Publications related to Hire Me: Computational inference of hirability in employment interviews based on nonverbal behavior

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

Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

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

Kuan Tung

BACKGROUND. Clinical Decision Support Systems (CDSS) are point-of-care questionnaires that guide consultations to evidence-based predictions with the aim of standardizing care and optimizing resource allocation. The data collected in these tools contain po ...

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

Clinical detection of 'cold stress' is overlooked: an online survey of healthcare workers to explore the gap in neonatal thermal care in low-resource settings

Background Neonatal hypothermia has been widely regarded as a major contributory factor to neonatal mortality and morbidity in low-resource settings. The high prevalence of potentially preventable hypothermia today urges an investigation into why neonates ...

BMJ PUBLISHING GROUP2022

Physics-enhanced machine learning with symmetry-adapted and long-range representations

Andrea Grisafi

Theoretical and computational approaches to the study of materials and molecules have, over the last few decades, progressed at an exponential rate. Yet, the possibility of producing numerical predictions that are on par with experimental measurements is t ...

EPFL2021

Neural controlled differential equations for crop classification

Accurate and scalable crop classification is important for food security and sustainable resources management. The temporal development of crops, i.e., their phenology, is a continuous phenomena that if properly captured, can help to discern them. The nove ...

2021

Bayesian regression explains how human participants handle parameter uncertainty

Michael Herzog, Jean-Pascal Théodor Pfister, Maya Anna Jastrzebowska, Mattew Pachai

Author summary How do humans make prediction when the critical factor that influences the quality of the prediction is hidden? Here, we address this question by conducting a simple psychophysical experiment in which participants had to extrapolate a parabo ...

2020

Pictorial usability inventory (PUI)

Andreas Sonderegger

The Pictorial Usability Inventory (PUI) is an image-based instrument that was designed for the assessment of perceived usability of smartphone apps. The aim was to provide users with an easy and intuitive access to the evaluation of perceived usability. PU ...

Association for Computing Machinery2020

Bayesian modeling of brain function and behavior

Maya Anna Jastrzebowska

The application of Bayesian modeling techniques is increasingly common in neuroscience due to the coherent and principled way in which the paradigm deals with uncertainty. The Bayesian framework is particularly valuable in the context of complex, ill-posed ...

EPFL2020

Hire Me: Computational inference of hirability in employment interviews based on nonverbal behavior

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Comparison of questionnaire items for discomfort glare studies in daylit spaces

Distributional Regression and Autoregression via Optimal Transport

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

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

Clinical detection of 'cold stress' is overlooked: an online survey of healthcare workers to explore the gap in neonatal thermal care in low-resource settings

Physics-enhanced machine learning with symmetry-adapted and long-range representations

Neural controlled differential equations for crop classification

Bayesian regression explains how human participants handle parameter uncertainty

Pictorial usability inventory (PUI)

Bayesian modeling of brain function and behavior

Comparison of questionnaire items for discomfort glare studies in daylit spaces

Pictorial usability inventory (PUI)

Distributional Regression and Autoregression via Optimal Transport

Bayesian modeling of brain function and behavior

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

Clinical detection of 'cold stress' is overlooked: an online survey of healthcare workers to explore the gap in neonatal thermal care in low-resource settings

Neural controlled differential equations for crop classification

Physics-enhanced machine learning with symmetry-adapted and long-range representations

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

Bayesian regression explains how human participants handle parameter uncertainty