Author

Azizah Conerly

North Carolina State UniversityORCID 0009-0001-4185-5641Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Zoology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:imaging· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin RoseniD· 1 shared Scott A. SchneideriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperZoology

Benjamin RosenORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

ZoologybioRxivPreprintOct 22, 2026

A pilot computer-vision model trained to identify slide-mounted scale insect pests from the family Rhizoecidae

Azizah Conerly, Benjamin Rosen, Scott A. Schneider

The paper trains a computer-vision model to identify 16 species of root mealybugs using high-resolution images from museum specimens, achieving 79% F1 score.

DOI 10.64898/2026.10.16.759574

imagingdeep learning

𝕏 PostBluesky