Concept

Knowledge engineering

Related publications (63)

Object Priors for Volumetric Image Segmentation

Large training datasets have played a vital role in the success of modern deep learning methods in computer vision. But, obtaining sufficient amount of training data is challenging, specially when annotating volumetric images. This is because fully annotat ...

EPFL2022

Promoting Computational Thinking Skills in Non-Computer Science Students Gamifying Computational Notebooks to Increase Student Engagement

Denis Gillet, Juan Carlos Farah, Adrian Christian Holzer, Marc Lafuente Martinez, Pascal Felber

Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor and masters programs outside of the computer science discipline integ ...

2022

Computational Archives for Experimental Museology

Sarah Irene Brutton Kenderdine, Lillian Hibberd

This article addresses the potential for computational practises within archival and museological domains by charting a positional shift occurring in digital archives; from working with an object orientation and containment – to computing with a dimension ...

2021

A Knowledge Management Approach Supporting Model-Based Systems Engineering

Dimitrios Kyritsis, Jinzhi Lu, Lei Feng

Model-based Systems Engineering (MBSE) is a noval approach to support complex system development by formalizing system artifacts and development using models. Though MBSE models provide a completely structural formalisms about system development for system ...

2021

Formation of transformation products during ozonation of secondary wastewater effluent and their fate in post-treatment: From laboratory-to full-scale

Urs von Gunten

Ozonation is increasingly applied in water and wastewater treatment for the abatement of micropollutants (MPs). However, the transformation products formed during ozonation (OTPs) and their fate in biological or sorptive post-treatments is largely unknown. ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Assisted Specification of Discrete Choice Models

Nicola Marco Ortelli

Determining appropriate utility specifications for discrete choice models is time-consuming and prone to errors. As the number of possible functions exponentially grows with the variables under consideration, analysts need to spend increasing amounts of ti ...

2020

Isogeometric Mortar Coupling for Electromagnetic Problems

Annalisa Buffa, Rafael Vazquez Hernandez

This paper discusses and analyzes two domain decomposition approaches for electromagnetic problems that allow the combination of domains discretized by either Nédélec-type polynomial finite elements or spline-based isogeometric analysis. The first approach ...

2020

Transforming knowledge systems for life on Earth: Visions of future systems and how to get there

Susan Marie Mühlemeier

Formalised knowledge systems, including universities and research institutes, are important for contemporary societies. They are, however, also arguably failing humanity when their impact is measured against the level of progress being made in stimulating ...

ELSEVIER2020

RSVQA: Visual Question Answering for Remote Sensing Data

Devis Tuia, Sylvain Lobry

This article introduces the task of visual question answering for remote sensing data (RSVQA). Remote sensing images contain a wealth of information, which can be useful for a wide range of tasks, including land cover classification, object counting, or de ...

2020

Inter-laboratory Study for Characterizing Monoclonal Antibodies by Top-Down and Middle-Down Mass Spectrometry

Yury Tsybin, Natalia Gasilova, Laure Menin, Luca Fornelli, Kristina Srzentic

The Consortium for Top-Down Proteomics (www.topdownproteomics.org) launched the present study to assess the current state of top-down mass spectrometry (TD MS) and middle-down mass spectrometry (MD MS) for characterizing monoclonal antibody (mAb) primary s ...

2020

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