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KBR (United States)

United States

10 papers here536 citations across 10
fields
  • quant-ph2
  • astro-ph.IM1
  • astro-ph.SR1
  • cond-mat.mes-hall1
  • cond-mat.str-el1
  • cs.LG1
  • cs.SE1
  • physics.bio-ph1
ROR 01g1xae87OpenAlex

affiliations via OpenAlex

output
20192024
most citedLimitations in Predicting Radiation-Induced Pharmaceutical Instability during Long-Duration Spaceflight

273 citations

researchers with a paper here
  • C. Stevens2 · h 7
  • Deep Jariwala2 · h 47
  • J. Hendrickson2 profiles2 · h 26
  • Aaron Dutle1 · h 14
  • A. El-Azab1
  • Alwyn E. Goodloe1 · h 11
  • Anastasia Mavridou1 · h 18
  • Aofeng Bai1
  • Beatriz Sánchez‐Cano1
  • B. Sohn1 · h 33
  • C. Baluta1
  • C. Cardoso1
collaborating institutions
  • Ames Research CenterUS2 papers
  • Goddard Space Flight CenterUS2 papers
  • University of Maryland, College ParkUS2 papers
  • University of PennsylvaniaUS2 papers
  • Wright-Patterson Air Force BaseUS2 papers
  • Adnet Systems (United States)US1 paper
  • Austrian Academy of SciencesAT1 paper
  • Baylor College of MedicineUS1 paper
  • Bowling Green State UniversityUS1 paper
  • Columbia UniversityUS1 paper
  • European Space Research and Technology CentreNL1 paper
  • GeoControl Systems (United States)US1 paper
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2021★ 3 cited

QuantifyML: How Good is my Machine Learning Model?

Muhammad Usman, Divya Gopinath, Corina S. Păsăreanu

The efficacy of machine learning models is typically determined by computing their accuracy on test data sets. However, this may often be misleading, since the test data may not be…

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