A new task: deriving semantic class targets for the physical sciences

Micah Bowles, Hongming Tang, Eleni Vardoulaki, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal

Research output: Contribution to conferencePaperpeer-review

Abstract

We define deriving semantic class targets as a novel multi-modal task. By doing so, we aim to improve classification schemes in the physical sciences which can be severely abstracted and obfuscating. We address this task for upcoming radio astronomy surveys and present the derived semantic radio galaxy morphology class targets.
Original languageEnglish
Number of pages6
Publication statusPublished - 26 Oct 2022
EventAdvances in Neural Information Processing Systems - New Orleans, United States
Duration: 10 Dec 202316 Dec 2023

Conference

ConferenceAdvances in Neural Information Processing Systems
Abbreviated titleNIPS
Country/TerritoryUnited States
CityNew Orleans
Period10/12/2316/12/23

Keywords

  • astro-ph.IM
  • cs.CL

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