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L

Laura Rieger

technical university of denmark

9H指数
40论文数
296被引数
收录论文 8
发表时间
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Utilizing active learning to accelerate segmentation of microstructures with tiny annotation budgets
errENERGY STORAGE MATERIALS
IF20.2
err2024-11-01
err0
errOAAI
errRieger, Laura Hannemose; Jacquet, Quentin; Vanpeene, Victor; Villanova, Julie; Lyonnard, Sandrine; Vegge, Tejs; Bhowmik, Arghya
err分享
err收藏
Autonomous Battery Optimization by Deploying Distributed Experiments and Simulations通过部署分布式实验和仿真实现自主电池优化
errADVANCED ENERGY MATERIALS
IF26
err2024-10-18
err0
errOAAI
errVogler, Monika; Steensen, Simon Krarup; Ramirez, Francisco Fernando; Merker, Leon; Busk, Jonas; Carlsson, Johan Martin; Rieger, Laura Hannemose; Zhang, Bojing; Liot, Francois; Pizzi, Giovanni; Hanke, Felix; Flores, Eibar; Hajiyani, Hamidreza; Fuchs, Stefan; Sanin, Alexey; Gaberscek, Miran; Castelli, Ivano Eligio; Clark, Simon; Vegge, Tejs; Bhowmik, Arghya; Stein, Helge Soeren
err分享
err收藏
Unravelling degradation mechanisms and overpotential sources in aged and non-aged batteries: A non-invasive diagnosis解开老化和非老化电池的降解机制和过电位源: 一种非侵入性诊断
errJOURNAL OF ENERGY STORAGE
IF9.8
err2024-04-01
err1
errOAAI
errAppiah, Williams Agyei; Rieger, Laura Hannemose; Flores, Eibar; Vegge, Tejs; Bhowmik, Arghya
err分享
err收藏
Understanding the patterns that neural networks learn from chemical spectra (vol 2, 2023, 1957-1968)
errDIGITAL DISCOVERY
IF5.6
err2024-01-01
err0
errOAAI
errRieger, Laura Hannemose; Wilson, Max; Vegge, Tejs; Flores, Eibar
err分享
err收藏
PerQueue: managing complex and dynamic workflows
errDIGITAL DISCOVERY
IF5.6
err2024-01-01
err1
errOAAI
errSjolin, Benjamin Heckscher; Hansen, William Sandholt; Morin-Martinez, Armando Antonio; Petersen, Martin Hoffmann; Rieger, Laura Hannemose; Vegge, Tejs; Garcia-Lastra, Juan Maria; Castelli, Ivano E.
err分享
err收藏
Understanding the patterns that neural networks learn from chemical spectra
errDIGITAL DISCOVERY
IF5.6
err2023-01-01
err6
errOAAI
errRieger, Laura Hannemose; Wilson, Max; Vegge, Tejs; Flores, Eibar
err分享
err收藏
Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory不确定性感知和可解释的机器学习用于电池退化轨迹的早期预测
errDIGITAL DISCOVERY
IF5.6
err2023-01-01
err12
errOAAI
errRieger, Laura Hannemose; Flores, Eibar; Nielsen, Kristian Frellesen; Norby, Poul; Ayerbe, Elixabete; Winther, Ole; Vegge, Tejs; Bhowmik, Arghya
err分享
err收藏
Tunnel Effect in CNNs: Image Reconstruction From Max Switch Locations
errieee signal processing magazine
IF3.9
err2017-03-01
err0
errOAAI
errSaint Andre, Matthieu de La Roche; Rieger, Laura; Hannemose, Morten; Kim, Junmo
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
M
Miran Gaberšček
H 指数: 67 · 论文数: 373
T
Tejs Vegge
H 指数: 66 · 论文数: 434
O
Ole Winther
H 指数: 64 · 论文数: 385
P
Poul Norby
H 指数: 51 · 论文数: 276
J
Junmo Kim
H 指数: 43 · 论文数: 387
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