Evaluation and digitalization: what are the key challenges for evaluation processes and evaluators?

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File formats are described in read_me files in the concerning folder. For plotting and data evaluation, Python 2.7 was used. Example scripts for plotting are provided. ...

Language has shaped human evolution and led to the desire to endow machines with language abilities. Recent advancements in natural language processing enable us to achieve this breakthrough in human-machine interaction. However, introducing conversational ...

Tumor cell fraction (TCF) estimation is a common clinical task with well-established large interobserver variability. It thus provides an ideal test bed to evaluate potential impacts of employing a tumor cell fraction computer-aided diagnostic (TCFCAD) too ...

Before the twentieth century and concrete modernity, it was stone that embodied the “well built”. Could sustainable wood one day replace concrete as the archetypal material? Will it find a place on the scale of values that gives archi- tecture its referenc ...

As one of the three most popular sports in the Summer Olympics, competitive swimming has always been an attractive subject of study for sports scientists. The intricate nature of the swimmer's movements and the variety of techniques have led coaches to req ...

Technical evaluation of swimming performance is an essential factor in preparing elite swimmers for their competitions. Inertial measurement units (IMUs) have attracted much attention recently because they can provide coaches with a detailed analysis of sw ...

Over the past decades, the world-leading Green Certification Protocols have been paid increasing attention to health-related aspects of buildings. However, the way and the extent to which green certifications currently account for these aspects vary largel ...

This article develops a fully decentralized multiagent algorithm for policy evaluation. The proposed scheme can be applied to two distinct scenarios. In the first scenario, a collection of agents have distinct datasets gathered by following different behav ...

At the beginning of the 19th century, the Napoleonic administration introduced a new standardised description system to give an objective account of the form and functions of the city of Venice. The cadastre, deployed on a European scale, was offering for ...

Digital contact tracing is a relevant tool to control infectious disease outbreaks, including the COVID-19 epidemic. Early work evaluating digital contact tracing omitted important features and heterogeneities of real-world contact patterns influencing con ...

Jet injection devices have been studied and developed for transdermal drug delivery to avoid the use of needles. Such contact-less devices provide several advantages such as better dose control, lateral and depth localisation, lower collateral damage than ...

Policymaking is a complex process that has been studied using policy process theories almost exclusively. These theories have been built using a large number of qualitative cases. Such methods are useful for theory building but remain limited for theory ex ...

Ever since the links between the development of new technologies and economic growth became evident, researchers have attempted to study how the creation of knowledge fosters progress. If pushing the frontier of knowledge has an impact on progress and well ...

The shoulder is the joint with the largest range of motion in the human body. It is composed of three articulations, the glenohumeral articulation providing about two thirds of its mobility which is, also the most complex and fragile of the three. For this ...

This paper presents the results of a study performed in order to evaluate whether a navigation technique, based on scaling the user’s avatar, impacts the user’s ability to correctly assess the size of virtual objects in a virtual environment. This study wa ...

In this paper we develop a fully decentralized algorithm for policy evaluation with off-policy learning and linear function approximation. The proposed algorithm is of the variance reduced kind and achieves linear convergence with O(1) memory requirements. ...

Attacks against IoT systems are increasing at an alarming pace. Many IoT systems are and will be built using low-cost micro-controllers (IoT-pCs). Different security mechanisms have been proposed for IoT-mu Cs with different trade-offs. To guarantee a real ...

Identifying nuclei is often a critical first step in analyzing microscopy images of cells and classical image processing algorithms are most commonly used for this task. Recent developments in deep learning can yield superior accuracy, but typical evaluati ...

We consider the problem of estimating the set of all inputs that leads a system to some particular behavior. The system is modeled by an expensive-to-evaluate function, such as a computer experiment, and we are interested in its excursion set, that is, the ...

This paper performs a comprehensive and comparative evaluation of the state of the art local features for the task of image based 3D reconstruction. The evaluated local features cover the recently developed ones by using powerful machine learning technique ...

Evaluation and digitalization: what are the key challenges for evaluation processes and evaluators?

Chattez avec Graph Search

Periodic and aperiodic NiFe nanomagnet/ferrimagnet hybrid structures for 2D magnon steering and interferometry with high extinction ratio

Towards Novel Evaluation Methods for Social Dialog Systems

Pathologist Computer-Aided Diagnostic Scoring of Tumor Cell Fraction: A Swiss National Study

Les Cahiers de l'Ibois 3 / Ibois Notebook 3

SmartSwim: A novel approach to swimming analysis and coaching assistance based on wearable inertial sensors

Monitoring weekly progress of front crawl swimmers using IMU-based performance evaluation goal metrics

Review of health and well-being aspects in Green Certification Protocols

Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates

Une approche computationnelle du cadastre napoléonien de Venise

Digital proximity tracing on empirical contact networks for pandemic control

Laser-induced liquid micro-jets for drug delivery

Exploring policy change through agent-based simulation

The organisation of science: topics, incentives and funding

Evaluation and robotic simulation of the glenohumeral joint

Does scaling player size skew one’s ability to correctly evaluate object sizes in a virtual environment?

Distributed Value-Function Learning with Linear Convergence Rates

BenchIoT: A Security Benchmark for the Internet of Things

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Adaptive Design of Experiments for Conservative Estimation of Excursion Sets

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction