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Miguel Angel Davila Romero

SIMIDAT · University of Jaén

https://researchid.co/madavila
@ujaen.es
1Scopus Publications
4Google Scholar Citations
1Google Scholar h-index

Biography

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 mldr.resampling 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).

Recent Scopus Publications

  1. mldr.resampling: Efficient reference implementations of multilabel resampling algorithms
    Neurocomputing, 2023

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