Victoria Stodden

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

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning.

Yantong Zheng, Victoria Stodden

Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, 2024

Reproscreener: Leveraging LLMs for Assessing Computational Reproducibility of Machine Learning Pipelines.

Adhithya Bhaskar, Victoria Stodden

Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, 2024

2022

Research Reproducibility.

Manish Parashar, Michael A. Heroux, Victoria Stodden

Computer, 2022

2021

Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications.

Peilun Zhang, Yanjie Jiang, Anjiang Wei, Victoria Stodden, Darko Marinov, August Shi

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.

Dylan Chapp, Victoria Stodden, Michela Taufer

Supercomput. Front. Innov., 2020

The data science life cycle: a disciplined approach to advancing data science as a science.

Victoria Stodden

Commun. ACM, 2020

Understanding Reproducibility and Characteristics of Flaky Tests Through Test Reruns in Java Projects.

Wing Lam, Stefan Winter, Angello Astorga, Victoria Stodden, Darko Marinov

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.

Victoria Stodden

Proceedings of the 3rd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2020

2019

Computing environments for reproducibility: Capturing the "Whole Tale".

Adam Brinckman, Kyle Chard, Niall Gaffney, Mihael Hategan, Matthew B. Jones, Kacper Kowalik, Sivakumar Kulasekaran, Bertram Ludäscher, Bryce D. Mecum, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Kandace Turner

Future Gener. Comput. Syst., 2019

Ambitious Data Science Can Be Painless.

Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David L. Donoho

CoRR, 2019

Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform.

Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis

Proceedings of the Parallel Computing: Technology Trends, 2019

Scientific Tests and Continuous Integration Strategies to Enhance Reproducibility in the Scientific Software Context.

Matthew Krafczyk, August Shi, Adhithya Bhaskar, Darko Marinov, Victoria Stodden

Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Initial Thoughts on Cybersecurity And Reproducibility.

Ewa Deelman, Victoria Stodden, Michela Taufer, Von Welch

Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Implementing Computational Reproducibility in the Whole Tale Environment.

Kyle Chard, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Craig Willis

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.

Kyle Chard, Thomas Thelen, Matthew J. Turk, Craig Willis, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor

Proceedings of the 15th International Conference on eScience, 2019

Open access to research artifacts: Implementing the next generation data management plan.

Victoria Stodden, Vicki Ferrini, Margaret J. Gabanyi, Kerstin A. Lehnert, John Morton, Helen M. Berman

Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019

2018

An empirical analysis of journal policy effectiveness for computational reproducibility.

Victoria Stodden, Jennifer Seiler, Zhaokun Ma

Proc. Natl. Acad. Sci. USA, 2018

Realizing the potential of data science.

Francine Berman, Rob A. Rutenbar, Brent Hailpern, Henrik I. Christensen, Susan B. Davidson, Deborah Estrin, Michael J. Franklin, Margaret Martonosi, Padma Raghavan, Victoria Stodden, Alexander S. Szalay

Commun. ACM, 2018

Reproducibility in computational and data-enabled science.

Victoria Stodden

Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

AIM: An Abstraction for Improving Machine Learning Prediction.

Victoria Stodden, Xiaomian Wu, Vanessa V. Sochat

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Four simple recommendations to encourage best practices in research software.

Rafael C. Jiménez, Mateusz Kuzak, Monther Alhamdoosh, Michelle Barker, Bérénice Batut, Mikael Borg, Salvador Capella-Gutiérrez, Neil P. Chue Hong, Martin Cook, Manuel Corpas, Madison Flannery, Leyla J. García, Josep Lluis Gelpí, Simon L. Gladman, Carole A. Goble, Montserrat González Ferreiro, Alejandra N. González-Beltrán, Philippa C. Griffin, Björn A. Grüning, Jonas Hagberg, Petr Holub, Rob W. W. Hooft, Jon C. Ison, Daniel S. Katz, Brane Leskosek, Federico López-Gómez, Luis J. Oliveira, David Mellor, Rowland Mosbergen, Nicola J. Mulder, Yasset Pérez-Riverol, Robert Pergl, Horst Pichler, Bernard J. Pope, Ferran Sanz, Maria Victoria Schneider, Victoria Stodden, Radoslaw Suchecki, Radka Svobodová Vareková, Harry-Anton Talvik, Ilian T. Todorov, Andrew E. Treloar, Sonika Tyagi, Maarten van Gompel, Daniel Vaughan, Allegra Via, Xiaochuan Wang, Nathan S. Watson-Haigh, Steve Crouch

F1000Research, 2017

2016

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

Bertram Ludäscher, Kyle Chard, Niall Gaffney, Matthew B. Jones, Jaroslaw Nabrzyski, Victoria Stodden, Matthew J. Turk

CoRR, 2016

Making massive computational experiments painless.

Hatef Monajemi, David L. Donoho, Victoria Stodden

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.

Victoria Stodden, Sheila Miguez, Jennifer Seiler

Comput. Sci. Eng., 2015

2014

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

Doug James, Nancy Wilkins-Diehr, Victoria Stodden, Dirk Colbry, Carlos Rosales, Mark R. Fahey, Justin Shi, Rafael Ferreira da Silva, Kyo Lee, Ralph Roskies, Laurence Loewe, Susan Lindsey, Rob Kooper, Lorena A. Barba, David H. Bailey, Jonathan M. Borwein, Óscar Corcho, Ewa Deelman, Michael C. Dietze, Benjamin Gilbert, Jan Harkes, Seth Keele, Praveen Kumar, Jong Lee, Erika Linke, Richard Marciano, Luigi Marini, Chris Mattmann, Dave Mattson, Kenton McHenry, Robert T. McLay, Sheila Miguez, Barbara S. Minsker, María S. Pérez-Hernández, Dan Ryan, Mats Rynge, Idafen Santana-Pérez, Mahadev Satyanarayanan, Gloriana St. Clair, Keith Webster, Eivind Hovig, Daniel S. Katz, Sophie Kay, Geir Kjetil Sandve, David Skinner, Gabrielle Allen, John Cazes, Kym Won Cho, Jim Fonseca, Lorraine J. Hwang, Lars Koesterke, Pragnesh Patel, Line Pouchard, Edward Seidel, Isuru Suriarachchi

CoRR, 2014

2012

Reproducible Research for Scientific Computing: Tools and Strategies for Changing the Culture.

Victoria Stodden, Randall J. LeVeque, Ian Mitchell

Comput. Sci. Eng., 2012

RunMyCode.org: A novel dissemination and collaboration platform for executing published computational results.

Victoria Stodden, Christophe Hurlin, Christophe Pérignon

Proceedings of the 8th IEEE International Conference on E-Science, 2012

2010

Reproducibility of Computational Results: Opening Code and Data.

Victoria Stodden

Proceedings of the IASSIST 2010, 2010

2009

The Legal Framework for Reproducible Scientific Research: Licensing and Copyright.

Victoria Stodden

Comput. Sci. Eng., 2009

Reproducible Research in Computational Harmonic Analysis.

David L. Donoho, Arian Maleki, Inam Ur Rahman, Morteza Shahram, Victoria Stodden

Comput. Sci. Eng., 2009

A global empirical evaluation of new communication technology use and democratic tendency.

Victoria Stodden, Patrick Meier

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.

David L. Donoho, Victoria Stodden

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Multiscale Representations for Manifold-Valued Data.

Inam Ur Rahman, Iddo Drori, Victoria Stodden, David L. Donoho, Peter Schröder

Multiscale Model. Simul., 2005

2003

When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?

David L. Donoho, Victoria Stodden

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003