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ORCIDACM-REP 2023: Santa Cruz, CA, USA
- Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, ACM-REP 2023, Santa Cruz, CA, USA, June 27-29, 2023. ACM 2023
- Joseph Wonsil
, Jack Sullivan, Margo I. Seltzer, Adam Craig Pocock:
Integrated Reproducibility with Self-describing Machine Learning Models. 1-14 - Mahadev Satyanarayanan, Jan Harkes, James Blakley:
Towards Reproducible Execution of Closed-Source Applications from Internet Archives. 15-26 - Romain Lefeuvre, Jessie Galasso, Benoît Combemale, Houari A. Sahraoui, Stefano Zacchiroli:
Fingerprinting and Building Large Reproducible Datasets. 27-36 - Odd Erik Gundersen, Saeid Shamsaliei, Håkon Sletten Kjærnli, Helge Langseth:
On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness. 37-61 - Daniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu:
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments. 62-73 - Samuel Grayson, Darko Marinov, Daniel S. Katz, Reed Milewicz:
Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core Registries. 74-84 - Reed Milewicz, Miranda Mundt:
Towards Evidence-Based Software Quality Practices for Reproducibility: Preliminary Results and Research Directions. 85-88 - Edward Raff:
Does the Market of Citations Reward Reproducible Work? 89-96 - Fraida Fund:
We Need More Reproducibility Content Across the Computer Science Curriculum. 97-101 - Ben Greenman:
GTP Benchmarks for Gradual Typing Performance. 102-114 - Edward Raff, Andrew L. Farris:
A Siren Song of Open Source Reproducibility, Examples from Machine Learning. 115-120
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