◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Kirby

3 papers hereh-index 4101 citations5 works total

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • hep-ex1
  • physics.ins-det1
same name
  • M. Kirby — 202 papers, h 59
  • M. Kirby — 120 papers
  • M. Kirby — 65 papers, h 17
  • M. Kirby — 27 papers, h 22
  • M. Kirby — 11 papers, h 14
  • M. Kirby — 6 papers

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

most citedSearch for an anomalous excess of charged-current quasi-elastic νe​ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction

44 citations · 72 across the 3 of their papers we have counts for

collaborators

3 papers

hep-ex2021★ 44 cited

Search for an anomalous excess of charged-current quasi-elastic νe​ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction

MicroBooNE collaboration, P. Abratenko, R. An +185

We present a measurement of the νe​-interaction rate in the MicroBooNE detector that addresses the observed MiniBooNE anomalous low-energy excess (LEE). The approach taken isolat…

physics.ins-det2021★ 27 cited

Wire-Cell 3D Pattern Recognition Techniques for Neutrino Event Reconstruction in Large LArTPCs: Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation

MicroBooNE collaboration, P. Abratenko, R. An +185

Wire-Cell is a 3D event reconstruction package for liquid argon time projection chambers. Through geometry, time, and drifted charge from multiple readout wire planes, 3D space poi…

cs.CV2020★ 1 cited

Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors

Zhe Jiang, Marcus Stephen Kirby, Wenchong He +1

In recent years, deep learning techniques (e.g., U-Net, DeepLab) have achieved tremendous success in image segmentation. The performance of these models heavily relies on high-qual…

◍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.