Victoria Stodden

Orcid: 0000-0003-2015-7825

According to our database1, Victoria Stodden authored at least 34 papers between 2003 and 2024.

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Bibliography

2024
The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning.
Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, 2024

Reproscreener: Leveraging LLMs for Assessing Computational Reproducibility of Machine Learning Pipelines.
Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, 2024

2022
Research Reproducibility.
Computer, 2022

2021
Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Building a Vision for Reproducibility in the Cyberinfrastructure Ecosystem: Leveraging Community Efforts.
Supercomput. Front. Innov., 2020

The data science life cycle: a disciplined approach to advancing data science as a science.
Commun. ACM, 2020

Understanding Reproducibility and Characteristics of Flaky Tests Through Test Reruns in Java Projects.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Beyond Open Data: A Model for Linking Digital Artifacts to Enable Reproducibility of Scientific Claims.
Proceedings of the 3rd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2020

2019
Computing environments for reproducibility: Capturing the "Whole Tale".
Future Gener. Comput. Syst., 2019

Ambitious Data Science Can Be Painless.
CoRR, 2019

Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform.
Proceedings of the Parallel Computing: Technology Trends, 2019

Scientific Tests and Continuous Integration Strategies to Enhance Reproducibility in the Scientific Software Context.
Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Initial Thoughts on Cybersecurity And Reproducibility.
Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Implementing Computational Reproducibility in the Whole Tale Environment.
Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses.
Proceedings of the 15th International Conference on eScience, 2019

Open access to research artifacts: Implementing the next generation data management plan.
Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019

2018
An empirical analysis of journal policy effectiveness for computational reproducibility.
Proc. Natl. Acad. Sci. USA, 2018

Realizing the potential of data science.
Commun. ACM, 2018

Reproducibility in computational and data-enabled science.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

AIM: An Abstraction for Improving Machine Learning Prediction.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
Four simple recommendations to encourage best practices in research software.
F1000Research, 2017

2016
Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments.
CoRR, 2016

Making massive computational experiments painless.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
ResearchCompendia.org: Cyberinfrastructure for Reproducibility and Collaboration in Computational Science.
Comput. Sci. Eng., 2015

2014
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE.
CoRR, 2014

2012
Reproducible Research for Scientific Computing: Tools and Strategies for Changing the Culture.
Comput. Sci. Eng., 2012

RunMyCode.org: A novel dissemination and collaboration platform for executing published computational results.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

2010
Reproducibility of Computational Results: Opening Code and Data.
Proceedings of the IASSIST 2010, 2010

2009
The Legal Framework for Reproducible Scientific Research: Licensing and Copyright.
Comput. Sci. Eng., 2009

Reproducible Research in Computational Harmonic Analysis.
Comput. Sci. Eng., 2009

A global empirical evaluation of new communication technology use and democratic tendency.
Proceedings of the 2009 International Conference on Information and Communication Technologies and Development, 2009

2006
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Multiscale Representations for Manifold-Valued Data.
Multiscale Model. Simul., 2005

2003
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003


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