Hi!
I am a mathematician and computer scientist working as Machine Learning Engineer at Idoven. Here are some places where you can find me:
I am a mathematician and computer scientist working as Machine Learning Engineer at Idoven. Here are some places where you can find me:
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges
Julián Luengo,
Raúl Moreno,
Iván Sevillano García,
David Charte,
et al.
Information Fusion.
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect
Jose Daniel Pascual Triana,
David Charte,
Marta Andrés Arroyo,
Alberto Fernández,
Francisco Herrera.
Knowledge and Information Systems.
Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study
David Charte,
Iván Sevillano García,
María Jesús Lucena González,
et al.
International Conference on Hybrid Artificial Intelligence Systems.
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions
David Charte,
Francisco Charte,
Francisco Herrera.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
Reconocimiento y clasificación de imágenes con Deep Learning
Aplicaciones de Inteligencia Artificial y Machine Learning en pequeños negocios
5 aplicaciones prácticas inesperadas de la Inteligencia Artificial
Curso Math-ML: Álgebra lineal y reducción de la dimensionalidad
Máster online en Machine Learning y Ciencia de Datos con Python y R
Docencia: Modelos de Computación
Docencia: Estructuras de datos
Autoencoders: Representation learning y aplicaciones prácticas