Reproducible Research in Computational Harmonic Analysis

By David L. Donoho, Arian Maleki, I. U. Rahman, Morteza Shahram, Victoria Stodden. Computing in science & engineering (Print), 2009

296 citations recorded by the source corpus.

Subfields: Biophysics, Computational Mechanics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d8582a1d564f4d51c3834446a7f5a94c5206ce70

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In Biophysics

In Computational Mechanics

In Molecular Biology

Citations in the corpus

Toward Reproducibility in Online Social Network Research (2018, background): “The consideration of the scientific method in computational science has grown of late, as researchers increasingly recognise computation as a separate methodological branch of science in its own right [9].”
Reproducibility vs. Replicability: A Brief History of a Confused Terminology (2018, methodology): “His work was followed up by David Donoho and Victoria Stodden (Donoho et al., 2009) and introduced to a wider audience by Peng (2011).”
HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning (2019, unknown): “[78].”
SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research (2017, background): “An essential requirement for confirming any conclusions described in a scientific publication, including biomedical image analysis findings, is reproducibility [7, 21].”
Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing (2009, methodology): “3) Promoting Reproducible Computational Research: An implicit but still important contribution of our work is adherence to the paradigm of Reproducible Computational Research [48].”
Madagascar: open-source software project for multidimensional data analysis and reproducible computational experiments (2013, background): “Testing of scientific research codes is important not only for detecting software bugs but also for assuring computational reproducibility and enabling other researchers to expand on published research results [9,10].”
The case for open computer programs (2012, background): “Donoho and co-workers, for example, have developed software packages that allow anyone with access to the Matlab programming language and development environment to reproduce figures from their harmonic analysis articles, inspect source code, change parameters and access data set”
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery (2009, background): “In the spirit of reproducible research [26], a Matlab version of NESTA will be made available at: http://www.”
State of the Art: Reproducibility in Artificial Intelligence (2018, background): “According to (Donoho et al. 2009) ”it is impossible to verify most of the computational results presented at conferences and in papers today”.”
Three principles of data science: predictability, computability, and stability (PCS) (2018, background): “For example, (13) discusses reproducible research in the context of computational harmonic analysis.”
50 Years of Data Science (2017, background): “Working from the beginning with a plan for sharing code and data leads to higher quality work, and ensures that authors can access their own former work, and those of their co-authors, students and postdocs (Donoho et al. 2009).”