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Samuel Meehan
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2020 – today
- 2021
- [j1]Sudhir Malik, Samuel Meehan, Kilian Lieret, Meirin Oan Evans, Michel Hernández Villanueva, Daniel S. Katz, Graeme A. Stewart, Peter Elmer, Sizar Aziz, Matthew Bellis, Riccardo Maria Bianchi, Gianluca Bianco, Johan Sebastian Bonilla, Angela Burger, Jackson Burzynski, David Chamont, Matthew Feickert, Philipp Gadow, Bernhard Manfred Gruber, Daniel Guest, Stephan Hageboeck, Lukas Heinrich, Maximilian M. Horzela, Marc Huwiler, Clemens Lange, Konstantin Lehmann, Ke Li, Devdatta Majumder, Judita Mamuzic, Kevin Nelson, Robin Newhouse, Emery Nibigira, Scarlet Norberg, Arturo Sánchez Pineda, Mason Proffitt, Brendan Regnery, Amber Roepe, Stefan Roiser, Henry Schreiner, Oksana Shadura, Giordon Stark, Stephen Nicholas Swatman, Savannah Thais, Andrea Valassi, Stefan Wunsch, David Yakobovitch, Siqi Yuan:
Software Training in HEP. Comput. Softw. Big Sci. 5(1) (2021) - 2020
- [i2]Daniel S. Katz, Sudhir Malik, Mark S. Neubauer, Graeme Andrew Stewart, Kétévi A. Assamagan, Erin A. Becker, Neil P. Chue Hong, Ian A. Cosden, Samuel Meehan, Edward J. W. Moyse, Adrian M. Price-Whelan, Elizabeth Sexton-Kennedy, Meirin Oan Evans, Matthew Feickert, Clemens Lange, Kilian Lieret, Rob Quick, Arturo Sánchez Pineda, Christopher D. Tunnell:
Software Sustainability & High Energy Physics. CoRR abs/2010.05102 (2020)
2010 – 2019
- 2018
- [c1]Qinghan Xue, Xiaoran Wang, Samuel Meehan, Jilong Kuang, Jun Alex Gao, Mooi Choo Chuah:
Recurrent Neural Networks Based Obesity Status Prediction Using Activity Data. ICMLA 2018: 865-870 - [i1]Qinghan Xue, Xiaoran Wang, Samuel Meehan, Jilong Kuang, Alex Gao, Mooi Choo Chuah:
Recurrent Neural Networks based Obesity Status Prediction Using Activity Data. CoRR abs/1809.07828 (2018)
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