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