Miguel Angel Davila Romero

@ujaen.es

SIMIDAT
University of Jaén

https://researchid.co/madavila

Miguel Ángel Dávila is a graduate in Computer Engineering from the University of Jaén. Studied the field of multi-label classification, data imbalance and deep generative models, during two years of collaboration with the Simidat research group from the University of Jaén. Developer and maintainer of the package. He graduated from the Big Data and Advanced Analytics Master's Degree at Comillas Pontifical University (ICAI) and is currently working at the AI startup VotConnect.

EDUCATION

Computer Engineering at University of Jaén.
Big Data and Advanced Analytics Master's Degree at Comillas Pontifical University (ICAI).

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Science, Artificial Intelligence

Scopus Publications

mldr.resampling: Efficient reference implementations of multilabel resampling algorithms
Antonio J. Rivera, Miguel A. Dávila, D. Elizondo, María J. del Jesus, and Francisco Charte
Elsevier BV

RECENT SCHOLAR PUBLICATIONS

mldr. resampling: Efficient reference implementations of multilabel resampling algorithms
AJ Rivera, MA Dvila, D Elizondo, MJ del Jesus, F Charte
Neurocomputing 559, 126806 2023

DISEO DE ALGORITMOS DE REMUESTREO MULTI-ETIQUETA CON MODELOS GENERATIVOS PROFUNDOS
M DVILA ROMERO
2023