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Mark S. Veillette

2 papers hereh-index 215 citations6 works total

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

author position
  • first author1
  • middle author1

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

fields
  • cs.AI1
  • physics.ao-ph1

identity via Semantic Scholar / OpenAlex

most citedA Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2025

Advancing AI Challenges for the United States Department of the Air Force

Christian Prothmann, Vijay Gadepally, Jeremy Kepner +35

The DAF-MIT AI Accelerator is a collaboration between the United States Department of the Air Force (DAF) and the Massachusetts Institute of Technology (MIT). This program pioneers…

physics.ao-ph2024★ 1 cited

A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data

Mark S. Veillette, James M. Kurdzo, Phillip M. Stepanian +3

Weather radar is the primary tool used by forecasters to detect and warn for tornadoes in near-real time. In order to assist forecasters in warning the public, several algorithms h…

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