Concept

Visualization (graphics)

Publications associées (215)

The SONATA data format for efficient description of large-scale network models

Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Jean-Denis Georges Emile Courcol, Michael Emiel Gevaert, Adrien Michel Achille Devresse, Juan Bautista Hernando Vieites

Increasing availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in scale, complexity, and biological realism of computational models in neuroscience. To support construction and simulation ...

PLOS2020

The Hermeneutic Circle of Data Visualization: the Case Study of the Affinity Map

Dario Rodighiero

In this article, we show how postphenomenology can be used to analyze a visual method that reveals the hidden dynamics that exist between individuals within large organizations. We make use of the Affinity Map to expand the classic postphenomenology that p ...

2020

Sub-Matrix Factorization for Real-Time Vote Prediction

Patrick Thiran, Matthias Grossglauser, Victor Kristof

We address the problem of predicting aggregate vote outcomes (e.g., national) from partial outcomes (e.g., regional) that are revealed sequentially. We combine matrix factorization techniques and generalized linear models (GLMs) to obtain a flexible, effic ...

2020

Data-driven method for low-carbon building design at early stages

Thomas Bernard Paul Jusselme

The Paris agreement on climate change called for carbon neutrality as of 2050. The built environment is one of the major contributors to the greenhouse effect, representing 39% of global emissions. As a result, this sector is targeted by green standards an ...

EPFL2020

EaRL—Software for Earthquake Risk, Loss and Lifecycle Analysis

Dimitrios Lignos, Ahmed Mohamed Ahmed Elkady

Performance-based earthquake engineering (PBEE) has become an increasingly popular framework to design, retrofit and manage structures. This probabilistic framework integrates data from the seismic hazard, structural response, damage fragility and damage c ...

2020

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Pascal Fua, Mathieu Salzmann, Agata Justyna Mosinska, Mateusz Kozinski

The difficulty of obtaining annotations to build training databases still slows down the adoption of recent deep learning approaches for biomedical image analysis. In this paper, we show that we can train a Deep Net to perform 3D volumetric delineation giv ...

ELSEVIER2020

Improved susceptibility-weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T

Meritxell Bach Cuadra, Constantin Tuleasca, José Pedro Rebelo Ferreira Marques, Daniel Gallichan, João Pedro Forjaco Jorge, Elena Najdenovska, Frédéric Gretsch

Purpose The thalamus is an important brain structure and neurosurgical target, but its constituting nuclei are challenging to image non-invasively. Recently, susceptibility-weighted imaging (SWI) at ultra-high field has shown promising capabilities for tha ...

2020

Atomic scale symmetry and polar nanoclusters in the paraelectric phase of ferroelectric materials

Dragan Damjanovic, Emad Oveisi, Sina Hashemi Zadeh, Takuya Hoshina

The nature of the "forbidden" local- and long-range polar order in nominally nonpolar paraelectric phases of ferroelectric materials has been an open question since the discovery of ferroelectricity in oxide perovskites (ABO3). A currently considered model ...

2020

A Complexity Analysis Approach for Model-based System Engineering

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng, Jinwei Chen

With the increasing complexity of the highly engineered products, Model-based Systems Engineering (MBSE) is proposed to support the complexity management of the product development. As the basic of complexity management, complexity analysis is used to meas ...

IEEE2020

Self-Recognition in Data Visualization: How Individuals See Themselves in Visual Representations

Dario Rodighiero, Loup Cellard

This article explores how readers recognize their personal identities represented through data visualizations. The recognition is investigated starting from three definitions captured by the philosopher Paul Ricoeur: the identification with the visualizati ...

2019

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