Publications related to Analysis and prediction of TBM performance in blocky rock conditions at the Lotschberg Base Tunnel

Distributional Regression and Autoregression via Optimal Transport

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

Ali Falsafi, Shekoofeh Yaghmaei

This research aimed to evaluate the clinical features and computed tomography (CT) scans associated with poor outcomes in COVID-19 patients with acute kidney injury (AKI). A total of 351 COVID-19 patients (100 AKI, 251 non-AKI) hospitalized at Imam Hossein ...

IRANIAN SOC NEPHROLGY2023

Distribution-on-distribution regression via optimal transport maps

Victor Panaretos, Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact interval. Our regression model is based on the theory of optimal transportation, and links the conditional Frechet mean of the resp ...

OXFORD UNIV PRESS2022

Learning Finance with Games: An Empirical Study

Sandy Ingram, Rania Islambouli

This paper presents an empirical case study on applying game-based learning in an undergraduate finance course. The paper describes the experimental study context, protocol, and results. Using multivariate regression analysis, a significant game effect on ...

IEEE2021

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Giovanni De Micheli, Sandro Carrara, Mandresy Ivan Ny Hanitra, Francesca Criscuolo

One paramount challenge in multi-ion-sensing arises from ion interference that degrades the accuracy of sensor calibration. Machine learning models are here proposed to optimize such multivariate calibration. However, the acquisition of big experimental da ...

2021

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Nikolaos Geroliminis, Emmanouil Barmpounakis

The work proposes a multi-modal regional mean speed regression analysis for the city network of Athens, Greece. The dataset from pNUEMA experiment is used in the present context. Accumulations and mean speeds of different modes are estimated and compared t ...

2021

Numerical investigation on the volute cutwater for pumps running in turbine mode

Elena Vagnoni, Alessandro Morabito

The hydropower sector has recently raised the interest in pump as turbine (PaT) that can be a valid trade-off between capital cost and performance in micro-scale installations. Nevertheless, the modest efficiency of PaTs often restricts their exploitation. ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Functional lagged regression with sparse noisy observations

Victor Panaretos, Tomas Rubin

A functional (lagged) time series regression model involves the regression of scalar response time series on a time series of regressors that consists of a sequence of random functions. In practice, the underlying regressor curve time series are not always ...

WILEY2020

Rock strength properties of granitic rocks in Yosemite Valley, Yosemite National Park, California

Federica Sandrone, Michel Jaboyedoff

Yosemite National Park, located in the central part of California’s Sierra Nevada mountains, is a glacially carved landscape filled with iconic rock formations such as Cathedral Peak, El Capitan, and Half Dome. Igneous rocks, consisting primarily of variat ...

U.S. Geological Survey2020

Load transfer approach for the geotechnical analysis of energy piles in a group with slab

Lyesse Laloui, Elena Ravera, Melis Sütman

Thermally induced group effects characterise closely spaced energy piles. It has been observed experimentally that the behaviour of energy piles subjected to mechanical and thermal loads, in which the piles are located sufficiently close to each other, is ...

EDP SCIENCES2020

Analysis and prediction of TBM performance in blocky rock conditions at the Lotschberg Base Tunnel

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Distributional Regression and Autoregression via Optimal Transport

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

Distribution-on-distribution regression via optimal transport maps

Learning Finance with Games: An Empirical Study

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Numerical investigation on the volute cutwater for pumps running in turbine mode

Functional lagged regression with sparse noisy observations

Rock strength properties of granitic rocks in Yosemite Valley, Yosemite National Park, California

Load transfer approach for the geotechnical analysis of energy piles in a group with slab

Distribution-on-distribution regression via optimal transport maps

Distributional Regression and Autoregression via Optimal Transport

Learning Finance with Games: An Empirical Study

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

Numerical investigation on the volute cutwater for pumps running in turbine mode

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Functional lagged regression with sparse noisy observations

Rock strength properties of granitic rocks in Yosemite Valley, Yosemite National Park, California

Load transfer approach for the geotechnical analysis of energy piles in a group with slab

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models