home / team-science / paper

paper: doi:10.1016/j.asoc.2023.110757

Ingested works. lom_id is the stable key (doi: or arxiv:). OpenAlex/S2/arXiv ids when found; never fabricated.

Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

This data as json

lom_id doi openalex s2_paper_id arxiv pmid pmcid acl title year venue primary_field primary_field_id oa_url ingested_ts source
doi:10.1016/j.asoc.2023.110757 10.1016/j.asoc.2023.110757 W4385830668           Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness 2023 Applied Soft Computing Computer Science https://openalex.org/fields/17 https://hdl.handle.net/10481/86661 2026-09-02T02:37:09Z openalex

Links from other tables

  • 0 rows from about_lom_id in claim
  • 0 rows from to_lom_id in citation_edge
  • 1 row from from_lom_id in citation_edge
  • 0 rows from paper_id in references_checked
  • 5 rows from lom_id in paper_author
Powered by Datasette · Queries took 0.519ms · Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository