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Federico Amato

Showing results (1-10 of 5) with videos related to

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Scientific Reports|December 18, 2020
A novel framework for spatio-temporal prediction of environmental data using deep learningFederico Amato, Fabian Guignard, Sylvain Robert, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal|September 14, 2022
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potentialFederico Amato, Fabian Guignard, Alina Walch, et al.
Studies in Health Technology and Informatics|May 23, 2026
Evaluating Differentially Private Synthetic Data for Multi-Site Clinical Research: A Case Study from 5 Swiss University HospitalsBayrem Kaabachi, Jeremie Despraz, Jean Regina, et al.
Clinical and Translational Science|September 2, 2024
Explainable machine learning prediction of edema adverse events in patients treated with tepotinibFederico Amato, Rainer Strotmann, Roberto Castello, et al.
CPT: Pharmacometrics & Systems Pharmacology|June 17, 2023
Modeling tumor size dynamics based on real-world electronic health records and image data in advanced melanoma patients receiving immunotherapyPerrine Courlet, Daniel Abler, Monia Guidi, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|December 18, 2020
A novel framework for spatio-temporal prediction of environmental data using deep learningFederico Amato, Fabian Guignard, Sylvain Robert, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal|September 14, 2022
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potentialFederico Amato, Fabian Guignard, Alina Walch, et al.
Studies in Health Technology and Informatics|May 23, 2026
Evaluating Differentially Private Synthetic Data for Multi-Site Clinical Research: A Case Study from 5 Swiss University HospitalsBayrem Kaabachi, Jeremie Despraz, Jean Regina, et al.
Clinical and Translational Science|September 2, 2024
Explainable machine learning prediction of edema adverse events in patients treated with tepotinibFederico Amato, Rainer Strotmann, Roberto Castello, et al.
CPT: Pharmacometrics & Systems Pharmacology|June 17, 2023
Modeling tumor size dynamics based on real-world electronic health records and image data in advanced melanoma patients receiving immunotherapyPerrine Courlet, Daniel Abler, Monia Guidi, et al.
Pageof 1