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Mostrando ítems 201-210 de 249
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 ...
Extracción de conocimiento útil en biomedicina mediante técnicas de minería de patrones
(Universidad de Córdoba, UCOPress, 2023)
The detection of common and unique characteristics of cancer patients is one of the main focuses of current research which aims to develop personalized therapies against the disease.
However, while many of the current ...
Diseño y análisis de redes neuronales convolucionales ordinales: aplicaciones
(Universidad de Córdoba, UCOPress, 2023)
En los últimos años, se están utilizando técnicas de aprendizaje profundo para mejorar diferentes procesos y resolver diferentes tareas del mundo real. El crecimiento exponencial del volumen de información generada por ...
UCO physical rehabilitation: new dataset and study of human pose estimation methods on physical rehabilitation exercises
(MDPI, 2023)
Physical rehabilitation plays a crucial role in restoring motor function following injuries or surgeries. However, the challenge of overcrowded waiting lists often hampers doctors’ ability to monitor patients’ recovery ...
Nuevos métodos para clustering basado en algoritmos evolutivos
(Universidad de Córdoba, UCOPress, 2023)
La presente tesis doctoral aborda el estudio de la solución del problema de agrupamiento. La solución a este problema busca dividir un conjunto de datos en grupos, donde los elementos dentro de cada grupo sean similares ...
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation
(Elsevier, 2019)
This paper proposes new methods based on time series segmentation, including the adaptation of the particle swarm optimisation algorithm (PSO) to this problem, and more advanced PSO versions, such as barebones PSO (BBPSO) ...
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 ...
A new approach for optimal time-series segmentation
(Elsevier, 2020)
This paper proposes a new optimal approach, called OSTS, to improve the segmentation of time series. The proposed method is based on A* algorithm and it uses an improved version of the well-known Salotti method for obtaining ...
Optimal online time-series segmentation
(Springer, 2024)
When time series are processed, the difficulty increases with the size of the series. This fact is aggravated when time series are processed online, since their size increases indefinitely. Therefore, reducing their number ...
A general framework for boosting feature subset selection algorithms
(Elsevier, 2018)
Feature selection is one of the most important tasks in many machine learning and data mining problems. Due to the increasing size of the problems, removing useless, erroneous or noisy features is frequently an initial ...