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Technology Readiness Levels for AI & ML

Technology Readiness Levels for AI & ML

21 June 2020
Alexander Lavin
Ajay Sharma
    VLM
ArXivPDFHTML

Papers citing "Technology Readiness Levels for AI & ML"

7 / 7 papers shown
Title
Seeing the random forest through the decision trees. Supporting learning
  health systems from histopathology with machine learning models: Challenges
  and opportunities
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo Gonzalez
Ashirbani Saha
Clinton J.V. Campbell
Peyman Nejat
Cynthia Lokker
Andrew P. Norgan
33
13
0
06 Dec 2023
Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Huaming Chen
Muhammad Ali Babar
AAML
29
21
0
12 Jan 2022
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
117
355
0
04 Oct 2021
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models
  for NASA MODIS Instruments
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
Sarah Chen
Esther Cao
Anirudh Koul
Siddha Ganju
Satyarth Praveen
M. Kasam
4
2
0
13 Jun 2021
SpaceML: Distributed Open-source Research with Citizen Scientists for
  the Advancement of Space Technology for NASA
SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
Anirudh Koul
Siddha Ganju
M. Kasam
James Parr
11
4
0
19 Dec 2020
Learnings from Frontier Development Lab and SpaceML -- AI Accelerators
  for NASA and ESA
Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA
Siddha Ganju
Anirudh Koul
Alexander Lavin
J. Veitch-Michaelis
M. Kasam
James Parr
12
7
0
09 Nov 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
305
4,203
0
23 Aug 2019
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