Task Relatedness and Calibration Benefits in Multi-Task Learning for Antimicrobial Resistance Prediction.

Mo F, Xu Y, Song Z

DOI: 10.1093/cid/ciag230
Published: 2026 Sep 2
Container: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1093/cid/ciag230,
  title = {Task Relatedness and Calibration Benefits in Multi-Task Learning for Antimicrobial Resistance Prediction.},
  author = {Mo F and Xu Y and Song Z},
  year = {2026},
  journal = {Clinical infectious diseases : an official publication of the Infectious Diseases Society of America},
  doi = {10.1093/cid/ciag230},
  url = {https://doi.org/10.1093/cid/ciag230}
}

RIS

TY  - JOUR
TI  - Task Relatedness and Calibration Benefits in Multi-Task Learning for Antimicrobial Resistance Prediction.
AU  - Mo F
AU  - Xu Y
AU  - Song Z
PY  - 2026
JO  - Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
DO  - 10.1093/cid/ciag230
UR  - https://doi.org/10.1093/cid/ciag230
ER  -

APA

F, M., Y, X., & Z, S. (2026). Task Relatedness and Calibration Benefits in Multi-Task Learning for Antimicrobial Resistance Prediction.. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America. https://doi.org/10.1093/cid/ciag230

Source records

pubmed · retrieved 2026-09-26T09:13:24.909Z
europe-pmc · retrieved 2026-09-26T09:13:24.919Z