Running Experiments with Confidence and Sanity
- ,
- Matteo Ceccarello
- ,
- University of Padova
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 18-32Publication milestones
- Published - 2020
Publication status
Published - 2020
Publisher
Springer, United States, GermanyPublication IDs
- Scopus: 85093854900
Host publication title
International Conference on Similarity Search and ApplicationsAbstract
Analyzing data from large experimental suites is a daily task for anyone doing experimental algorithmics. In this paper we report on several approaches we tried for this seemingly mundane task in a similarity search setting, reflecting on the challenges it poses.
We conclude by proposing a workflow, which can be implemented using several tools, that allows to analyze experimental data with confidence.
The extended version of this paper and the support code are provided at https://github.com/Cecca/running-experiments.
We conclude by proposing a workflow, which can be implemented using several tools, that allows to analyze experimental data with confidence.
The extended version of this paper and the support code are provided at https://github.com/Cecca/running-experiments.
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Citations
4
Captures
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Access to documents
Accepted author manuscript, 592.05 KB
Related Event
Title
International Conference on Similarity Search and Applications
Event type
ConferenceDegree of recognition
International eventDate
01/10/2025 - 03/10/2025Location
ReykjavikIceland