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ORCIDNicole-Jeanne Schlegel
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2020 – today
- 2024
[c5]Tolulope Ale, Vandana P. Janeja, Nicole-Jeanne Schlegel:
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold. IGARSS 2024: 8692-8696- [i1]Tolulope Ale, Nicole-Jeanne Schlegel, Vandana P. Janeja:
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold. CoRR abs/2407.10042 (2024) - 2023
- [c4]Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang:
Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. ICMLA 2023: 689-696 - [c3]Alex Akins, Alan B. Tanner, Nicole-Jeanne Schlegel, Andreas Colliander, Igor Yanovsky, Sidharth Misra, Shannon T. Brown:
Building Seasonal Maps of Antarctica's Temperature with Repeat-Pass Microwave Interferometry. IGARSS 2023: 352-355 - [c2]Chhaya Kulkarni, Vandana P. Janeja, Nicole-Jeanne Schlegel:
Multi-Contextual Learning : Analyzing Melt Over the Greenland Ice Sheet. IGARSS 2023: 6736-6739 - 2022
- [c1]Mohammad Mousavi, Andreas Colliander, Nicole-Jeanne Schlegel, Julie Z. Miller
, John S. Kimball:
Detecting the Greenland Ice Sheet Strong Surface Melt During Summer 2021 using SMAP L-Band Microwave Radiometry. IGARSS 2022: 3790-3793
2010 – 2019
- 2016
- [j1]Eric Y. Larour, Nicole-Jeanne Schlegel:
On ISSM and leveraging the Cloud towards faster quantification of the uncertainty in ice-sheet mass balance projections. Comput. Geosci. 96: 193-201 (2016)
Coauthor Index
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