Author

E Güell Penas

ORCID 0000-0001-6750-1748Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andreu Vives PerellóiD· 1 shared Marina Esquerrà Parés· 1 shared Mikaela Mladenova Koleva· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperGenetics

Andreu Vives PerellóORCID

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintNov 16, 2022

Aneuploid embryos as a proposal for improving Artificial Intelligence performance

E Güell Penas, Marina Esquerrà Parés, Andreu Vives Perelló, Mikaela Mladenova Koleva

This study shows that using aneuploid embryos improves Machine Learning performance for predicting embryo viability compared to non-implanted embryos.

DOI 10.1101/2022.11.16.516774

humanmachine learning (classical)

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