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Publications associées (459)

Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection

In the context of automatic visual inspection of infrastructures by drones, Deep Learning (DL) models are used to automatically process images for fault diagnostics. While explainable Artificial Intelligence (AI) algorithms can provide explanations to asse ...

Research Publishing2023

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

Michaël Unser, Pakshal Narendra Bohra, Alexis Marie Frederic Goujon, Sebastian Jonas Neumayer, Stanislas Ducotterd

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems". The corresponding scripts can be accessed on GitHub (https://github.com/axgoujon/convex_ridge_regularizers). The data is organized as follows: - ct_data_sets.tar.gz: contains prepr ...

EPFL Infoscience2023

Reinforcement bond performance in 3D concrete printing: Explainable ensemble learning augmented by deep generative adversarial networks

Xianlin Wang

Integrating various reinforcements into 3D concrete printing (3DCP) is an efficient method to satisfy critical requirements for structural applications. This paper explores an explainable ensemble machine learning (EML) method to predict the bond failure m ...

Amsterdam2023

Variation in Phototopic and Melanopic Lighting in Swiss Offices: A Field Study

Marilyne Andersen, Jan Wienold, Caroline Karmann, Megan Nicole Danell, Clotilde Marie A Pierson

Health requirements for lighting in buildings are becoming increasingly important in building standards. Yet, there is a lack of concrete data on the lighting conditions that prevail in our workplaces, in terms of their spectral characteristics, their seas ...

2023

On combining denoising with learning-based image decoding

Touradj Ebrahimi, Michela Testolina

Noise is an intrinsic part of any sensor and is present, in various degrees, in any content that has been captured in real life environments. In imaging applications, several pre- and post-processing solutions have been proposed to cope with noise in captu ...

SPIE2022

X-ray imaging detector for radiological applications adapted to the context and requirements of low- and middle-income countries

Jean-Philippe Thiran, René Salathé, Klaus Benedikt Schönenberger, Jérôme Schmid, Mario Andres Chavarria Varon, Hubert Blanchard, Romain Sahli, Sébastien Emmanuel Blanc, Matthias Hüser

This paper describes the development of a novel medical x-ray imaging system adapted to the needs and constraints of low- and middle-income countries. The developed system is based on an indirect conversion chain: a scintillator plate produces visible ligh ...

2022

augmented-stacking

Katrin Beyer, Yves Weinand, Julien Gamerro, Andrea Settimi, Qianqing Wang, David Rebiffe

Augmented Stacking is an augmented system designed to guide inexperienced users through the stacking of complex and irregular geometries. This digital fabrication system was applied to the assembly of one layer of a half-timber dry-stone wall. Augmented St ...

2022

The resistance of stone: thick and fragmented urban collective memory in Gulou

Florence Graezer Bideau

In his seminal work, Halbwachs (1950: 132–139) already noted a homology between the resistance of stone and the resistance of cities’ inhabitants to being displaced or effaced. This contribution seeks to study the relationship between the built environment ...

2022

LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi

Martin Vetterli, Eric Bezzam, Sepand Kashani, Matthieu Martin Jean-André Simeoni

Lensless imaging seeks to replace/remove the lens in a conventional imaging system. The earliest cameras were in fact lensless, relying on long exposure times to form images on the other end of a small aperture in a darkened room/container (camera obscura) ...

2022

Attribute Prediction as Multiple Instance Learning

Devis Tuia, Diego Marcos Gonzalez

Attribute-based representations help machine learning models perform tasks based on human understandable concepts, allowing a closer human-machine collaboration. However, learning attributes that accurately reflect the content of an image is not always str ...

2022

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