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Gospel of the Marseille Docker - Nicholas Derybolsky from 1952

Related publications (38)

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Holistic, Efficient, and Real-time Cleaning of Heterogeneous Data

Styliani Asimina Giannakopoulou

Data cleaning has become an indispensable part of data analysis due to the increasing amount of dirty data. Data scientists spend most of their time preparing dirty data before it can be used for data analysis. Existing solutions that attempt to automate t ...

EPFL2021

STATE FICTION. Neutral Only on the Outside

Denise Bertschi

Under the title "State Fiction" (2014–2021) the artist's long-term research focusses on the zone that divides the two Koreas, a locus of congealed international Cold War interests and a source of improbable images. After an internationally brokered armisti ...

self-published2021

Devout Landscape Migrant Placemaking through the Afterlife in Huế, Vietnam

Phi Nguyen Yen

The settlement history of Huế is one of constant demographic shifts, political turmoil, and natural vulnerability. A borderland and battleground during Vietnam’s invasion of Champa Kingdom, the North-South Civil War between two Vietnamese clans Trịnh - Ngu ...

2021

Progress Toward Interpretable Machine Learning-Based Disruption Predictors Across Tokamaks

Olivier Sauter, Alessandro Pau

In this paper we lay the groundwork for a robust cross-device comparison of data-driven disruption prediction algorithms on DIII-D and JET tokamaks. In order to consistently carry on a comparative analysis, we define physics-based indicators of disruption ...

TAYLOR & FRANCIS INC2020

Cleaning Denial Constraint Violations through Relaxation

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...

ASSOC COMPUTING MACHINERY2020

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IEEE COMPUTER SOC2020

Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis

Cathrin Brisken, Kathryn Hess Bellwald, Jacques Rougemont

Motivation: Unbiased clustering methods are needed to analyze growing numbers of complex data sets. Currently available clustering methods often depend on parameters that are set by the user, they lack stability, and are not applicable to small data sets. ...

2019

Time- and Space-Efficient Spatial Data Analytics

Mirjana Pavlovic

Advances in data acquisition technologies and supercomputing for large-scale simulations have led to an exponential growth in the volume of spatial data. This growth is accompanied by an increase in data complexity, such as spatial density, but also by mor ...

EPFL2019

Measuring transient phase-amplitude coupling using local mutual information

Here we demonstrate the suitability of a local mutual information measure for estimating the temporal dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals. In CFC, concurrent activity streams in different frequency ranges intera ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Since the 1940s, the buildings added to the IIT Campus in Chicago had either been designed by Mies van der Rohe himself or largely informed by his example and teachings. With the Harold Leonard Stuart Building from 1971 by the SOM partner and former Mies s ...

2019