Victoria Stodden

36 papers A* 1A 2B 1C 1Journal 17Unranked 14

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