Notice
Reproductibilité : pourquoi et comment
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Descriptif
Intervention de Valérie Orozco lors de l'Assemblée Générale du RIS en 2021
Présentation de la différence entre répétabilité et reproductibilité, proposition de méthodes de travail pour avoir des résultats reproductibles.
Thème
Sur le même thème
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Computational reproductibility: an overview illustrated with examples from the medical imaging rese…
PopSorinaComputational reproductibility: an overview illustrated with examples from the medical imaging research community
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Tutorial Track 1: Reproducible distributed environments with NixOS Compose
Presented by Quentin Guilloteau, Postdoctoral Fellow, Fernando Ayats Llamas, Research Engineer and Olivier Richard, Assistant Professor.
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Tutorial Track 1: Reproducibility of Scientific Results using E4S Containers
Presented by SHENDE, Sameer, Research Profesor.
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Tutorial Track2: Fostering Reproducibility By Integrating Large Language Model and Scholarly Knowl…
Presented by Hassan Hussein, PhD Student, Vindoh Ilangovan, Researcher and Kaouter Kebaili, PhD Student.
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Tutorial Track 3: Managing HPC Software Complexity with Spack
Presented by Massimiliano Culpo, Researcher.
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Tutorial Track 4: Practical strategies for teaching reproducibility
Presented by Fraida Fund, Research Assistant Professor, Sarah Cohen-Boulakia, Professor and Bogdan Alexandru Stoica, PhD Student.
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Keynote: Replicable empirical machine learning research
BoulesteixAnne-LaureIn the absence of mathematical theory addressing complex real-life settings beyond simplifying assumptions, the behavior and performance of machine learning methods often has to be addressed by
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Session 4: Poster Lightning Talks
Talk 1 [00:00] NPF: orchestrate and reproduce network experiments. By Tom Barbette. Presented by Tom Barbette, Assistant Professor. Talk 2 [03:10] : From reproducible to reusable bioinformatics
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Keynote: Reproducibility and replicability of computer simulations
HinsenKonradSince the early days of the reproducibility crisis, much progress has been made in understanding and improving computational reproducibility and replicability (R and R)...
