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Loïc Lannelongue

Showing results (1-10 of 11) with videos related to

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Bioinformatics (Oxford, England)|January 10, 2024
Pitfalls of machine learning models for protein-protein interaction networksLoïc Lannelongue, Michael Inouye
Cold Spring Harbor Perspectives in Biology|December 1, 2023
Environmental Impacts of Machine Learning Applications in Protein ScienceLoïc Lannelongue, Michael Inouye
Annual Review of Biomedical Data Science|April 28, 2026
The Case for Greener Biomedical Data Science and How to Get ThereGabrielle Samuel, Loïc Lannelongue
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|July 1, 2021
Green Algorithms: Quantifying the Carbon Footprint of ComputationLoïc Lannelongue, Jason Grealey, Michael Inouye
Environmental Research Communications|November 29, 2023
How to estimate carbon footprint when training deep learning models? A guide and reviewLucía Bouza, Aurélie Bugeau, Loïc Lannelongue
Molecular Biology and Evolution|February 10, 2022
The Carbon Footprint of BioinformaticsJason Grealey, Loïc Lannelongue, Woei-Yuh Saw, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Ten recommendations for reducing the carbon footprint of research computing in human neuroimagingNicholas E Souter, Loïc Lannelongue, Gabrielle Samuel, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Comparing the carbon footprint of fMRI data processing and analysis approachesNicholas E Souter, Chris Racey, Nikhil Bhagwat, et al.
Human Brain Mapping|August 26, 2024
Measuring and reducing the carbon footprint of fMRI preprocessing in fMRIPrepNicholas E Souter, Nikhil Bhagwat, Chris Racey, et al.
Nature Computational Science|January 4, 2024
GREENER principles for environmentally sustainable computational scienceLoïc Lannelongue, Hans-Erik G Aronson, Alex Bateman, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|January 10, 2024
Pitfalls of machine learning models for protein-protein interaction networksLoïc Lannelongue, Michael Inouye
Cold Spring Harbor Perspectives in Biology|December 1, 2023
Environmental Impacts of Machine Learning Applications in Protein ScienceLoïc Lannelongue, Michael Inouye
Annual Review of Biomedical Data Science|April 28, 2026
The Case for Greener Biomedical Data Science and How to Get ThereGabrielle Samuel, Loïc Lannelongue
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|July 1, 2021
Green Algorithms: Quantifying the Carbon Footprint of ComputationLoïc Lannelongue, Jason Grealey, Michael Inouye
Environmental Research Communications|November 29, 2023
How to estimate carbon footprint when training deep learning models? A guide and reviewLucía Bouza, Aurélie Bugeau, Loïc Lannelongue
Molecular Biology and Evolution|February 10, 2022
The Carbon Footprint of BioinformaticsJason Grealey, Loïc Lannelongue, Woei-Yuh Saw, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Ten recommendations for reducing the carbon footprint of research computing in human neuroimagingNicholas E Souter, Loïc Lannelongue, Gabrielle Samuel, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Comparing the carbon footprint of fMRI data processing and analysis approachesNicholas E Souter, Chris Racey, Nikhil Bhagwat, et al.
Human Brain Mapping|August 26, 2024
Measuring and reducing the carbon footprint of fMRI preprocessing in fMRIPrepNicholas E Souter, Nikhil Bhagwat, Chris Racey, et al.
Nature Computational Science|January 4, 2024
GREENER principles for environmentally sustainable computational scienceLoïc Lannelongue, Hans-Erik G Aronson, Alex Bateman, et al.
Pageof 2