Ignacio Peis
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Deep Sequential Models for Suicidal Ideation from Multiple Source Data
I Peis, PM Olmos, C Vera-Varela, ML Barrigon, P Courtet, E Baca-Garcia, ...
IEEE Journal of Biomedical and Health Informatics, 2019
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
I Peis, C Ma, JM Hernández-Lobato
Advances in Neural Information Processing Systems 35, 35839--35851, 2022
Actigraphic recording of motor activity in depressed inpatients: a novel computational approach to prediction of clinical course and hospital discharge
I Peis, JD López-Moríñigo, MM Pérez-Rodríguez, ML Barrigón, ...
Scientific reports 10 (1), 17286, 2020
Unsupervised learning of global factors in deep generative models
I Peis, PM Olmos, A Artés-Rodríguez
Pattern Recognition 134, 109130, 2023
MRI brain segmentation using hidden Markov random fields with alpha-stable distributions
I Peis, IA Illán, FJ Martínez-Murcia, F Segovia, JM Górriz, J Ramírez, ...
2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room …, 2016
A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI
D Castillo-Barnes, I Peis, FJ Martínez-Murcia, F Segovia, IA Illán, ...
Frontiers in Neuroinformatics 11, 66, 2017
Variational Mixture of HyperGenerators for Learning Distributions Over Functions
B Koyuncu, P Sanchez-Martin, I Peis, PM Olmos, I Valera
arXiv preprint arXiv:2302.06223, 2023
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