Victoria Stodden

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 25

Top Topics

Relative Strengths And Weaknesses

Computing Environments

Top Venues

Publications

Adhithya Bhaskar, Victoria Stodden
Reproscreener: Leveraging LLMs for Assessing Computational Reproducibility of Machine Learning Pipelines. ACM-REP (2024)
Yantong Zheng, Victoria Stodden
The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning. ACM-REP (2024)
Manish Parashar, Michael A. Heroux, Victoria Stodden
Research Reproducibility. Computer 55 (8) (2022)
Peilun Zhang, Yanjie Jiang, Anjiang Wei, Victoria Stodden, Darko Marinov, August Shi
Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications. ICSE (2021)
Wing Lam, Stefan Winter, Angello Astorga, Victoria Stodden, Darko Marinov
Understanding Reproducibility and Characteristics of Flaky Tests Through Test Reruns in Java Projects. ISSRE (2020)
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
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform. CoRR (2020)
Victoria Stodden
Beyond Open Data: A Model for Linking Digital Artifacts to Enable Reproducibility of Scientific Claims. P-RECS@HPDC (2020)
Dylan Chapp, Victoria Stodden, Michela Taufer
Building a Vision for Reproducibility in the Cyberinfrastructure Ecosystem: Leveraging Community Efforts. Supercomput. Front. Innov. 7 (1) (2020)
Victoria Stodden
The data science life cycle: a disciplined approach to advancing data science as a science. Commun. ACM 63 (7) (2020)
Victoria Stodden, Vicki Ferrini, Margaret J. Gabanyi, Kerstin Lehnert, John Morton, Helen M. Berman
Open access to research artifacts: Implementing the next generation data management plan. ASIST (2019)
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
Computing environments for reproducibility: Capturing the "Whole Tale". Future Gener. Comput. Syst. 94 (2019)
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
Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses. eScience (2019)
Kyle Chard, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Craig Willis
Implementing Computational Reproducibility in the Whole Tale Environment. P-RECS@HPDC (2019)
Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David L. Donoho
Ambitious Data Science Can Be Painless. CoRR (2019)
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
Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform. PARCO (2019)
Matthew Krafczyk, August Shi, Adhithya Bhaskar, Darko Marinov, Victoria Stodden
Scientific Tests and Continuous Integration Strategies to Enhance Reproducibility in the Scientific Software Context. P-RECS@HPDC (2019)
Ewa Deelman, Victoria Stodden, Michela Taufer, Von Welch
Initial Thoughts on Cybersecurity And Reproducibility. P-RECS@HPDC (2019)
Francine Berman, Rob A. Rutenbar, Brent Hailpern, Henrik Christensen, Susan Davidson, Deborah Estrin, Michael J. Franklin, Margaret Martonosi, Padma Raghavan, Victoria Stodden, Alexander S. Szalay
Realizing the potential of data science. Commun. ACM 61 (4) (2018)
Victoria Stodden
Reproducibility in computational and data-enabled science. HPDC (2018)
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
Computing Environments for Reproducibility: Capturing the "Whole Tale". CoRR (2018)
Victoria Stodden, Xiaomian Wu, Vanessa V. Sochat
AIM: An Abstraction for Improving Machine Learning Prediction. DSW (2018)
Victoria Stodden, Jennifer Seiler, Zhaokun Ma
An empirical analysis of journal policy effectiveness for computational reproducibility. Proc. Natl. Acad. Sci. USA 115 (11) (2018)
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 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
Four simple recommendations to encourage best practices in research software. F1000Research 6 (2017)
Hatef Monajemi, David L. Donoho, Victoria Stodden
Making massive computational experiments painless. IEEE BigData (2016)
Bertram Ludäscher, Kyle Chard, Niall Gaffney, Matthew B. Jones, Jaroslaw Nabrzyski, Victoria Stodden, Matthew J. Turk
Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments. CoRR (2016)
Victoria Stodden, Sheila Miguez, Jennifer Seiler
ResearchCompendia.org: Cyberinfrastructure for Reproducibility and Collaboration in Computational Science. Comput. Sci. Eng. 17 (1) (2015)
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
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE. CoRR (2014)
Victoria Stodden, Christophe Hurlin, Christophe Perignon
RunMyCode.org: A novel dissemination and collaboration platform for executing published computational results. eScience (2012)
Victoria Stodden, Randall J. LeVeque, Ian Mitchell
Reproducible Research for Scientific Computing: Tools and Strategies for Changing the Culture. Comput. Sci. Eng. 14 (4) (2012)
Victoria Stodden
Reproducibility of Computational Results: Opening Code and Data. IASSIST (2010)
Victoria Stodden, Patrick Meier
A global empirical evaluation of new communication technology use and democratic tendency. ICTD (2009)
David L. Donoho, Arian Maleki, Inam Ur Rahman, Morteza Shahram, Victoria Stodden
Reproducible Research in Computational Harmonic Analysis. Comput. Sci. Eng. 11 (1) (2009)
Victoria Stodden
The Legal Framework for Reproducible Scientific Research: Licensing and Copyright. Comput. Sci. Eng. 11 (1) (2009)
David L. Donoho, Victoria Stodden
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations. IJCNN (2006)
Inam Ur Rahman, Iddo Drori, Victoria Stodden, David L. Donoho, Peter Schröder
Multiscale Representations for Manifold-Valued Data. Multiscale Model. Simul. 4 (4) (2005)
David L. Donoho, Victoria Stodden
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? NIPS (2003)