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ML-k’sNN: Label Dependent k Values for Multi-Label k-Nearest Neighbor Rule
(MDPI, 2023)
Multi-label classification as a data mining task has recently attracted increasing interest from researchers. Many current data mining applications address problems with instances that belong to more than one category. ...
sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints
(MDPI, 2023)
Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving ...
Desarrollo y aplicación de nuevos modelos de aprendizaje automático para el estudio del cáncer colorrectal
(Universidad de Córdoba, UCOPress, 2023)
En la actualidad, en el ámbito sanitario, hay un interés creciente en la consideración de técnicas de Inteligencia Artificial, en concreto técnicas de Aprendizaje Automático o Machine Learning, que tan buenos resultados ...
Unimodal regularisation based on beta distribution for deep ordinal regression
(Elsevier, 2022)
Currently, the use of deep learning for solving ordinal classification problems, where categories follow a natural order, has not received much attention. In this paper, we propose an unimodal regularisation based on the ...
Técnicas de clasificación para la predicción de tarifas aéreas
(Universidad de Córdoba, UCOPress, 2023)
Esta memoria de tesis se enfoca en los problemas multifactoriales a los que se enfrentan las aerolíneas comerciales como son la guerra de precios y la creación de una tabla dinámica de descuentos. Por un lado, dentro de ...
Optimización de algoritmos científicos en sistemas heterogéneos y aceleradores para computación de altas prestaciones
(Universidad de Córdoba, UCOPress, 2023)
Actualmente, la computación de propósito general en GPU es uno de los pilares básicos
de la computación de alto rendimiento. Aunque existen cientos de aplicaciones
aceleradas en GPU, aún hay algoritmos científicos poco ...
Determining the Difficulties of Students With Dyslexia via Virtual Reality and Artificial Intelligence: An Exploratory Analysis
(IEEE, 2022)
Learning disorders are neurological conditions that affect the brain’s ability to interconnect communication areas. Dyslexic students experience problems with reading, memorizing, and exposing concepts; however the magnitude ...
Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules
(IEEE, 2022)
Homelessness is a social and health problem with great repercussions in Europe. Many non-governmental organisations help homeless people by collecting and analysing large amounts of information about them. However, these ...
Training program on sign language: social inclusion through Virtual Reality in ISENSE project
(IEEE, 2023)
Structured hand gestures that incorporate visual
motions and signs are used in sign language. Sign language is
a valuable means of daily communication for individuals who
are deaf or have speech impairments, but it is ...
Jewelry Recognition via Encoder-Decoder Models
(IEEE, 2023)
Jewelry recognition is a complex task due to the
different styles and designs of accessories. Precise descriptions
of the various accessories is something that today can only be
achieved by experts in the field of ...