StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production
- DOI
- 10.1109/icse-seip58684.2023.00017
- Published
- 2023
- Container
- Not recorded
- Publisher
- IEEE
- Open access
- no
Credibility signals
limited evidence Score 49/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/icse-seip58684.2023.00017,
title = {StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production},
author = {Mariam Barry and Albert Bifet and Jean-Luc Billy},
year = {2023},
doi = {10.1109/icse-seip58684.2023.00017},
url = {https://doi.org/10.1109/icse-seip58684.2023.00017}
}RIS
TY - JOUR TI - StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production AU - Mariam Barry AU - Albert Bifet AU - Jean-Luc Billy PY - 2023 DO - 10.1109/icse-seip58684.2023.00017 UR - https://doi.org/10.1109/icse-seip58684.2023.00017 ER -
APA
Barry, M., Bifet, A., & Billy, J. (2023). StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production. https://doi.org/10.1109/icse-seip58684.2023.00017
Source records
- hal · retrieved 2026-09-26T01:57:34.314Z