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researcher

David R. Harrison

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • physics.ao-ph1

identity via Semantic Scholar / OpenAlex

most citedA Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning

34 citations · 59 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 34 cited

A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning

Randy J. Chase, David R. Harrison, Gary Lackmann +1

Over the past decade the use of machine learning in meteorology has grown rapidly. Specifically neural networks and deep learning have been used at an unprecedented rate. In order…

physics.ao-ph2022★ 25 cited

A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning

Randy J. Chase, David R. Harrison, Amanda Burke +2

Recently, the use of machine learning in meteorology has increased greatly. While many machine learning methods are not new, university classes on machine learning are largely unav…

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