E. L. Martin

According to our database, E. L. Martin authored at least 2 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines.

Esteban León, Aobo Li, Miguel Angel Bahena Schott, B. Bos, M. Busch, J. R. Chapman, G. L. Duran, J. Gruszko, R. Henning, E. L. Martin, John F. Wilkerson

Mach. Learn. Sci. Technol., 2025

2022

Learning Physics from the Machine: An Interpretable Boosted Decision Tree Analysis for the Majorana Demonstrator.

I. J. Arnquist, F. T. Avignone III, Alexander Stepanovich Barabash, C. J. Barton, K. H. Bhimani, E. Blalock, B. Bos, M. Busch, M. Buuck, Thomas S. Caldwell, Y.-D. Chan, C. D. Christofferson, P.-H. Chu, M. L. Clark, C. Cuesta, J. A. Detwiler, Yu. Efremenko, S. R. Elliott, G. K. Giovanetti, M. P. Green, J. Gruszko, I. S. Guinn, V. E. Guiseppe, C. R. Haufe, R. Henning, D. Hervas Aguilar, E. W. Hoppe, A. Hostiuc, M. F. Kidd, I. Kim, Richard T. Kouzes, T. E. Lannen V, A. Li, J. M. Lopez-Castano, E. L. Martin, R. D. Martin, R. Massarczyk, S. J. Meijer, T. K. Oli, G. Othman, Laxman Sharma Paudel, Walter Pettus, A. W. P. Poon, D. C. Radford, A. L. Reine, K. Rielage, N. W. Ruof, D. C. Schaper, D. Tedeschi, R. L. Varner, S. Vasilyev, John F. Wilkerson, Clint Wiseman, W. Xu, C.-H. Yu

CoRR, 2022