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Geleta M. Unsupervised learning with applications in genomic. Mas-Montserrat D, Ioannidis AG, Giró-i-Nieto X. 2021.
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Oriol B. Species-agnostic Local Ancestry Inference on Genomic Data with Convolutions. Mas-Montserrat D, Ioannidis AG, Giró-i-Nieto X. 2021.
Bernal O, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. SALAI-Net: species-agnostic local ancestry inference network. Bioinformatics. 2022;38.
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Bartusiak E, Barrabés M, Rymbe A, Gimbernat J, López C, Barberis L, et al.. Predicting Dog Phenotypes from Genotypes. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.
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Dominguez A, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Neural ADMIXTURE: rapid population clustering with autoencoders. In 2021 Society for Molecular Biology & Evolution meeting (SMBEv2021). Virtual; 2021.  (1.76 MB)
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Barrabés M. Machine Learning for Genomic Sequence Processing. Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. 2022 .
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Mas-Montserrat D, Perera M, Barrabés M, Geleta M, Giró-i-Nieto X, Ioannidis AG. Generative Moment Matching Networks for Genotype Simulation. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.
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Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.
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Perera M. Ancestry-conditioned Generative Models for Genotyping. Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. 2022 .