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David John Gagne

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.LG1
  • physics.ins-det1
ORCID 0000-0002-0469-2740

identity via Semantic Scholar / OpenAlex

most citedThe Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences

112 citations · 113 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2023

Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management

John S. Schreck, William Petzke, Pedro A. Jimenez +5

Monitoring the fuel moisture content (FMC) of vegetation is crucial for managing and mitigating the impact of wildland fires. The combination of in situ FMC observations with numer…

physics.ins-det2023★ 1 cited

Mimicking non-ideal instrument behavior for hologram processing using neural style translation

John S. Schreck, Matthew Hayman, Gabrielle Gantos +2

Holographic cloud probes provide unprecedented information on cloud particle density, size and position. Each laser shot captures particles within a large volume, where images can…

cs.CY2021★ 112 cited

The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences

Amy McGovern, Imme Ebert-Uphoff, David John Gagne +1

Given the growing use of Artificial Intelligence (AI) and machine learning (ML) methods across all aspects of environmental sciences, it is imperative that we initiate a discussion…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.