Carl Shneider
Carl Shneider
Vahvistettu sähköpostiosoite verkkotunnuksessa cwi.nl - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Computational pan-genomics: status, promises and challenges
Briefings in bioinformatics 19 (1), 118-135, 2018
1892018
Enhanced terahertz emission from impurity compensated GaSb
R Ascázubi, C Shneider, I Wilke, R Pino, PS Dutta
Physical Review B 72 (4), 045328, 2005
872005
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
M Deudon, A Kalaitzis, I Goytom, MR Arefin, Z Lin, K Sankaran, ...
arXiv preprint arXiv:2002.06460, 2020
142020
Depolarization of synchrotron radiation in a multilayer magneto-ionic medium
C Shneider, M Haverkorn, A Fletcher, A Shukurov
Astronomy & Astrophysics 567, A82, 2014
142014
Constraining regular and turbulent magnetic field strengths in M 51 via Faraday depolarization
C Shneider, M Haverkorn, A Fletcher, A Shukurov
Astronomy & Astrophysics 568, A83, 2014
112014
The magnetized disk-halo transition region of M51
M Kierdorf, SA Mao, R Beck, A Basu, A Fletcher, C Horellou, F Tabatabaei, ...
arXiv preprint arXiv:2007.00702, 2020
62020
The data-driven future of high-energy-density physics
PW Hatfield, JA Gaffney, GJ Anderson, S Ali, L Antonelli, SB du Pree, ...
Nature 593 (7859), 351-361, 2021
42021
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics\& Losses
A Jungbluth, X Gitiaux, SA Maloney, C Shneider, PJ Wright, A Kalaitzis, ...
arXiv preprint arXiv:1911.01490, 2019
32019
sv-callers: a highly portable parallel workflow for structural variant detection in whole-genome sequence data
A Kuzniar, J Maassen, S Verhoeven, L Santuari, C Shneider, ...
PeerJ 8, e8214, 2020
12020
A Portable and Scalable Workflow for Detecting Structural Variants in Whole-Genome Sequencing Data
A Kuzniar, J Maassen, S Verhoeven, L Santuari, C Shneider, ...
2018 IEEE 14th International Conference on e-Science (e-Science), 303-304, 2018
12018
A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission
C Shneider, A Hu, AK Tiwari, MG Bobra, K Battams, J Teunissen, ...
arXiv preprint arXiv:2108.06394, 2021
2021
Cross-calibration, super-resolution, and uncertainty estimation of the conversion of MDI and GONG to HMI full-disk magnetograms using deep learning
A Munoz-Jaramillo, A Jungbluth, X Gitiaux, P Wright, C Shneider, ...
American Astronomical Society Meeting Abstracts 53 (6), 123.03, 2021
2021
BIOMARS: A Foundational High-Resolution Environmental Sensor Array
N Cabrol, LK Fenton, K Warren-Rhodes, J Hines, N Hinman, J Moersch, ...
Bulletin of the American Astronomical Society 53 (4), 349, 2021
2021
Artificial Intelligence for the Advancement of Lunar and Planetary Science and Exploration
I Varatharajan, D Angerhausen, E Antoniadou, V Bickel, M D'Amore, ...
Bulletin of the American Astronomical Society 53 (4), 222, 2021
2021
A Machine Learning Multispectral Time Series Data Set Prepared from the Solar and Heliospheric Observatory Mission
C Shneider, E Camporeale, A Hu, J Teunissen
43rd COSPAR Scientific Assembly. Held 28 January-4 February 43, 926, 2021
2021
Investigating whether machine learning alone can predict solar wind parameters at L1 from solar images
J Teunissen, A Hu, C Shneider, A Tiwari, E Camporeale
AGU Fall Meeting Abstracts 2020, NG004-0027, 2020
2020
Super-resolution of Solar Magnetograms
PJ Wright, X Gitiaux, A Jungbluth, S Maloney, C Shneider, A Kalaitzis, ...
AGU Fall Meeting Abstracts 2020, SH044-0001, 2020
2020
Virtual Alumni Talk
C Shneider
2020
BIOMARS: A Foundational High-Resolution Environmental Sensor Array: Mission Concept White Paper submitted to the Planetary Science and Astrobiology Decadal Survey
C Shneider
2020
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
S Sodhani, MS Jaiswal, L Baker, K Sinha, C Shneider, P Henderson, ...
arXiv preprint arXiv:2007.10546, 2020
2020
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Artikkelit 1–20