LabCompass

Jim Davis

Engineering · The Ohio State University

Established · publishing since 1984

Publications

41

Citations

1,230

Est. group size

Recurring co-author estimate

Active years

42

Publishing since 1984

Research summary
AI-generated

Jim Davis works on machine learning topics such as image classification, knowledge distillation (transferring knowledge from large models to smaller ones), model calibration and uncertainty ('knowing when a model doesn't know'), and hierarchical/reject-option classification. His work also touches on applying these methods to smart manufacturing and satellite imagery analysis. Prospective students would likely engage with practical deep learning research addressing model robustness, efficiency, and reliability.

Knowledge distillation and model compressionClassification with uncertainty and confidence estimationHierarchical and open-set classificationDeep learning for smart manufacturing systemsSatellite imagery analysis and remote sensing

Publication output has fluctuated over the last decade with a notable dip in 2020 and 2023, but has generally remained steady with a peak of 6 papers in 2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 2 publications172018: 3 publications182019: 3 publications19202021: 5 publications212022: 3 publications222023: 1 publication232024: 6 publications6242025: 2 publications2526
Publishes in
  • arXiv (Cornell University)×7
  • Lecture notes in computer science×4
  • Elsevier eBooks×2
  • Machine Vision and Applications×1
  • Journal of Research of the National Institute of Standards and Technology×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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