Machine Learning Techniques and Applications
ORAL · F02 · ID: 3650812
Presentations
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Machine Learning Parameterization of Spin Structure Functions
ORAL
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Presenters
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Darren W Upton
Old Dominion University
Authors
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Darren W Upton
Old Dominion University
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Theoretical and Machine Learning Methods in Extracting Spin-Lattice Relaxation for Ammonia
ORAL
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Presenters
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Shane Clements
University of Virginia
Authors
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Shane Clements
University of Virginia
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Dustin Keller
University of Virginia
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Machine Learning Approaches for ALERT Track Reconstruction at Jefferson Lab
ORAL
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Presenters
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Mathieu Ouillon
Mississippi State University
Authors
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Mathieu Ouillon
Mississippi State University
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Machine Learning Extraction of Tensor Polarization in Spin-1 Observables
ORAL
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Presenters
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Devin Allen Seay
University of Virginia
Authors
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Devin Allen Seay
University of Virginia
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Dustin Keller
University of Virginia
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Ishara P Fernando
University of Virginia
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Unpolarized TMD extraction with Deep Neural Networks
ORAL
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Presenters
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Dustin M Keller
University of Virginia
Authors
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Dustin M Keller
University of Virginia
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Ishara Fernando
University of Virginia
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Machine Learning and Image Processing for Automatic Visual Inspection
ORAL
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Presenters
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Emily Centamore
University of Alabama-Tuscaloosa, University of Alabama
Authors
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Emily Centamore
University of Alabama-Tuscaloosa, University of Alabama
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Chad Leino
University of Alabama
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Nathan A Nguyen
University of Alabama
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Thanh Nguyen
University of Alabama
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Eric Allen Friss Reinhardt
University of Alabama
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Jesse Webb
Louisiana Tech University
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Mateo Lisondo Di Tada
University of Puerto Rico at Mayagüez
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Bhim B Bam
University of Alabama
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Guillermo Fidalgo
University of Alabama
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Sergei V Gleyzer
University of Alabama
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Emanuele Usai
University of Alabama
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