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Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

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Publications associées à Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI | EPFL Graph Search

Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

Graph Chatbot

Chattez avec Graph Search

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Distributional Regression and Autoregression via Optimal Transport

Random matrix methods for high-dimensional machine learning models

Iron-carbohydrate complexes treating iron anaemia: Understanding the nano-structure and interactions with proteins through orthogonal characterisation

Intraday solar irradiance forecasting using public cameras

On distributional autoregression and iterated transportation

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

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Acute TNF alpha levels predict cognitive impairment 6-9 months after COVID-19 infection

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Distributional Regression and Autoregression via Optimal Transport