Publications associées à Predictive validity

Vertical and Leg Stiffness Modeling During Running: Effect of Speed and Incline

Kamiar Aminian, Frédéric Meyer, Grégoire Millet, Mathieu Pascal Falbriard

A spring mass model is often used to describe human running, allowing to understand the concept of elastic energy storage and restitution. The stiffness of the spring is a key parameter and different methods have been developed to estimate both the vertica ...

GEORG THIEME VERLAG KG2023

Comparison of questionnaire items for discomfort glare studies in daylit spaces

Marilyne Andersen, Jan Wienold, Caroline Karmann, Sneha Jain, Geraldine Cai Ting Quek, Clotilde Marie A Pierson

When studying discomfort glare, researchers tend to rely on a single questionnaire item to obtain user evaluations. It is unclear whether the choice of questionnaire item affects the distribution of user responses and leads to inconsistencies between studi ...

2023

An Ordinal Latent Variable Model of Conflict Intensity

Robert West

Measuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of '' who did what to whom '' micro-records that enable datadriven approaches to monitoring confl ...

Assoc Computational Linguistics-Acl2023

Assessing Computational Thinking: Development and Validation of the Algorithmic Thinking Test for Adults

Olivier Lévêque, Cécile Hardebolle, Marc Lafuente Martinez

This study describes the development and validation process of a computational thinking (CT) test for adults. The team designed a set of items and explored a subset of those through two qualitative pilots. Then, in order to provide validity evidence based ...

2022

Evaluation of a shortened version of the Action Research Arm Test (ARAT) for upper extremity function after stroke: The Mini-ARAT

Friedhelm Christoph Hummel, Lisa Aïcha Mireille Julie Fleury

Objectives (i) to create a shortened version of the Action Research Arm Test scale, (ii) to investigate its psychometric properties compared to the original scale and (iii) to externally validate it within an independent cohort. Design Prospective longitud ...

SAGE PUBLICATIONS LTD2022

Study on the internal crack network of the ASR-affected concrete by the tomography-based numerical model

Jean-François Molinari, Emil Gallyamov, Mahdieh Shakoorioskooie

In this paper, we present a novel finite element model to simulate alkali-silica reaction in a realistic concrete meso-structure. Application of the internal ASR loading leads to the evolution of multiple deviated cracks and corresponding macroscopic expan ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Vinitra Swamy, Bahar Radmehr, Mirko Marras, Natasa Krco

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in human-centric fields. We im ...

2022

Self-learning surrogate models in superstructure optimization

François Maréchal, Ivan Daniel Kantor, Julia Granacher, Michel Lopez

In this contribution, we propose an algorithm for replacing non-linear process simulation integrated in multi-level optimization of an energy system superstructure with surrogate models. With our approach, we demonstrate that surrogate models are a valid t ...

Elsevier2021

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

Raphaël Pierre Liégeois, Jonathan Raël Lurie, Daniel Kessler

The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain's functional architecture and the r ...

MIT PRESS2020

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Predictive validity

Vertical and Leg Stiffness Modeling During Running: Effect of Speed and Incline

Comparison of questionnaire items for discomfort glare studies in daylit spaces

An Ordinal Latent Variable Model of Conflict Intensity

Assessing Computational Thinking: Development and Validation of the Algorithmic Thinking Test for Adults

Evaluation of a shortened version of the Action Research Arm Test (ARAT) for upper extremity function after stroke: The Mini-ARAT

Study on the internal crack network of the ASR-affected concrete by the tomography-based numerical model

MoDN-Flip: Optimizing Modular Clinical Decision Support Networks with Decision Flippability Score

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Self-learning surrogate models in superstructure optimization

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

Graph Chatbot

Chattez avec Graph Search

MoDN-Flip: Optimizing Modular Clinical Decision Support Networks with Decision Flippability Score

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

An Ordinal Latent Variable Model of Conflict Intensity

Evaluation of a shortened version of the Action Research Arm Test (ARAT) for upper extremity function after stroke: The Mini-ARAT

Assessing Computational Thinking: Development and Validation of the Algorithmic Thinking Test for Adults

Self-learning surrogate models in superstructure optimization

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

Vertical and Leg Stiffness Modeling During Running: Effect of Speed and Incline

Comparison of questionnaire items for discomfort glare studies in daylit spaces

Study on the internal crack network of the ASR-affected concrete by the tomography-based numerical model