Publications related to Fast screening of covariates in population models empowered by machine learning

EMG-based learning approach for estimating wrist motion

Aude Billard, Silvestro Micera, Sahar El Khoury, Iason Batzianoulis

This paper proposes an EMG based learning approach for estimating the displacement along the 2-axes (abduction/adduction and flexion/extension) of the human wrist in real-time. The algorithm extracts features from the EMG electrodes on the upper and forear ...

2015

Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques

José Pedro Gamito de Saldanha Calado Matos

The development of hydraulic-hydrologic models is a challenge in the case of large catchment areas with scarce or erroneous measurement data and observations. With his study Mr. Dr. José Pedro Matos made several original contributions in order to overcome ...

EPFL - LCH2014

Crop Backscatter Modeling And Soil Moisture Estimation With Support Vector Regression

Jean-Philippe Thiran, Devis Tuia, Maurice Borgeaud, Jelena Stamenkovic

In this paper, we used an improved version of the Tor Vergata radiative transfer model to simulate the backscattering coefficient for the L-band SAR signals over areas covered with vegetation. Fields of winter wheat, maize and sugar beet observed during th ...

Ieee2014

Methodologies for predicting natural frequency variation of a suspension bridge

Ian Smith, Ngoc Thanh Trinh, Irwanda Laory

In vibration-based structural health monitoring, changes in the natural frequency of a structure are used to identify changes in the structural conditions due to damage and deterioration. However, natural frequency values also vary with changes in environm ...

Elsevier2014

Identification of airway bacterial colonization by an electronic nose in Chronic Obstructive Pulmonary Disease

Background: Airway bacterial colonization by potentially pathogenic microorganisms occurs in a proportion of patients with Chronic Obstructive Pulmonary Disease (COPD). It increases airway inflammation and influences outcomes negatively. Yet, its diagnosis ...

Elsevier2014

Micro-Structural Brain Alterations in Aviremic HIV+ Patients with Minor Neurocognitive Disorders: A Multi-Contrast Study at High Field

Tobias Kober, Reto Meuli, Alessandro Daducci, Cristina Granziera, Djalel Eddine Meskaldji, Gunnar Krüger, Alexis Roche, François Lazeyras

Objective Mild neurocognitive disorders (MND) affect a subset of HIV+ patients under effective combination antiretroviral therapy (cART). In this study, we used an innovative multi-contrast magnetic resonance imaging (MRI) approach at high-field to assess ...

Public Library of Science2013

Estimation of Soil Moisture from Airborne Hyperspectral Imagery with Support Vector Regression

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud, Jelena Stamenkovic

In this paper, we propose to estimate soil moisture in bare soils directly from hyperspectral imagery using support vector regression (nu-SVR). nu-SVR is a supervised non-parametric learning technique, e.g. making no assumption on the underlying data distr ...

2013

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Volkan Cevher, Anastasios Kyrillidis

The least absolute shrinkage and selection operator (LASSO) for linear regression exploits the geometric interplay of the

\ell_2

-data error objective and the

\ell_1

-norm constraint to arbitrarily select sparse models. Guiding this uninformed selection ...

IEEE2012

A Wearable Gaze Tracking System for Children in Unconstrained Environments

Aude Billard, Basilio Noris, Jean-Baptiste Keller

We present here a head-mounted gaze tracking system for the study of visual behavior in unconstrained environments. The system is designed both for adults and for infants as young as 1 year of age. The system uses two CCD cameras to record a very wide fiel ...

2011

Explanatory Variables for per Capita Stocks and Flows of Copper and Zinc

Claudia Rebeca Binder Signer

A number of potential explanatory variables for the stocks and flows of copper and zinc in contemporary technological societies are co-analyzed with the tools of exploratory data analysis. A one-year analysis (circa 1994) is performed for 50 countries that ...

Massachusetts Institute of Technology Press2008

Fast screening of covariates in population models empowered by machine learning

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EMG-based learning approach for estimating wrist motion

Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques

Crop Backscatter Modeling And Soil Moisture Estimation With Support Vector Regression

Methodologies for predicting natural frequency variation of a suspension bridge

Identification of airway bacterial colonization by an electronic nose in Chronic Obstructive Pulmonary Disease

Micro-Structural Brain Alterations in Aviremic HIV+ Patients with Minor Neurocognitive Disorders: A Multi-Contrast Study at High Field

Estimation of Soil Moisture from Airborne Hyperspectral Imagery with Support Vector Regression

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

A Wearable Gaze Tracking System for Children in Unconstrained Environments

Explanatory Variables for per Capita Stocks and Flows of Copper and Zinc

Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques

EMG-based learning approach for estimating wrist motion

Micro-Structural Brain Alterations in Aviremic HIV+ Patients with Minor Neurocognitive Disorders: A Multi-Contrast Study at High Field

Crop Backscatter Modeling And Soil Moisture Estimation With Support Vector Regression

Methodologies for predicting natural frequency variation of a suspension bridge

Identification of airway bacterial colonization by an electronic nose in Chronic Obstructive Pulmonary Disease

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

A Wearable Gaze Tracking System for Children in Unconstrained Environments

Estimation of Soil Moisture from Airborne Hyperspectral Imagery with Support Vector Regression

Explanatory Variables for per Capita Stocks and Flows of Copper and Zinc