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Concept

Condorcet method

Related publications (21)

Computational conceptual design — typological exploration of spatial truss systems through optimization

Corentin Jean Dominique Fivet, Jonas Warmuth

Exploring a wide range of design options is crucial for every sound conceptual design process. In the conventional structural design workflow, optimization techniques are generally employed to generate well-performing design options. However, focusing only ...

International Association for Shell and Spatial Structures (IASS)2023

Incompleteness of graph neural networks for points clouds in three dimensions

Michele Ceriotti, Sergey Pozdnyakov

Graph neural networks (GNN) are very popular methods in machine learning and have been applied very successfully to the prediction of the properties of molecules and materials. First-order GNNs are well known to be incomplete, i.e. there exist graphs that ...

IOP Publishing Ltd2022

The probability of intransitivity in dice and close elections

Jan Hazla

We study the phenomenon of intransitivity in models of dice and voting. First, we follow a recent thread of research for n-sided dice with pairwise ordering induced by the probability, relative to 1/2, that a throw from one die is higher than the other. We ...

2020

Synthesis and chemical transformations of diazolyl alpha,alpha-difluoroacetates

Pavlo Khodakivskyi

Optimized protocols for the synthesis of diazolyl alpha,alpha-difluoroacetates via deoxofluorination of the corresponding glyoxylates with Morph-DAST are described. The method allowed the preparation of the title fluoridated building blocks in 73-96 % yiel ...

ELSEVIER SCIENCE SA2020

Monotonic Prefix Consistency in Distributed Systems

Rachid Guerraoui, Dragos-Adrian Seredinschi, Jad Hamza

We study the issue of data consistency in distributed systems. Specifically, we consider a distributed system that replicates its data at multiple sites, which is prone to partitions, and which is assumed to be available (in the sense that queries are alwa ...

2018

Applications of Approximate Learning and Inference for Probabilistic Models

Young Jun Ko

We develop approximate inference and learning methods for facilitating the use of probabilistic modeling techniques motivated by applications in two different areas. First, we consider the ill-posed inverse problem of recovering an image from an underdeter ...

EPFL2017

Automated Reconstruction of Evolving Curvilinear Tree Structures

Przemyslaw Rafal Glowacki

Curvilinear networks are prevalent in nature and span many different scales, ranging from micron-scale neural structures in the brain to petameter-scale dark-matter arbors binding massive galaxy clusters. Reliably reconstructing them in an automated fashio ...

EPFL2016

How to Benchmark Objective Quality Metrics from Paired Comparison Data?

Touradj Ebrahimi, Philippe Hanhart

The procedures commonly used to evaluate the performance of objective quality metrics rely on ground truth mean opinion scores and associated confidence intervals, which are usually obtained via direct scaling methods. However, indirect scaling methods, su ...

Ieee2016

Online Collaborative Prediction of Regional Vote Results

Patrick Thiran, Matthias Grossglauser, Vincent Etter, Mohammad Emtiyaz Khan

We consider online predictions of vote results, where regions across a country vote on an issue under discussion. Such online predictions before and during the day of the vote are useful to media agencies, polling institutes, and political parties, e.g., t ...

IEEE2016

Integration of scientific and social networks

In this paper, we address the problem of scientific-social network integration to find a matching relationship between members of these networks (i.e. The DBLP publication network and the Twitter social network). This task is a crucial step toward building ...

Springer2014

Method of producing a reflective or refractive surface

Mark Pauly

A method and apparatus for producing a reflective or refractive surface that reflects or refracts light shined thereon and reproduces on a screen a desired greyscale intensity image on which the reflective or refractive surface is based and a corresponding ...

2014

How to remove the spurious resonances from ring polymer molecular dynamics

Michele Ceriotti, Mariana Rossi Carvalho

Two of the most successful methods that are presently available for simulating the quantum dynamics of condensed phase systems are centroid molecular dynamics (CMD) and ring polymer molecular dynamics (RPMD). Despite their conceptual differences, practical ...

Amer Inst Physics2014

COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses XII. Time delays of the doubly lensed quasars SDSS J1206+4332 and HS 2209+1914

Frédéric Courbin, Georges Meylan, Malte Tewes

Aims. Within the framework of the COSMOGRAIL collaboration we present 7- and 8.5-year-long light curves and time-delay estimates for two gravitationally lensed quasars: SDSS J1206+4332 and HS 2209+1914. Methods. We monitored these doubly lensed quasars in ...

Edp Sciences S A2013

Are Google’s linguistic prosthesis biased towards commercially more interesting expressions? A preliminary study on the linguistic effects of autocompletion algorithms

Frédéric Kaplan, Anna Jobin

Google's linguistic prosthesis have become common mediators between our intended queries and their actual expressions. By correcting a mistyped word or extending a small string of letters into a statistically plausible continuation, Google offers a valuabl ...

Center for Digital Research in the Humanities2013

Measurement System Configuration for Damage Identification of Continuously Monitored Structures

Ian Smith, Nizar Bel Hadj Ali, Ngoc Thanh Trinh, Irwanda Laory

Measurement system configuration is an important task in structural health monitoring in that decisions influence the performance of monitoring systems. This task is generally performed using only engineering judgment and experience. Such approach may resu ...

American Society of Civil Engineers2012

Optimal use of conservation and accessibility filters in microRNA target prediction

Jiri Vanicek, Ray Marcel Marin Florez

It is generally accepted that filtering microRNA (miRNA) target predictions by conservation or by accessibility can reduce the false discovery rate. However, these two strategies are usually not exploited in a combined and flexible manner. Here, we introdu ...

Public Library of Science2012

Designing measurement systems for continuous monitoring of structures

Ian Smith, Nizar Bel Hadj Ali, Ngoc Thanh Trinh, Irwanda Laory

A good measurement system improves capability to identify the behavior of civil engineering structures. This paper presents a measurement-system design approach for continuous monitoring of structures. This approach performs two tasks: (1) determining the ...

2011

Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

In recent years, multi-atlas fusion methods have gained significant attention in medical image segmentation. In this paper, we propose a general Markov Random Field (MRF) based framework that can perform edge-preserving smoothing of the labels at the time ...

2011

Role of elastin anisotropy in structural strain energy functions of arterial tissue

Nikolaos Stergiopoulos

The vascular wall exhibits nonlinear anisotropic mechanical properties. The identification of a strain energy function (SEF) is the preferred method to describe its complex nonlinear elastic properties. Earlier constituent-based SEF models, where elastin i ...

Springer-Verlag2011

Adaptive Oscillators with Human-in-the-Loop: Proof of Concept for Assistance and Rehabilitation

Auke Ijspeert, Jesse van den Kieboom

Most recent findings in robot-assisted therapy suggest that the therapy is more successful if the patient actively participates to the movement (“assistance-as-needed”). In the present contribution, we propose a novel approach for designing highly flexible ...

IEEE2010