Publication

An assessment of the Innovation Union Scoreboard as a tool to analyse national innovation capacities: The case of Switzerland

Related publications (26)

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Minimax-fair machine learning minimizes the error for the worst-off group. However, empirical evidence suggests that when sophisticated models are trained with standard empirical risk minimization (ERM), they often have the same performance on the worst-of ...

2023

The Neuron Phenotype Ontology: A FAIR Approach to Proposing and Classifying Neuronal Types

Sean Lewis Hill, Mohameth François Sy

The challenge of defining and cataloging the building blocks of the brain requires a standardized approach to naming neurons and organizing knowledge about their properties. The US Brain Initiative Cell Census Network, Human Cell Atlas, Blue Brain Project, ...

HUMANA PRESS INC2022

Experimental characterisation of textile compaction response: A benchmark exercise

Véronique Michaud, Christophe Lopez, Baris Çaglar

This paper reports the results of an international benchmark exercise on the measurement of fibre bed compaction behaviour. The aim was to identify aspects of the test method critical to obtain reliable results and to arrive at a recommended test procedure ...

2021

Simultaneous decoding of cardiovascular and respiratory functional changes from pig intraneural vagus nerve signals

Silvestro Micera, Ivo Strauss, Simone Romeni

Objective. Bioelectronic medicine is opening new perspectives for the treatment of some major chronic diseases through the physical modulation of autonomic nervous system activity. Being the main peripheral route for electrical signals between central nerv ...

IOP PUBLISHING LTD2021

Optogenetic Interrogation of Circuits Following Neurotrauma

Grégoire Courtine, Steven Lee Ceto

Biological and engineering strategies for neural repair and recovery from neurotrauma continue to emerge at a rapid pace. Until recently, studies of the impact of neurotrauma and repair strategies on the reorganization of the central nervous system have fo ...

FRONTIERS MEDIA SA2021

Electrical spinal cord stimulation protocols to regulate motor and autonomic functions in people with neurological disorders

Robin Jonathan Demesmaeker

Neurological disorders such as spinal cord injury (SCI) massively reduce independence and quality of life. Most often, the majority of the nervous system is still fully or partially spared, but dysfunctional due to aberrant or absent descending input from ...

EPFL2021

Increasing reuse in learning objects authoring: a case study with the Cacuria tool

Roberto Gerson De Albuquerque Azevedo

Artifacts and best practices reuse as a way of improving educational resources and easing and speeding up the authoring process have been an important theme since the earliest research efforts on Learning Objects (LOs). In such a context, authoring tools t ...

ASSOC COMPUTING MACHINERY2019

Procrustes Metrics and Optimal Transport for Covariance Operators

Valentina Masarotto

Covariance operators play a fundamental role in functional data analysis, providing the canonical means to analyse functional variation via the celebrated Karhunen-Loève expansion. These operators may themselves be subject to variation, for instance in con ...

EPFL2019

Using Educational Data From Teaching And Learning To Inform Teachers’ Reflective Educational Design In Inquiry-Based STEM Education

Denis Gillet, Maria Jesus Rodriguez Triana

Science, Technology, Engineering and Mathematics (STEM) education is recognized as a top priority for school education worldwide and Inquiry-based teaching and learning is identified as one of the most dominant approaches. To effectively engage individual ...

2019

The detection of two-component mixture alternatives : Theory and methods

Daria Rukina

In this thesis, we deal with one of the facets of the statistical detection problem. We study a particular type of alternative, the mixture model. We consider testing where the null hypothesis corresponds to the absence of a signal, represented by some kno ...

EPFL2018

Nonlinear dynamic analysis of D-alpha signals for type I edge localized modes characterization on JET with a carbon wall

Gilles Arnoux, Patrick Blanchard, Basil Duval, Ambrogio Fasoli, Yves Martin, Richard Pitts, Olivier Sauter, Henri Weisen, Robin Humphry-Baker, Stefano Coda, Martinus Gijs, Partha Dutta, Marco Wischmeier, Jan Horacek, Andrea Scarabosio, Vlad Trifa, Jonathan Graves, Duccio Testa, Miguel Fernández Ruiz, Sun Hee Kim, Mikhail Maslov, Javier García Hernández, David Pfefferlé, José Pedro Rebelo Ferreira Marques, Pedro Camilo de Oliveira e Silva, Daniel Filipe Dos Santos Alves Jana, Rebecca Hill, Jonnathan Cesar Hidalgo Acosta, Dalziel Joseph Wilson, Pierre-Thomas Paul Brun, Jonathan Marc Philippe Faustin, Federico Nespoli, Joan Decker, Cristian Galperti, Bruno Emanuel Ferreira De Sousa Correia, Antonio José Pereira de Figueiredo, Liang Yao, Thomas Jean F Bauwens, Otto Asunta, Bernhard Sieglin

In this paper, the dynamic characteristics of type-I ELM time-series from the JET tokamak, the world's largest magnetic confinement plasma physics experiment, have been investigated. The dynamic analysis has been focused on the detection of nonlinear struc ...

2018

Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

Patrick Blanchard, Basil Duval, Ambrogio Fasoli, Yves Martin, Richard Pitts, Olivier Sauter, Henri Weisen, Robin Humphry-Baker, Stefano Coda, Martinus Gijs, Partha Dutta, Marco Wischmeier, Jan Horacek, Vlad Trifa, Yann Camenen, Jonathan Graves, Duccio Testa, Miguel Fernández Ruiz, Sun Hee Kim, Mikhail Maslov, Javier García Hernández, David Pfefferlé, José Pedro Rebelo Ferreira Marques, Julio Rodriguez, Pedro Camilo de Oliveira e Silva, Rebecca Hill, Daniel Scott Alessi, Jonnathan Cesar Hidalgo Acosta, Ana Francisca Leal Silva Soares, Dalziel Joseph Wilson, Pierre-Thomas Paul Brun, Jonathan Marc Philippe Faustin, Federico Nespoli, Alberto Hernando de Castro, Hamish William Patten, Bruno Emanuel Ferreira De Sousa Correia, Li Shuai, Nicola Vianello, Antonio José Pereira de Figueiredo, Samuel Lanthaler, Liang Yao, Arnout Lodewijk M Beckers, Cristian Sommariva, Davide Galassi, Alessandro Pau, Yao Zhou, Otto Asunta, Bernhard Sieglin

Detecting disruptions with sufficient anticipation time is essential to undertake any form of remedial strategy, mitigation or avoidance. Traditional predictors based on machine learning techniques can be very performing, if properly optimised, but do not ...

IOP Publishing Ltd2018

Electronic Dura Mater Meddling in the Central Nervous System

Stéphanie Lacour, Grégoire Courtine, Jocelyne Bloch

IMPORTANCE A growing number of neurologic treatments rely on neural implants capable of delivering electrical and chemical stimulation to targeted regions of the central nervous system for extended periods. OBJECTIVE To assess the potential of a novel clas ...

Amer Medical Assoc2017

SENSITIVITY ANALYSIS OF THE HYDROMORPHOLOGICAL INDEX OF DIVERSITY USING NUMERICAL GENERATED DATA

Anton Schleiss, Christopher Robinson, Pierre Bourqui, Severin Stähly

River restoration has become a priority goal in many countries. The interest in rivers as valuable habitats for floral and faunal diversity and as an ecosystem with important functions has increased. For evaluating the structural changes from a river resto ...

2017

Subjective and Objective Evaluation of HDR Video Coding Technologies

Touradj Ebrahimi, Philippe Hanhart, Martin Rerabek

This paper reports the details and results of a subjective and objective quality evaluation assessing responses to an MPEG call for evidence (CfE) on high dynamic range (HDR) and wide color gamut video coding. Five HDR video contents, compressed at four bi ...

Ieee2016

Altitude: architecture et environnement de haute montagne

Estelle Lépine

At the centre of the research is the preservation of the countryside which is highlighted and studied through an architectural approach which focuses on cabins in the high mountains. The projects must reflect upon territorial, global and sustainable aspect ...

EPFL2016

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Stephan Morgenthaler, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, Dimitri Nestor Alice Van De Ville, David Paul Roger Romascano

Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase ...

Elsevier2015

Combining Statistical Evidence

Stephan Morgenthaler, Robert Staudte

The combination of evidence from independent studies has a curious history. The origins reach back at least to the beginning of the 20th century. Since the mid-1970s, meta-analysis has become popular in several fields, among them medical statistics and the ...

Wiley-Blackwell2014

Analysis of Coupled Scalar Systems by Displacement Convexity

Nicolas Macris, Rüdiger Urbanke, Rafah El-Khatib

Potential functionals have been introduced recently as an important tool for the analysis of coupled scalar systems (e.g. density evolution equations). In this contribution we investigate interesting properties of this potential. Using the tool of displace ...

Ieee2014

A real-time comparison between direct control, sequential pattern recognition control and simultaneous pattern recognition control using a Fitts' law style assessment procedure

Sophie Marie Marthe Wurth

Background: Pattern recognition (PR) based strategies for the control of myoelectric upper limb prostheses are generally evaluated through offline classification accuracy, which is an admittedly useful metric, but insufficient to discuss functional perform ...

BioMed Central2014