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In the age of digital and big data, the interaction with machines is central and emphasizes the sophistication of user interfaces and browsing tools. However, in the domain of digital artwork collections, most platforms propose access to images through key ...
Our contribution will propose a new approach for engaging with scientific instruments inspired by a recent exhibition which we have designed and organized. Inverting the current trope of presenting history through many objects, the exhibition weaved togeth ...
The Centre Beaubourg of Paris, now known as the Centre National d'Art et de Culture Georges Pompidou, conceived by Piano+Rogers Architects and Ove Arup & Partners, between 1971 and 1977, represents one of the rare synthesis of the architectural, constructi ...
We present a pipeline for the automatic generation of digital twins of free-standing buildings for damage assessment. Our method takes multiple view images of the target building as input and processes them to produce a 3D model in levels of detail (LOD) f ...
2022
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This paper proposes a studied case to assess the EMF (electromagnetic field) exposure distribution for a specific deployment scenario. This developed novel approach based on a Monte-Carlo (MC) approach took into account the non-uniform user distribution an ...
IEEE2022
As part of her exhibition Oasis of Peace. Neutral Only On The Outside at Centre culturel suisse, the artist Denise Bertschi talks with Heonik Kwon (Senior Research Fellow in Social Anthropology at Trinity College, University of Cambridge). For her exhibiti ...
2021
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This training dataset includes a total of 34,913 manually transcribed text segments. It is dedicated to the handwritten text recognition (HTR) of historical sources, typically tabular records, such as censuses. This dataset is based on a sample of 83 pages ...
Zenodo2023
This thesis consists of three applications of machine learning techniques to empirical asset pricing.In the first part, which is co-authored work with Oksana Bashchenko, we develop a new method that detects jumps nonparametrically in financial time series ...
EPFL2022
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This research tests the potential susceptibility of a prevalent, residential, wall assembly to the risk of sustained mold-growth in predicted future climate conditions. Here, the authors demonstrate a methodology that combines hygrothermal and mold-growth ...
IEEE2021
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We investigate methods for manipulating classifier explanations while keeping the predictions unchanged. Our focus is on using a sparse attack, which seeks to alter only a minimal number of input features. We present an efficient and novel algorithm for co ...
