back propagation through the time learning rule enabled the supervised training of deep spiking neural networks to process temporal neuromorphic data. However, their performance is still below non-spiking neural ... -
Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach
(Wiley, 2021)This paper presents an approach based on emerging pattern mining to analyse cancer through genomic data. Unlike existing approaches, mainly focused on predictive purposes, the proposal aims to improve the understanding of ... -
Influence of Spinal Movements Associated with Physical Evaluation on Muscle Mechanical Properties of the Lumbar Paraspinal in Subjects with Acute Low Back Pain
(MDPI, 2022)This research aimed to identify changes in muscle mechanical properties (MMPs) when a standardized sequence of movements is performed and to determine the influence of acute low back pain (LBP) and age on the MMPs. ... -
Instance selection for multi-label learning based on a scalable evolutionary algorithm
(IEEE, 2021)Multi-label classification has recently attracted greater research interest as a data mining task. Many current ap- plications in data mining address problems having instances that belong to more than one class, which ... -
Integración de la aplicación informática Fonética 2.0 Sistema de composición y generación dinámica de animaciones en la docencia
(Consejo Social de la Universidad de Córdoba, 2010) -
Interactive multi-objective evolutionary optimization of software architectures
(Elsevier, 2018)While working on a software specification, designers usually need to evaluate different architectural alternatives to be sure that quality criteria are met. Even when these quality aspects could be expressed in terms of ... -
Internet of things. Soluciones pervasivas basadas en geolocalización y Near Filed Communication: education, turismo y publicidad
(Universidad de Córdoba, UCOPress, 2015)En la actualidad, muchos sistemas de información basan una parte importante de su funcionalidad en el intercambio de datos y servicios, implicando de forma directa o indirecta a diferentes tipos de objetos físicos. A medida ... -
Intérprete y depurador gráfico de pseudocódigo español para sistema operativo Linux
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2004)A pseudo code interpreter in Spanish has been developed in order to the students can learn the basic concepts of programming by means of running their own algorithms. This interpreter works on Linux operative system, which ...