Class-Conditional VAE-GAN for Local-Ancestry Simulation. - Daniel Mas Montserrat; Carlos D. Bustamante; Alexander G. Ioannidis (CoRR, 2019)

Lai-Net: Local-Ancestry Inference with Neural Networks. - Daniel Mas Montserrat; Carlos D. Bustamante; Alexander G. Ioannidis (ICASSP, 2020)

Discovering prescription patterns in pediatric acute-onset neuropsychiatric syndrome patients. - Arturo López Pineda; Armin Pourshafeie; Alexander G. Ioannidis; Collin McCloskey Leibold; Avis L. Chan; Carlos D. Bustamante; Jennifer Frankovich; Genevieve L. Wojcik (J. Biomed. Informatics, 2021)

Predicting Dog Phenotypes from Genotypes. - Emily R. Bartusiak; Míriam Barrabés; Aigerim Rymbekova; Julia Gimbernat-Mayol; Cayetana López; Lorenzo Barberis; Daniel Mas Montserrat; Xavier Giró-i-Nieto; Alexander G. Ioannidis (EMBC, 2022)

Generative Moment Matching Networks for Genotype Simulation. - Maria Perera; Daniel Mas Montserrat; Míriam Barrabés; Margarita Geleta; Xavier Giró-i-Nieto; Alexander G. Ioannidis (EMBC, 2022)

SALAI-Net: species-agnostic local ancestry inference network. - Benet Oriol Sabat; Daniel Mas Montserrat; Xavier Giró-i-Nieto; Alexander G. Ioannidis (Bioinform., 2022)

Archetypal Analysis for population genetics. - Julia Gimbernat-Mayol; Albert Dominguez Mantes; Carlos D. Bustamante; Daniel Mas Montserrat; Alexander G. Ioannidis (PLoS Comput. Biol., 2022)

Genomic Databases Homogenization with Machine Learning. - Míriam Barrabés; David Bonet; Víctor Novelle Moriano; Xavier Giró-i-Nieto; Daniel Mas Montserrat; Alexander G. Ioannidis (BIBM, 2023)

Assessing Tree-Based Phenotype Prediction on the UK Biobank. - Alex Meléndez; Cayetana López; David Bonet; Gerard Sant; Daniel Mas Montserrat; Jordi Abante; Manuel Rivas; Ferran Marqués; Alexander G. Ioannidis (BIBM, 2023)

Adversarial Attacks on Genotype Sequences. - Daniel Mas Montserrat; Alexander G. Ioannidis (ICASSP, 2023)

Adversarial Learning for Feature Shift Detection and Correction. - Míriam Barrabés; Daniel Mas Montserrat; Margarita Geleta; Xavier Giró-i-Nieto; Alexander G. Ioannidis (NeurIPS, 2023)

Neural ADMIXTURE for rapid genomic clustering. - Albert Dominguez Mantes; Daniel Mas Montserrat; Carlos D. Bustamante; Xavier Giró-i-Nieto; Alexander G. Ioannidis (Nat. Comput. Sci., 2023)

HyperFast: Instant Classification for Tabular Data. - David Bonet; Daniel Mas Montserrat; Xavier Giró-i-Nieto; Alexander G. Ioannidis (AAAI, 2024)

Advances in Biomedical Missing Data Imputation: A Survey. - Míriam Barrabés; Maria Perera; Víctor Novelle Moriano; Xavier Giró-i-Nieto; Daniel Mas Montserrat; Alexander G. Ioannidis (IEEE Access, 2025)

Feature Shift Localization Network. - Míriam Barrabés; Daniel Mas Montserrat; Kapal Dev; Alexander G. Ioannidis (CoRR, 2025)