"Liminal efficiency for AI general models: investigating compression ..."

Volodymyr Kysil et al. (2025)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2025-08-18

- view
  - electronic edition @ ceur-ws.org (open access)
- export record
  dblp key:
  - conf/intelitsis/KysilDKHZ25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/intelitsis/KysilDKHZ25
Volodymyr Kysil, Olga Drachuk, Anatolii Korol, Valentyna Hnenna, Elena Zaitseva:
Liminal efficiency for AI general models: investigating compression techniques for maximized performance in the glaucoma's diagnosis and prognosis 156-166. IntelITSIS 2025: 156-166

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.