Publications associées à biogrowleR: Enhancing Longitudinal Data Analysis

Publications associées (10)

From Prediction to Prescription: Machine Learning and Causal Inference for the Heterogeneous Treatment Effect

The increasing accumulation of medical data brings the hope of data-driven medical decision-making, but data's increasing complexity—as text or images in electronic health records—calls for complex models, such as machine learning. Here, we review how mach ...

Annual Reviews2025

Mapping Brain Morphology with Micro-CT and Topological Data Analysis: From Drosophila to General Applications

Samuel Sagar Kumar

Few organisms offer a window as precise and tractable into the exploration of biological form as Drosophila melanogaster. Yet the extraordinary natural variation in its brain morphology has remained largely uncharted, restrained by limitations in imaging, ...

EPFL2025

Exploiting the diversity of modeling methods to probe systematic biases in strong lensing analyses

Aymeric Alexandre Galan

Challenges inherent to high-resolution and high signal-to-noise data as well as model degeneracies can cause systematic biases in analyses of strong lens systems. In the past decade, the number of lens modeling methods has significantly increased, from pur ...

EDP SCIENCES S A2024

Quantitative Assessment of Research Data Management Practices - 2023

Chiara Gabella, Francesco Varrato

This survey investigates Research Data Management (RDM) practices across five Swiss higher education institutions, including EPFL, ETH Zürich, Eawag, FHNW, and DaSCH, with the goal of gathering insights into how researchers manage data and code throughout ...

Zenodo2024

Euclid preparation LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods

Frédéric Courbin, Georges Meylan

Euclid will collect an enormous amount of data during the mission’s lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting methods, numerous machine learning (ML) algorithms have been presented for comput ...

2024

The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update

Volodymyr Savchenko

Galaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool and reference d ...

OXFORD UNIV PRESS2024

Household surveys in four informal settlements in Abidjan (Côte d'Ivoire) and Nairobi (Kenya)

Vitor Pessoa Colombo

Description: Latest release of data (anonymized) collected in informal settlements in Côte d'Ivoire and Kenya during my PhD thesis, with the respective metadata (questionnaire files). Please note that some data (geolocation, specific age of participant, an ...

Zenodo2024

Experimental characterization and stochastic models for time-dependent rupture of thin-ply composite laminates

Kanthasamy Ubamanyu

Thin-laminate composites with thicknesses below 200 mu m hold significant promise for future, larger, and lighter deployable structures. This paper presents a study of the time-dependent failure behavior of thin carbon-fiber laminates under bending, focusi ...

2024

Walking with shorter stride length could improve knee kinetics of patients with medial knee osteoarthritis

Brigitte Jolles-Haeberli

Walking with a shorter stride length (SL) was recently proposed for gait retraining in medial knee osteoarthritis; however it was never assessed in this patient population. This study tested the hypothesis that shortening SL while maintaining walking speed ...

ELSEVIER SCI LTD2023

Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs

Pascal Frossard, Nikolaos Geroliminis, Semin Kwak

Multivariate time series forecasting poses challenges as the variables are intertwined in time and space, like in the case of traffic signals. Defining signals on graphs relaxes such complexities by representing the evolution of signals over a space using ...

2021