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Massih Reza Amini

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Acta Crystallographica. Section A, Foundations and Advances|September 23, 2024
Influence of device configuration and noise on a machine learning predictor for the selection of nanoparticle small-angle X-ray scattering modelsNicolas Monge, Massih Reza Amini, Alexis Deschamps
Acta Crystallographica. Section A, Foundations and Advances|February 29, 2024
Automated selection of nanoparticle models for small-angle X-ray scattering data analysis using machine learningNicolas Monge, Alexis Deschamps, Massih Reza Amini
IEEE Journal of Biomedical and Health Informatics|April 20, 2021
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease EvolutionMichele Bernardini, Luca Romeo, Emanuele Frontoni, et al.
Computers in Biology and Medicine|July 2, 2023
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasetsMichele Bernardini, Anastasiia Doinychko, Luca Romeo, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Acta Crystallographica. Section A, Foundations and Advances|September 23, 2024
Influence of device configuration and noise on a machine learning predictor for the selection of nanoparticle small-angle X-ray scattering modelsNicolas Monge, Massih Reza Amini, Alexis Deschamps
Acta Crystallographica. Section A, Foundations and Advances|February 29, 2024
Automated selection of nanoparticle models for small-angle X-ray scattering data analysis using machine learningNicolas Monge, Alexis Deschamps, Massih Reza Amini
IEEE Journal of Biomedical and Health Informatics|April 20, 2021
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease EvolutionMichele Bernardini, Luca Romeo, Emanuele Frontoni, et al.
Computers in Biology and Medicine|July 2, 2023
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasetsMichele Bernardini, Anastasiia Doinychko, Luca Romeo, et al.
Pageof 1