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).
mldr. resampling: Efficient reference implementations of multilabel resampling algorithms AJ Rivera, MA Dávila, D Elizondo, MJ del Jesus, F Charte Neurocomputing 559, 126806 , 2023 2023 Citations: 4
DISEÑO DE ALGORITMOS DE REMUESTREO MULTI-ETIQUETA CON MODELOS GENERATIVOS PROFUNDOS MÁ DÁVILA ROMERO 2023
MOST CITED SCHOLAR PUBLICATIONS
mldr. resampling: Efficient reference implementations of multilabel resampling algorithms AJ Rivera, MA Dávila, D Elizondo, MJ del Jesus, F Charte Neurocomputing 559, 126806 , 2023 2023 Citations: 4
DISEÑO DE ALGORITMOS DE REMUESTREO MULTI-ETIQUETA CON MODELOS GENERATIVOS PROFUNDOS MÁ DÁVILA ROMERO 2023
