◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

James Parr

5 papers hereh-index 4235 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM2
  • cs.CV1
  • cs.LG1
  • cs.SE1
same name
  • James Parr — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedTechnology Readiness Levels for Machine Learning Systems

189 citations · 210 across the 5 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CV2020★ 8 cited

SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA

Anirudh Koul, Siddha Ganju, Meher Kasam +1

Traditionally, academic labs conduct open-ended research with the primary focus on discoveries with long-term value, rather than direct products that can be deployed in the real wo…

astro-ph.IM2020★ 3 cited

Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA

Siddha Ganju, Anirudh Koul, Alexander Lavin +3

Research with AI and ML technologies lives in a variety of settings with often asynchronous goals and timelines: academic labs and government organizations pursue open-ended resear…

cs.SE2020★ 2 cited

Technology Readiness Levels for AI & ML

Alexander Lavin, Gregory Renard

The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of diligence…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.