Publications associées à Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows

Publications associées (9)

New York, Abu Dhabi, London, or stay at home? Using a cross-nested logit model to identify complex substitution patterns in migration

We propose a cross-nested logit (CNL) approach to investigate how individuals adjust their migration decisions in response to changes in the global landscape. In contrast to the widely used logit model, the CNL enables more intricate substitution patterns ...

OXFORD UNIV PRESS2025

The Earthquake Risk Model of Switzerland, ERM-CH23

Pierino Lestuzzi, Alireza Khodaverdian

Understanding seismic risk at both the national and sub-national level is essential for devising effective strategies and interventions aimed at its mitigation. The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination ...

COPERNICUS GESELLSCHAFT MBH2024

Iterative removal of sources to model the turbulent electromotive force

Salim Bennouna, Abhijit Bhausaheb Bendre

We describe a novel method to compute the components of dynamo tensors from direct magnetohydrodynamic (MHD) simulations. Our method relies upon an extension and generalization of the standard H & ouml;gbom CLEAN algorithm widely used in radio astronomy to ...

Oxford Univ Press2024

Prediction of plasma volume and total hemoglobin mass with machine learning

Jean-Marc Vesin

Hemoglobin concentration ([Hb]) is used for the clinical diagnosis of anemia, and in sports as a marker of blood doping. [Hb] is however subject to significant variations mainly due to shifts in plasma volume (PV). This study proposes a newly developed mod ...

WILEY2023

Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Shen Yang, Xianlin Wang

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method thr ...

2021

A machine-learning algorithm correctly classifies cortical evoked potentials from both visual stimulation and electrical stimulation of the optic nerve

Diego Ghezzi, Eleonora Borda, Vivien Gaillet, Elodie Geneviève Zollinger

Objective. Optic nerve's intraneural stimulation is an emerging neuroprosthetic approach to provide artificial vision to totally blind patients. An open question is the possibility to evoke individual non-overlapping phosphenes via selective intraneural op ...

IOP PUBLISHING LTD2021

Asymptotic learning curves of kernel methods: empirical data versus teacher-student paradigm

Matthieu Wyart, Mario Geiger, Stefano Spigler

How many training data are needed to learn a supervised task? It is often observed that the generalization error decreases as n(-beta) where n is the number of training examples and beta is an exponent that depends on both data and algorithm. In this work ...

IOP PUBLISHING LTD2020

Detecting Flying Objects using a Single Moving Camera

Pascal Fua, Vincent Lepetit, Artem Rozantsev

We propose an approach for detecting flying objects such as Unmanned Aerial Vehicles (UAVs) and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and are filmed by a camera that itself moves. We a ...

2017

Distributed Compressed Representation of Correlated Image Sets

Vijayaraghavan Thirumalai

Vision sensor networks and video cameras find widespread usage in several applications that rely on effective representation of scenes or analysis of 3D information. These systems usually acquire multiple images of the same 3D scene from different viewpoin ...

EPFL2012