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Publication search results
found 28 matches
- 2024
- Timo Breuer
, Maria Maistro:
Toward Evaluating the Reproducibility of Information Retrieval Systems with Simulated Users. ACM-REP 2024 - Mathieu Acher, Benoît Combemale, Georges Aaron Randrianaina, Jean-Marc Jézéquel:
Embracing Deep Variability For Reproducibility and Replicability. ACM-REP 2024 - Michael Arbel, Alexandre Zouaoui:
MLXP: A framework for conducting replicable experiments in Python. ACM-REP 2024 - Adhithya Bhaskar, Victoria Stodden:
Reproscreener: Leveraging LLMs for Assessing Computational Reproducibility of Machine Learning Pipelines. ACM-REP 2024 - Nichole Boufford, Joseph Wonsil, Adam Craig Pocock, Jack Sullivan, Margo I. Seltzer, Thomas Pasquier:
Computational Experiment Comprehension using Provenance Summarization. ACM-REP 2024 - Lázaro Costa, Susana Barbosa, Jácome Cunha:
Evaluating Tools for Enhancing Reproducibility in Computational Scientific Experiments. ACM-REP 2024 - Ludovic Courtès, Timothy Sample, Stefano Zacchiroli, Simon Tournier:
Source Code Archiving to the Rescue of Reproducible Deployment. ACM-REP 2024 - Christian Gilbertson, Miranda Mundt, Joshua B. Teves, Simone Toribio, Reed Milewicz:
Towards Evidence-Based Software Quality Practices for Reproducibility: Practices and Aligned Software Qualities. ACM-REP 2024 - Samuel Grayson, Faustino Aguilar, Reed Milewicz, Daniel S. Katz, Darko Marinov:
A benchmark suite and performance analysis of user-space provenance collectors. ACM-REP 2024 - Quentin Guilloteau, Florina M. Ciorba, Millian Poquet, Dorian Goepp, Olivier Richard:
Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023. ACM-REP 2024 - Timothée Mathieu, Philippe Preux:
Statistical comparison in empirical computer science with minimal computation usage. ACM-REP 2024 - Rochana R. Obadage, Sarah Michele Rajtmajer, Jian Wu:
SHORT: Can citations tell us about a paper's reproducibility? A case study of machine learning papers. ACM-REP 2024 - Gaël Vila, Emmanuel Medernach, Inés Gonzalez Pepe, Axel Bonnet, Yohan Chatelain, Michaël Sdika, Tristan Glatard, Sorina Camarasu-Pop:
The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. ACM-REP 2024 - Guineng Zheng, Robert Ricci, Vivek Srikumar:
LogFlux: A Software Suite for Replicating Results in Automated Log Parsing. ACM-REP 2024 - Yantong Zheng, Victoria Stodden:
The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning. ACM-REP 2024 - Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, ACM REP 2024, Rennes, France, June 18-20, 2024. ACM 2024 [contents]
- 2023
- Fraida Fund:
We Need More Reproducibility Content Across the Computer Science Curriculum. ACM-REP 2023: 97-101 - Samuel Grayson, Darko Marinov, Daniel S. Katz, Reed Milewicz:
Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core Registries. ACM-REP 2023: 74-84 - Ben Greenman:
GTP Benchmarks for Gradual Typing Performance. ACM-REP 2023: 102-114 - 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. ACM-REP 2023: 37-61 - Romain Lefeuvre, Jessie Galasso, Benoît Combemale, Houari A. Sahraoui, Stefano Zacchiroli:
Fingerprinting and Building Large Reproducible Datasets. ACM-REP 2023: 27-36 - Reed Milewicz, Miranda Mundt:
Towards Evidence-Based Software Quality Practices for Reproducibility: Preliminary Results and Research Directions. ACM-REP 2023: 85-88 - Edward Raff:
Does the Market of Citations Reward Reproducible Work? ACM-REP 2023: 89-96 - Edward Raff, Andrew L. Farris:
A Siren Song of Open Source Reproducibility, Examples from Machine Learning. ACM-REP 2023: 115-120 - Daniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu:
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments. ACM-REP 2023: 62-73 - Mahadev Satyanarayanan, Jan Harkes, James Blakley:
Towards Reproducible Execution of Closed-Source Applications from Internet Archives. ACM-REP 2023: 15-26 - Joseph Wonsil, Jack Sullivan, Margo I. Seltzer, Adam Craig Pocock:
Integrated Reproducibility with Self-describing Machine Learning Models. ACM-REP 2023: 1-14 - Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, ACM-REP 2023, Santa Cruz, CA, USA, June 27-29, 2023. ACM 2023 [contents]
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