Elias Bassani
Scholar

Elias Bassani

Google Scholar ID: hjPZlPwAAAAJ
Joint Research Centre, European Commission
AI SafetyGuardrail ModelsInformation Retrieval
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Citations & Impact
All-time
Citations
285
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Developed several Python libraries such as ranx (ranking evaluation), retriv (search engine), indxr (file line indexing tool), GuardBench (model evaluation library), multipipe (multiprocessing pipeline tool), and unified-io (unified I/O interface). Indxr received an honorable mention for best demo at ECIR 2024.
Research Experience
  • Working at the Joint Research Centre (Milan, Italy)
Education
  • Ph.D. in Computer Science
Background
  • Research interests include Neural Networks, usability, efficiency, and einsum. Enjoys using emojis.
Miscellany
  • Personal website: https://amenra.github.io/eliasbassani
  • ORCID: https://orcid.org/0000-0001-7922-2578
  • LinkedIn: in/eliasbassani
  • X (Twitter): @EliasBassani
Co-authors
0 total
Co-authors: 0 (list not available)