Browsing Departamento de Ciencia de la Computación e Inteligencia Artificial by Title
Now showing items 243-262 of 334
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Parallel evaluation of Pittsburgh rule-based classifiers on GPUs
(2017-01-19)Individuals from Pittsburgh rule-based classifiers represent a complete solution to the classification problem and each individual is a variable-length set of rules. Therefore, these systems usually demand a high level ... -
Parallelization Strategies for Markerless Human Motion Capture
(2015-10-15)Markerless Motion Capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is ... -
Parallelized SLAM: Enhancing Mapping and Localization Through Concurrent Processing
(MDPI, 2025)Simultaneous Localization and Mapping (SLAM) systems face high computational demands, hindering their real-time implementation on low-end computers. An approach to addressing this challenge involves offline processing, ... -
Paravertebral Muscle Mechanical Properties and Spinal Range of Motion in Patients with Acute Neck or Low Back Pain: A Case-Control Study
(MDPI, 2021)Our aims were to identify potential differences in muscle mechanical properties (MMPs) of cervical and lumbar tissues and in spinal range of motion (ROM) between patients with acute low back pain (LBP) or acute neck pain ... -
Paravertebral Muscle Mechanical Properties in Patients with Axial Spondyloarthritis or Low Back Pain: A Case-Control Study
(MDPI, 2021)Different musculoskeletal disorders are a source of pain in the spinal region; most of them can be divided into mechanical, such as low back pain (LBP), or inflammatory origins, as is the case of axial spondyloarthritis ... -
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification
(Elsevier, 2023)Multi-label classification has recently attracted research interest as a data mining task. Many current applications in data mining address problems that have instances belonging to more than one class. This requires the ... -
Partial order label decomposition approaches for melanoma diagnosis
(ACM, 2018)Melanoma is a type of cancer that develops from the pigment-containing cells known as melanocytes. Usually occurring on the skin, early detection and diagnosis is strongly related to survival rates. Melanoma recognition ... -
Partial random under/oversampling for multilabel problems
(Elsevier, 2024)Many current data mining applications address problems with instances that belong to more than one class. The term multilabel classification has been introduced as a way of describing this task. Advantageously using the ... -
Perfil del Productor de Contenidos Periodísticos Digitales y sus herramientas de gestión. Influencia, usabilidad y accesibilidad a nuevas TICs. El caso de Córdoba (España)
(Universidad de Córdoba, Servicio de Publicaciones, 2014)El exponencial avance de las nuevas tecnologías genera una demanda para que modelo de información se adapte a ese ritmo, creándose una metamorfosis desde su producción y transmisión hasta su consumo. [1] Desde la perspectiva ... -
Predicción de indicadores económicos en Ecuador mediante técnicas de programación genética
(Universidad de Córdoba, UCOPress, 2025)En la presente tesis doctoral se desarrolla un modelo predictivo avanzado para estimar la tasa de desempleo en Ecuador aplicando técnicas de Inteligencia Artificial (IA) y Computación Evolutiva (CE). La predicción de la ... -
Predicción de rendimiento académico en aprendizaje combinado mediante datos multimodales y técnicas de fusión y minería de datos
(Universidad de Córdoba, UCOPress, 2022)The main goal of this study is to improve academic performance prediction through the mining of data and data fusion from different modalities, either by the use of learning context or, by the evaluation methodology. The ... -
Predicción del fracaso y abandono escolar mediante técnica de minería de datos
(Universidad de Córdoba, UCOPress, 2015)En esta memoria de tesis se aborda el problema multifactorial del fracaso escolar de los estudiantes. Este problema se presenta en muchas instituciones educativas de todas partes del mundo, especialmente en niveles de ... -
Prediction of convective clouds formation using evolutionary neural computation techniques
(Springer, 2020)The prediction of convective clouds formation is a very important problem in different areas such as agriculture, natural hazards prevention or transport-related facilities. In this paper, we evaluate the capacity of ... -
Prediction of low-visibility events due to fog using ordinal classification
(Elsevier, 2018)The prediction of low-visibility events is very important in many human activities, and crucial in transportation facilities such as airports, where they can cause severe impact in flight scheduling and safety. The design ... -
La preocupación medioambiental como antecedente del Consumo Socialmente Responsable
(Universidad de Córdoba, UCOPress, 2016)Las cuestiones sociales, éticas y medioambientales derivadas de la adquisición de productos y servicios son cada vez más tenidas en cuenta en los comportamientos de compra y consumo. Esto es lo que ha venido a denominarse ... -
Procedimiento de Autentificación de Obras de Arte Digital
(Oficina de Transferencia de Resultados de la Investigación, 2013)La presente invención se refiere a un procedimiento que permite autentificar obras de arte, preferentemente de arte digital, es decir, el que se realiza con dispositivos electrónicos de computación, aunque podría aplicarse ... -
Process mining for self-regulated learning assessment in e-learning
(Springer, 2020)Content assessment has broadly improved in e-learning scenarios in recent decades. However, the eLearning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only ... -
Programa COINCIDENTE: el proyecto MANPREDIC
(Oficina de Transferencia de Resultados de la Investigación, 2019) -
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis
(Elsevier, 2023)Early melanoma diagnosis is the most important factor in the treatment of skin cancer and can effectively reduce mortality rates. Recently, Generative Adversarial Networks have been used to augment data, prevent overfitting ... -
Projection based ensemble learning for ordinal regression
(2013-10-08)The classification of patterns into naturally ordered labels is referred to as ordinal regression. This paper proposes an ensemble methodology specifically adapted to this type of problems, which is based on computing ...